For many people, information technology has significantly helped sustain their quality of life during the pandemic. We are able to visit friends and relatives over video chat, to shop online, and to stream movies. Many people are able to work from home thanks to new technology. This should come as no surprise. Information technology has been creating new benefits for consumers, new well-paying jobs, and improved productivity growth for some time now. Large firms across the economy have been making huge investments in new information technologies that have delivered major social benefits.
These investments in software and hardware have accelerated in recent years, especially outside the tech sector. To just give a couple of examples, from 2015 to 2019, software and tech hardware investment in the waste management industry rose by 75 percent and 57 percent, respectively, as leading waste management companies built out digital platforms to deal with the increasingly complex flows of electronic and other types of waste. Over the same period, hotel chains and other accommodation companies boosted software and tech hardware investment by 71 percent and 37 percent, respectively, to manage costs and revenues. Pharmaceutical benefit managers invested in sophisticated information technology systems to handle the complex prescription and pricing policies that are at the heart of today’s drug distribution systems. And electric grid companies need complex monitoring and pricing systems to handle the new mix of renewable and non-renewable energy sources, and the flexible pricing models that come along with them.
The expectation is that these investments will eventually lead to broad gains in productivity in these industries, translating into a more prosperous society. Nevertheless, some large firm investments in technology have serious social consequences. Everyone is aware, for example, how social media platforms have helped misinformation to spread widely, misleading people about public health measures, vaccines, and political processes.
Yet, while misinformation is an important policy issue, it is not purely about digital technology — traditional media have also played an important role. Furthermore, only a few companies provide social media and there are deeper and broader problems raised by new generations of information technology.
More generally, recent economic research shows that increasing use of information technology has helped increase the dominance of large firms across the economy. This competitive advantage, in turn, has made it harder for new entrants and smaller firms, undercut innovation, exacerbated income inequality, and undermined government regulators.
These changes pose substantial challenges for policymakers. While we want to encourage firms to invest in new technology and to innovate — especially firms in those parts of the economy where productivity and use of technology has lagged — policy also needs to ensure that the knowledge of new technology and the benefits spread throughout society by opening up competition and increasing the flow of knowledge.
The problem is not “bigness” per se. Only large, complex systems can deliver these benefits, so we need large firms to innovate and invest in them. But policy can play a role in prompting or encouraging large firms to provide greater access to their technology and that can go a long way toward ameliorating the problems created by these new systems.
Based in Washington, DC and housed in The Progressive Policy Institute, The Innovation Frontier Project explores the role of public policy in science, technology, and innovation.
The future can be a better, more vibrant place, but we will need significant technological breakthroughs to get there. To solve climate change, cure diseases, prevent future pandemics, and improve living standards across the globe we need continued scientific advancement and technological improvements. The United States is particularly well- positioned to drive these advancements because we are on the frontier of knowledge ourselves. Even small changes to the way we govern and incentivize science and technology can have long-run consequences for the US and for the world.
To achieve the progressive goals we have for the future we need to fundamentally evaluate how policy impacts the rate of progress. The Innovation Frontier Project commissions research from talented academics and regulatory experts around the world to bring new ideas and ambitious policy proposals to these debates.
In a Star Wars Day-themed Radically Pragmatic podcast episode, Caleb Watney, Director of Innovation Policy at the Progressive Policy Institute, sits down with Rep. Derek Kilmer (WA-06) – Congress’s top Star Wars super-fan – for Star Wars trivia, and an exciting conversation on the future of technology innovation in America.
Caleb and Rep. Kilmer dig deep into their shared love of Sci-Fi, and talk about how fiction helps inspire technology improvements and innovations that can become a reality. Representative Kilmer also calls for more Science, Technology, Engineering and Math (STEM) education and apprenticeship opportunities and a reinvestment in research and development funding.
In a Star Wars Day-themed Radically Pragmatic podcast episode, Caleb Watney, Director of Innovation Policy at the Progressive Policy Institute, sits down with Rep. Derek Kilmer (WA-06) – Congress’s top Star Wars super-fan – for Star Wars trivia, and an exciting conversation on the future of technology innovation in America.
Caleb and Rep. Kilmer dig deep into their shared love of Sci-Fi, and talk about how fiction helps inspire technology improvements and innovations that can become a reality. Representative Kilmer also calls for more Science, Technology, Engineering and Math (STEM) education and apprenticeship opportunities and a reinvestment in research and development funding.
“We need to dedicate more funding to research and development. Period. My background is working in economic development. When I worked for the Economic Development Board of Takoma, we had a sign up in our office that said ‘We are competing with everyone, everywhere, every day, forever.’ Which I confess, kind of freaked me out a little bit. But I think it’s a pretty good ethic – not just for folks who work in local economic development, but it’s a pretty good ethic for our country, too.
“The reality is, we’re competing in a global marketplace and we’re not keeping up. We used to dedicate far more of our federal budget to R&D spending. We’ve seen a gradual decrease and now it’s at the lowest it’s been in 60 years. And I think that’s a problem. And we’ve been in this position before. We’ve seen this play out before in a different era. Congress rose to the challenge in a bipartisan fashion. Back in 1957, you had a satellite the size of a beach ball launched by the Solviet Union and Congress responded by doubling research and development spending, by tripling support for basic research, and put science education efforts on steroids. And that’s how we got to the moon first.
“We’re still seeing the benefits of those investments today – every time we use a touchscreen on a smartphone or a tablet, we’re using technology that was pioneered by NASA research. The question before us now is will we continue to allow those Sputnik moments to happen everyday without our nation stepping up?” said Rep. Derek Kilmer on the podcast.
Representative Kilmer serves on the House Appropriations Committee where he is as a member of the Subcommittees on Defense, Energy & Water, and Interior & Environment. He is also Chair of the Select Committee on the Modernization of Congress. In addition, Rep. Kilmer serves as chair emeritus of the New Democrat Coalition.
The Progressive Policy Institute (PPI) is a catalyst for policy innovation and political reform based in Washington, D.C. Its mission is to create radically pragmatic ideas for moving America beyond ideological and partisan deadlock. Learn more about PPI by visiting progressivepolicy.org.
Ahead of tomorrow’s House Judiciary Committee tech antitrust report markup, the Progressive Policy Institute’s Innovation Frontier Project has released a new paper outlining the strengths — and weaknesses — of the report, which ultimately misses the mark on digital regulations and might unintentionally hurt innovation in this vital American industry.
“The House Subcommittee has given us 400-plus pages of weak evidence that Big Tech companies actually harm consumers and reduce innovation in digital markets. On the contrary, the digital sector has been the most dynamic and productive sector of our economy for the last twenty years,” said Alec Stapp, Director of Technology Policy at PPI.
The report finds that the staff of the antitrust subcommittee has mostly missed the opportunity to grapple with the real problems arising from the tech sector. It has instead attempted to apply the static lessons of historical battles against monopoly to the fluid, fast-changing realities of digital innovation and competition today. The report offers scant evidence that major technology companies are actually suppressing competition or innovation in digital markets.
The report has pointed out legitimate issues involving use of data, arbitrary treatment of counter parties, and providing false information to regulators. But existing antitrust laws are adequate to handle these issues without invoking the drastic remedies discussed in the report. The answer, as it has been for over four decades, lies in an unbiased study of each market focused on how different actions affect consumer welfare. The House subcommittee report offers no compelling case for why that standard should be changed, and it fails to show how consumers have been harmed by the leading technology companies.
Report author Joe Kennedy is currently Senior Principal Economist for MITRE, Inc. He has spent 30 years working at the intersection of public policy and technology. Previous positions include Senior Fellow at the Information Technology and Innovation Foundation, Chief Economist at the Department of Commerce, and General Counsel of the Senate Permanent Subcommittee on Investigations.
By Joe Kennedy Progressive Policy Institute
Innovation Frontier Project
INTRODUCTION
On October 6, 2020 the majority staff of the Subcommittee on Antitrust, Commercial and Administrative Law of the U.S. House of Representatives Committee on the Judiciary issued a 400-page report on competition in digital markets.[1] It was the culmination of a 16-month investigation involving seven hearings, hundreds of interviews, and literally millions of pages of evidence. The long-awaited report received extensive media coverage, and criticism, after its release, but much of it was superficial and based on initial impressions. Since the subcommittee report is widely seen as a precursor to legislation in the 117th Congress, this review offers policy makers a comprehensive and detailed analysis of its strengths and weaknesses.
The subcommittee had an agenda, and its report should be seen as part of a broader political push to use the nation’s antitrust laws to curb the power of large technology companies. Critics of “Big Tech” run the gamut from right-wing populists, who see social media platforms as hostile to their worldview, to the progressive left, which claims these companies represent a danger to competition, innovation, local communities, and even democracy.[2] The report itself was produced by staff for the Democratic majority on the Committee, and no Republicans signed onto it. Ken Buck, a Republican member from Colorado, issued his own “Third Way” report that agreed with a few of the recommendations in the majority staff report, but did not endorse it in total.
Animated by such allegations, antitrust enforcement has recently become more aggressive, especially targeting large internet companies. Earlier this year the U.S. Department of Justice filed an antitrust suit against Google alleging the company had illegally maintained its monopoly power by signing agreements with distribution platforms, such as web browsers and operating systems, to make Google the default search provider. This was followed by a similar suit by most of the nation’s state attorneys general. The Federal Trade Commission and numerous attorneys general filed complaints against Facebook alleging the company had substantially reduced competition in the social networking market by acquiring Instagram and WhatsApp and that it had harmed consumer privacy with its data practices.
The House subcommittee report likewise focuses exclusively on Amazon, Apple, Facebook and Google. It alleges that the four companies have engaged in a number of anticompetitive actions, which have harmed consumers, competitors, and innovation. These conclusions came as little surprise, since they echoed previous statements and writings by both the subcommittee’s chairman David Cicilline (D-RI) and prominent subcommittee staffers.
On the positive side, the report gives readers a detailed if one-sided view of how the Big Tech firms operate and it offers several constructive suggestions for updating U.S. antitrust laws. It also makes a strong case for more frequent use of retrospective merger analysis. A great deal of merger enforcement requires agencies to make assumptions about the future. Comparing these assumptions with actual outcomes would likely improve future decisions.
The report also calls for more Congressional oversight of tech competition and regulatory transparency, including a requirement that antitrust regulators at the Department of Justice and the Federal Trade Commission offer written justifications for their actions. Importantly, the authors also favor providing both the Department of Justice and the Federal Trade Commission with additional resources to perform these duties.
Unfortunately, however, the subcommittee report suffers from three major flaws that make it an unreliable guide to legislation or regulation.
First, the subcommittee report is marred by many factual errors and inaccurate assumptions, which are detailed below.
Second, the report is largely silent on why these platforms are so popular with U.S. and indeed global consumers. Clearly, the palpable benefits they provide need to be weighed against the alleged harms from market power or anticompetitive actions. To the extent that the report does acknowledge such benefits as lower prices or better services, it complains that they create unfair competitive barriers to new companies trying to enter the market.
Third, it makes an unconvincing case that its proposed reforms would produce better outcomes for society. For example, its call to ban all mergers by dominant companies would likely deter venture capital investment and thus slow innovation, while prohibiting platform owners from competing with third parties would needlessly deprive consumers of choice.
Ultimately, the report fails to achieve its avowed goal of providing “a comprehensive understanding of the state of competition in the online marketplace” (p. 10). Instead, the subcommittee has produced a tendentious and empirically thin account that does not offer the targeted companies a chance to respond to its assertions of abuse.
THE NEED FOR STRONG ANTITRUST ENFORCEMENT
Large tech companies certainly are not immune to the temptations of anticompetitive behavior. In 2010, the DOJ’s Antitrust Division filed a complaint against several tech companies, alleging that they had mutually agreed to refrain from “cold calling” each other’s employees, thereby reducing competition and wages. These allegations also led to a class action civil suit. As a result of these actions the companies agreed to refrain from similar actions in the future and entered into settlements totaling $435 million.
In 2012, the Justice Department filed a case against Apple and five book publishing companies alleging that they conspired to raise the price of e-books. The publishers complained that Amazon was selling e-books for its Kindle reader at very low prices. The DoJ alleged that they struck an agreement with Apple to illegally collude to charge higher prices for e-books sold to users of Apple’s new iPad as well as Amazon’s Kindle. The publishers settled with the government. Apple challenged the government’s case in court, eventually losing and paying $450 million to settle the case.
The outcome of both these cases suggests that more vigorous enforcement of current antitrust laws, rather than a slew of new laws and rules, could be sufficient to handle clear cases of abuse. Some critics of the current antitrust regime have argued that the government should have fined the companies more and that the civil settlements should have been larger. But these objections go to the application of current laws rather than the need for new ones.
The subcommittee report is not wrong in arguing for diligent antitrust enforcement. Even experts who don’t think new antitrust laws are necessary agree that the laws we have could be better enforced.[3] The report describes several practices that, if verified, could justify enforcement action. These include agreements between companies to coordinate on limiting competition and responding to lawsuits, manipulating platform results to favor their own products over those of competitors in a way that degrades the experience of users, and providing misleading information to government agencies.
DUBIOUS PREMISES AND FACTUAL ERRORS
While the report included some valid claims about the need for more vigorous antitrust enforcement, its core argument is much more extreme:
Although these four corporations differ in important ways, studying their business practices has revealed common problems. First, each platform now serves as a gatekeeper over a key channel of distribution. By controlling access to markets, these giants can pick winners and losers throughout our economy. They not only wield tremendous power, but they also abuse it by charging exorbitant fees, imposing oppressive contract terms, and extracting valuable data from the people and businesses that rely on them. Second, each platform uses its gatekeeper position to maintain its market power. By controlling the infrastructure of the digital age, they have surveilled other businesses to identify potential rivals, and have ultimately bought out, copied, or cut off their competitive threats. And, finally, these firms have abused their role as intermediaries to further entrench and expand their dominance. Whether through self-preferencing, predatory pricing, or exclusionary conduct, the dominant platforms have exploited their power in order to become even more dominant. (p. 6)
Given the size and complexity of each firm, as well as the differences between them, one would expect these conclusions to rest on a strong body of factual evidence. Indeed, the reliance on empirical evidence showing harm to consumers traditionally has been the bedrock of antitrust policy. That is not the case here.
One conceptual problem with the report is that it narrowly defines the markets these companies compete in. These are large companies and if the market they do business in is defined narrowly in terms of product and geography, one would expect to see them raise prices and reduce output in order to increase profits. As it happens, however, they do not. Instead, what is happening in many markets for digital services is a rapid decline in prices matched with a fierce attempt to attract more users, the opposite of what we expect from oligopolies. On the other hand, if their markets are defined more broadly – and accurately – it becomes clear that tech companies face greater competition and have less scope for behavior that harms consumers.
Of course, defining markets correctly isn’t always easy. For example, consider the market for apps. iPhone users have few options to download apps other than from its App Store; they cannot take advantage of Android apps. From this, the subcommittee leaps to the conclusion that competition for apps is lacking. That ignores the fact that purchasers of new phones undoubtedly take the availability and security of specific apps they want into consideration when deciding between Apple and Android phones. Similarly, many consumers who want to purchase a book and have it delivered to their home the next day probably go to Amazon. However, for most purchases, consumers also consider other choices, including alternative websites and brick-and-mortar stores. The latest ecommerce figures show that brick-and-mortar retail still accounts for 86% of total sales — even during the pandemic.[4]
Or take the case of advertising markets. Google and Facebook don’t compete directly in search or social networking, but they do compete for online advertising dollars. Although advertisers increasingly feel a need to be online and smaller companies have fewer alternatives, the largest companies also purchase advertising in other media, including television, radio, and print. They use high-priced consultants and sophisticated software to measure the return from different media and negotiate the best prices. And while Google and Facebook offer users very different services, they do compete fiercely for users’ time.
The report is also riddled with factual errors and displays a sloppy approach to sourcing. For instance, in emphasizing the dangers of Big Tech’s market power, the authors warn that: “Just a decade into the future 30% of the world’s gross economic output may lie with these firms, and just a handful of others” (p. 11). This misstates a McKinsey report that made this prediction: “If digital distribution (combining B2B and B2C commerce) represents about one-half of the nonproduction portion of the global economy by that time, the revenues that could theoretically, be redistributed across traditional sectoral borders in 2025 would exceed $60 trillion – about 30 percent of the world revenue pools that year.”[5] The McKinsey report is clearly referring here to ecommerce within the entire global economy, not just the four tech companies. To put the report’s erroneous forecast in perspective, last year the combined annual revenue of the four Big Tech firms was about half a percent of global economic output.[6]
More generally, the report contains 20 references to data in Statista. Like Wikipedia, Statista is a useful aggregator of statistics from a variety of sources. But the ultimate source of its data is available only to subscribers, not to those using its free service. It’s important to know where Statista is getting its data (and it would be reassuring to know the authors of the report do too).
Other assertions seem calculated to exaggerate the companies’ market dominance. After acknowledging that publicly available third-party estimates show Amazon controls about 40 percent of online retail sales, the report simply asserts, without citations, that “this market share is likely understated, and estimates of about 50% or higher are more credible.” (p. 15). It later notes, “The company is consistently one of the highest-priced stocks on Wall Street, which is a clear indication investors expect Amazon to maintain and expand its market power” (p. 252). But share price has nothing to do with market power. A company can double its stock price simply by doing a reverse stock split that exchanges every two existing shares of stock for one new share. A better gauge of market power is a company’s price/earnings ratio, which itself can be difficult to calculate.
Four Mistaken Assumptions
An implicit assumption running through the report is that important questions such as privacy and the preservation of a free press raise antitrust issues. The rapid rise of large internet companies with access to huge amounts of data that compete with press sources by providing content and selling advertisements clearly has had large effects and there is a strong argument for a policy response. But it’s not self-evident that applying antitrust doctrine to these new problems is the right response.
For example, the rise of the credit reporting agency and the ubiquity of credit cards have engendered deep concerns about data security, accuracy, and protection against fraud. Although both industries are highly concentrated, antitrust enforcement has not been the main enforcement tool for these problems. Instead, specific laws such as the Fair Credit Reporting Act spell out clear market rules that firms must play by. Similarly, tech markets would benefit from a national privacy law that avoids the heavy-handed regulation embraced by the EU’s General Data Protection Regulation or California’s Consumer Privacy Act. And if Congress believes some or all news publishers deserve help in order to strengthen society and democracy, it can pass legislation such as the Local Journalism Sustainability Act, which would give taxpayers certain tax credits for supporting local newspapers and media.
A second flawed assumption involves the value of data and the degree to which it conveys market power. The report assigns superpowers to data:
Data allows companies to target advertising with scalpel-like precision, improve services and products through a better understanding of user engagement and preferences, and more quickly identify and exploit new business opportunities. Much like a network effect, data-rich accumulation is self-reinforcing. (p. 42)
Each of the four companies collects massive amounts of data as part of its normal function. Much of this data is never used. What is used obviously gives the firms a degree of market power, partly because it improves the value of the products they offer. For instance, Google’s knowledge of what search results users click on helps it move the most popular choices up to the front, reducing time spent searching.
Although data is extremely important, it does not convey overwhelming market power. Unlike oil and most other physical goods, the same data can be used repeatedly by many people and, as we have seen, most of it is relatively cheap. Data can also become obsolete and its marginal value can decline quickly. More data, even a lot more, does not always convey a greater competitive advantage. For example, the accuracy of internet search did not decline when companies significantly lowered the amount of time past searches were stored for.[7] Economists Anja Lambrecht and Catherine Tucker have argued that data itself seldom provides a company with a competitive advantage, especially in the face of a superior product offering.[8] The algorithms, business models, and, especially, the products themselves are what really matter.
A third assumption involves the staying power of these companies. There is no doubt that each of the four firms is a powerful presence in its core markets. But is this because they consistently offer users the best options or because of anticompetitive tactics? Even as it repeatedly accuses the firms of inhibiting competition, the report also acknowledges that their products are the best. Google search, for example, is by any objective measure far better than its main rival, Bing. Amazon’s breadth of selection and quick delivery are unmatched. Facebook offers more coverage and services than any rival. The staff merely asserts without much evidence that these services would be even better if the dominant companies were more stringently regulated to prevent them from subverting competition.
Nor does the subcommittee seem to appreciate the long list of companies once considered dominant that have fallen from their high perch.[9] Google was preceded by Yahoo! and AltaVista. Blackberry and Nokia were the dominant phone companies until the iPhone came along. A&P, Sears, and Walmart dominated retail sales long before Amazon. Finally, Myspace cratered shortly after its sale to News Corporation for $580 million.
Each market continues to experience rapid technological change and an inflow of new venture capital funding. This results in constant improvements in their offerings. Companies that fail to continuously offer the best value are unlikely to last. For example, although the report points out that the ongoing pandemic has dramatically increased Amazon’s revenue, it fails to mention that the firm’s market share has fallen due to shipping delays and out-of-stock items.[10]
Fourth, the report discounts the benefits of vertical expansion into adjacent markets. In fact, it views such activity exclusively as a ploy by companies to leverage market power in one industry to create it in others. Yet, consumers often benefit from having one company solve multiple problems at once. One of the enduring advantages of Apple products is their unified design in which every piece of hardware and software is built around the others. Similarly, Tesla’s electric vehicles are an integrated package — the company develops the software, batteries, and many of the vehicle’s parts in-house. Entry into new markets creates more competition and usually helps consumers.
A Jaundiced View of Acquisitions
Similarly, the report overstates the anti-competitive danger of mergers. Most criticism of the failures of past merger policy in Big Tech centers on Facebook’s acquisitions of Instagram and WhatsApp. This accounts for only two of the over 600 acquisitions by the four companies mentioned in the report.
Both proved to be huge successes. But neither looked like sure bets at the time they were announced. In fact, four years after it was completed, Facebook’s purchase of Instagram was ranked 15th on a list of worst tech deals of all time.[11] In any event, these mergers were carefully scrutinized by the relevant regulators. The Federal Trade Commission (FTC) and the European Commission examined the WhatsApp deal and approved it, while the FTC and the United Kingdom cleared the Instagram purchase.
No one knows whether Instagram or WhatsApp would have become such large platforms if Facebook had not purchased them, especially once Facebook introduced its own competing products. Retrospective studies repeatedly show that historically a high portion of mergers and acquisitions fail to earn back their cost of capital.[12] In light of deals such as News Corporation and Myspace, Time Warner and America Online, and eBay’s purchase of Skype, there is little reason to think the tech community is immune from making poor business decisions.
The report depends on two widely cited studies to support its position that mergers represent a growing threat to innovation. Last year, economists Sai Krishna Kamepalli, Raghuram Rajan, and Luigi Zingales published a paper showing that the prospect of an acquisition by an incumbent platform can undermine early adoption by users and create a “kill zone” where new ventures fail to get funding.[13] And indeed, the report alleges that funding for venture capital has fallen significantly (p. 47). Another study by Colleen Cunningham, Florian Ederer, and Song Ma showed that technology in acquired companies was less likely to be developed when it overlaps with the acquirer’s existing products, especially when the acquirer faces weak competition.[14]
The Kamepalli study is based on a small sample of nine acquisitions, seven by Google and two by Facebook. Even worse, according to Mark Jamison, the acquisitions that are included in the sample don’t meet the assumptions the authors chose for their model and should be tossed out.[15] The Cunningham paper looks exclusively at the pharmaceutical industry, in which trade secrets, patent protection, and heavy product regulation play a much larger role than in the tech industry. As a result, the study may have limited applicability to other sectors of the economy.
The report claims erroneously that venture capital investment in the United States has not been growing. Although it leveled off in 2019, tech funding was still 54 percent above the 2017 level.[16] The number of angel and seed deals rose by almost six-fold between 2006 and 2019, peaking in 2015. The number of early deals rose by 2.4 times. The report claims that “The rates of entrepreneurship and job creation have also declined over this period” (p. 47). But the data for this statement end a decade ago in 2011.
There’s no doubt that acquisitions can present antitrust problems and merit close scrutiny by regulators. But experience also shows that acquisitions put talent and technology in the hands of companies that can deploy it more quickly and over a wider market. Mergers also encourage investment in new firms by giving venture capitalists another exit strategy beyond an IPO.
Incorrect Claims About the State of Competition Beyond Big Tech
The report misjudges the context in which the broader antitrust debate is playing out. Concentration is rising across the economy, but in most industries it remains well below levels that have traditionally caused concern. Although the Big Tech firms represent a rising share of the S&P 500, the share of the stock market accounted for by the top five firms remains well below where it was in the 1960s, when antitrust enforcement was much more active.[17] Nor are companies making significantly greater profits, especially when we limit ourselves to domestic nonfinancial firms.[18]
The existence of high markups on products is also not necessarily a serious concern.[19] In markets with large fixed costs and economies of scale, a company can charge large markups in price over what it costs to produce each additional unit and still suffer losses because margins are not high enough to recover large fixed costs. In general, there are also reasons to think that estimates of marginal costs for companies across the economy are not adequately measuring increased investments in hard-to-measure intangible assets. The rise of superstar firms across a wide variety of sectors reflects their success in combining investments in information technology with a diffuse set of intangible assets including organizational transformation, software production, worker training, and brand equity, not in quashing competition.[20]
Running through the report is an implicit assumption that big companies have an obligation to help their competitors succeed, or at least go to great lengths to avoid harming their prospects for success. This assumption collides with a 40-year consensus that antitrust law should be largely indifferent to whether particular actions harm competitors and instead focus on their effect on consumers.
To what extent are large firms obliged to help their rivals? Normally a firm could refuse to deal with a strong competitor if it believed cooperating would disproportionately help the other firm. It could also cut off existing suppliers and customers without a clear reason. And it would never have to worry whether the introduction of a new improvement would harm competitors. The report strongly implies that at some point, large firms lose the right to behave like any other company. But it does not spell out what actions Big Tech should be permitted to take to improve its market share.
For instance, Google and Facebook constantly make changes to the algorithms behind Search and News Feed. Because of their dominance, these changes can have large effects on other companies. “Due to their outsized role as digital gateways to news, a change to one of these firm’s algorithm can significantly affect the online referrals to news publishers, directly affecting their advertising revenue,” the subcommittee notes. (p. 63). Similarly, while making it clear that leading firms should seldom be allowed to acquire new firms, it seems uncertain about whether the firm should be allowed to develop a competing product that might put a rival out of business. It would be reassuring if the report had clearly stated that even the largest firms have the right to improve their products, even if doing so has a negative effect on the profitability of competitors.
WEIGHING RISKS AND BENEFITS
Any objective evaluation of competition in technology markets must examine both the benefits and problems created by technology. Textbook economic theory assumes that every company has a small share of the market. In real life, many markets consolidate around a few large producers. While this gives companies the ability to influence volume and prices, larger firms often succeed because they are more productive and therefore are able to offer more variety and lower prices. That’s why U.S. antitrust law has traditionally focused on weighing the threat to competition against the promise of greater efficiency. Each of the four companies examined by the subcommittee delivers significant economic and social benefits that consumers obviously value highly. The report, however, not only discounts the benefits tech companies provide, but views them in a sinister light as threats to competition.
Is Big Always Bad?
In many industries, size brings strong advantages. One involves economies of scale: As companies produce more, the marginal price of producing each additional unit of a good or service falls. That’s why car manufacturers, for instance, need to achieve a certain size before they can compete effectively with incumbents. One reason why Google’s search engine is the most popular is that doubling the number of users does not double its costs and its sheer size provides the company with more data.
A second advantage involves network effects, where the value of a product to any user increases with either the number of other similar users (direct effects) or the number of users on the other side of the market (indirect effects). Facebook becomes more valuable to you every time one of your friends joins it. It wouldn’t be very convenient if your friends were spread out over 20 social networking sites, even if those sites competed fiercely on prices and services. As the number of users of any platform grows, so does its value to advertisers (an indirect network effect).
Markets can benefit from economies of scope as well as scale. It is sometimes more efficient to have one company produce all of a product than to divide the work among many firms, each producing a single component. Google’s dominance of various submarkets of internet advertising may raise anticompetitive concerns. But it likely makes the integrated system more efficient and cheaper than if it was subdivided into many parts. Yet the subcommittee report views large company size as inherently suspect and seldom acknowledges the manifest economic and consumer benefits it brings.
How Valuable Is Data?
Even as it acknowledges that many services offered by tech companies are either free or inexpensive, the report minimizes the value proposition for users. It argues that “not withstanding claims that services such as Google’s Search or Maps products or Facebook are ‘free’ or have immeasurable economic value to consumers, the social data gathered through these services may exceed their economic value to consumers” (p. 46). In other words, the report claims that consumers are trading their personal data for too little in return.
Yet the subcommittee offers little evidence that consumers attach great value to the personal data the companies collect. Certainly, they value privacy, and few would care to have their medical prescriptions or credit cards made public. But companies that don’t protect that information already pay a heavy price. But do you really care if some algorithm sends you a coupon for the new shoes you were shopping online for or if Google Maps knows where you are driving if the aggregated data helps you avoid traffic jams? The experience of the Internet era, here and abroad, is that most consumers are willing to trade some degree of privacy for the ability to communicate instantly and cheaply with friends and family across the globe, to have access to information about anything, and to purchase products more conveniently and at a lower price.
Your personal data has very little market value. An article in the Financial Times examined the market price charged by data brokers. General information including gender, age and location was worth only $0.005 per person. Information about someone shopping for a car cost $0.0021 per person. Finally, knowledge that a woman is in her second trimester of pregnancy and therefor likely to be a significant purchaser of baby products, commands $0.11 per woman.[21]
But people do place a huge value on the services they get in return. A recent online choice experiment involving users found that individuals would have demanded $17,530 to give up search engines for a year.[22] The equivalent values for email and maps were $8,414 and $3,648, respectively. Considering just the top five functions, the average person attached a value of $31,607 to services that they essentially get free or at very low cost. For comparison, the report notes that Facebook reported an average revenue per user of only $36.49 in the United States and Canada in July 2020 (p. 171). Rather than face these realities, the report mostly ignores the vast disparity between the costs and benefits of today’s tech platforms, while asserting they would be greater if the market power of the providers was reigned in.
Do Big Tech Companies Stifle Innovation?
Another key charge in the report’s sweeping indictment of tech platforms is that they inhibit economic innovation. In reality, a raft of studies shows they are the source of much of the innovation the U.S. economy has enjoyed in this century. In a 2018 survey of the top 1,000 global companies, Amazon and Alphabet (Google’s parent) take the top two positions, investing $22.6 billion and $16.2 billion, respectively. Apple was eighth ($11.6 billion) and Facebook was 16th ($7.8 billion). For comparison, the big manufacturers Ford and Merck U.S. spent $8.0 billion and $10.2 billion respectively and ranked 12th and 15th respectively.[23]
Tech research and development, moreover, is not confined to existing markets. These firms are leading investors in frontier technologies including artificial intelligence, autonomous vehicles, quantum computing, robotics, and cloud computing. In each case, they face strong competition, often from established companies with deep expertise in the field. Would tech firms keep pushing the envelope if their profitability was substantially damaged? The report doesn’t address the question. Yet U.S. leadership in these technologies has huge implications for both future productivity and national security, given fierce technology competition with China.
The tech companies innovate constantly to make their core products better. Yet the report routinely misrepresents innovation as a threat to competition. It notes, for example, that a “challenge facing upstart search engines is the growing number of features and services that a general search provider must offer to be competitive with Google” (p. 83). True, but competition of course is what impels companies of all kinds to grow large, so they can enjoy economies of scale. All large companies benefit from economies of scale. In the same paragraph the report lists some of these “mandatory high-quality search features:” maps, local business answers, news, images, videos, definitions, and “quick answers” (p. 83). All are bundled in the service at no cost to users.
When Are Low Prices Bad?
Many popular services such as Google Search and Facebook, as well as many apps, are priced at zero. In fact, prices for digital services of all kinds are falling. A 2019 report by the Progressive Policy Institute noted that the cost of internet advertising had declined by 40 percent since 2010, while other forms of advertising had not gotten cheaper.[24] Price declines have had an even broader effect. Economist Thomas Philippon estimated the rise of ecommerce has amounted to a permanent increase in consumption of one percent.[25] Meanwhile, The Economist reported that inflation of online prices is running one percentage point below general inflation, saving consumers millions of dollars.[26]
The subcommittee report complains that “Amazon’s below-cost prices on products and services tend to lock customers into Amazon’s full marketplace ecosystem” (p. 297). Antitrust theory recognizes the danger of “predatory pricing,” in which a company lowers prices to drive out competition and then raises them later to boost profits. But the report adopts an absurdly expansive definition of the concept to include “any situation where a dominant firm prices a good or service below cost in a way that is harmful to competition” (p. 297). It’s true that when any company, large or small, lowers prices, it will undercut competitors. On the other hand, it may sharpen price competition, benefitting consumers. A better approach would be to focus on whether consumers are harmed in either the short- or long-term. Although the report mentions many instances of lower prices, it provides little proof of harm to consumers. If lower prices result from greater efficiency, they are a blessing.
It’s worth noting that the subcommittee’s dark view of low prices is not shared by most antitrust courts and practitioners. Consider the example of diapers.com, owned by Quidsi, also an Amazon third-party seller of diapers. Amazon dramatically lowered the cost of diapers on its platform, causing large losses to both companies. Eventually, Amazon purchased Quidsi, thereby eliminating a competitor from the market. To the subcommittee, this is a clear example of Amazon using its size to drive out a competitor so that it could later charge above-market prices.
But that’s not what happened. For one thing, it was actually Quidsi that first started selling diapers below cost to gain market share. As Quidsi’s founders explained:
[W]e started with selling the loss leader product to basically build a relationship with mom. And once they had the passion for the brand and they were shopping with us on a weekly or a monthly basis that they’d start to fall in love with that brand. We were losing money on every box of diapers that we sold.[27]
Amazon’s actions created a dilemma for Quidsi. It was not big enough to sustain the losses needed to match Amazon’s low prices. But it could not raise prices without losing market share to Amazon and other sellers. Eventually it accepted a $545 million offer from Amazon.
The story doesn’t end there. Even with Quidsi, Amazon was part of a highly competitive market for diapers that includes strong brands such as Pampers and Huggies, as well as large retailers including Walmart and Target. And while Amazon had acquired 43 percent of the online baby supply market by 2016, 80 percent of all sales occurred offline. Unable to make money, Amazon eventually wrote off Quidsi at a loss.[28] Meanwhile Quidsi’s former owners used their money to start a new online retail company, Jet.com, which they eventually sold to Walmart for $3.3 billion.[29] What the subcommittee staff see as a clear-cut case of predatory pricing was actually a costly strategic error by Amazon management.
Confusion about Winners and Losers from Competition
The authors of the Cicilline report take the view that pro-consumer behavior from Big Tech should be viewed as anticompetitive behavior simply because it raises the bar for competitors. For example, looking at the impact of Google Maps, it states, “Whereas market leaders TomTom and Garmin sold navigation services through subscriptions, Google was offering its service for free–a fact widely seen as disfavoring the incumbents, whose stock prices fell upon Google’s announcement” (p. 232). Similarly, it notes “Other retailers are unable to match Amazon on its ability to provide free and fast delivery for such a large volume and inventory of products” (p. 260). Offering consumers more services at no additional cost is a textbook case of increasing the level of competition in a market.
In discussing Facebook’s development of Open Graph, which lets third-party apps interact with data on Facebook, the subcommittee alleges that it gave Facebook the ability to prioritize access to its social graph (a list people who are “friends” or who follow each other in a social network) “effectively picking winners and losers online” (p. 149). The report recognizes that “Facebook’s Open Graph provided other companies with the ability to scale through its user base by interconnecting with Facebook’s platform. Some companies benefited immensely from this relationship, experiencing significant user growth from Open Graph and in-app signups…” (p. 149). There is no attempt to measure the large benefit conferred on companies that used Open Graph against the losses to those that Facebook allegedly discriminated against. Nor is there any discussion of why the subcommittee thinks it should be illegal for a company to introduce a product that benefits some developers but not all.
In contrast, the report does acknowledge some of the benefits of app stores, which “provide mobile device users with a sense of trust and security that the apps they install from an app store have been reviewed, will not harm the user’s mobile device, will function as intended, and will not violate user privacy…. By reducing the costs of app developers, app stores help make software applications more affordable for consumers” (p. 94).
Nonetheless, elsewhere the report criticizes both Apple and Google for using their app stores to disadvantage potential competitors. Even if we assume such favoritism would be anticompetitive, it is not clear how regulators would distinguish it from legitimate efforts to protect the integrity of each platform’s app store. The problems posed by each case would have to be measured against the benefits, which would be a regulatory nightmare.
Finally, the report acknowledges that, “For many sellers, there is no viable alternative to Amazon, and a significant number of sellers rely on its marketplace for their entire livelihood” (p. 274) and “Due to a lack of alternatives, third-party sellers have no choice but to purchase fulfillment services from Amazon” (p. 287), it adds. But 56 percent of Amazon merchants also sell on eBay and 47 percent have a personal site.[30] Meanwhile, Shopify is growing rapidly, partly because it makes it easy for sellers to create their own websites. For those sellers limited to Amazon, the report does not explore how much worse off they would be if Amazon did not allow third-party sellers. Nor does the report ask whether third-party sellers are happy or unhappy with the arrangement. The subcommittee simply asserts that stricter antitrust enforcement would provide a superior outcome.
COUNTERPRODUCTIVE REMEDIES
Having misjudged the nature of digital markets and the main source of competitive advantage, the report then proceeds to recommend legislative and regulatory solutions that will be difficult to implement and unlikely to increase consumer welfare.
Banning Acquisitions
The subcommittee proposes to limit a large firm’s ability to acquire future companies. This supposedly would ensure that new companies could grow to the point where their innovations would be available to all companies, not just the acquirer, and possibly even become a serious challenger to the dominant firm. The report also calls for eliminating current reporting exemptions for dominant firms (defined as having a market share of over 30 percent) so that even the smallest transactions are subject to antitrust review. It would also reverse the burden of proof. Instead of requiring the government to show an acquisition would harm consumer welfare by raising prices or slowing innovation, the company would have to show that consumers would benefit and that these benefits could not be achieved in other ways (p. 387). The standard would change such that acquisitions by dominant firms would be forbidden even if they resulted in efficiencies and even if there was no reason to think that the acquired firm would be a successful challenger (p. 393).
This ban on acquisitions would likely have a chilling effect on venture capital firms, which often fund new companies in hopes they will be acquired by larger ones. It also fails to recognize that firms differ in their core strengths. Smaller firms are often more able to concentrate on developing a small number of important innovations while larger firms have a better capacity to integrate innovations into an existing product and scale them up for a national or even global audience. Left on their own, small firms may not have either the resources or the skills to take on an established firm.
Breaking Up Big Tech
The report also advocates structural reforms that would break up Big Tech firms either by forcing them to sell off major parts of their business or prohibiting them from offering their own products and services on their platforms that compete with third-party sellers. This reflects the subcommittee’s suspicion that dominant firms have an irresistible incentive to discriminate against third party products in favor of their own brands.
Physically breaking up Big Tech would be a Herculean task. Forcing Facebook to sell Instagram or separating Amazon Marketplace from Amazon Web Services would require the courts or regulators to make complex decisions about organizational structure and market prices. It tends to assume that management structures are not heavily intertwined. The government has not made a major effort to break up a monopolist since the case against Microsoft at the turn of the century (and even then, an appeals court reversed the structural breakup and imposed a less severe behavioral remedy). A review of past cases concluded that, with the exception of the AT&T case, in which the same results could have been achieved with a regulatory rule, breakups failed to increase competition, raise industry output, or lower prices.[31]
Forbidding companies from using their own platforms even as they host third parties would ban a common business practice and harm consumers. Chairman Cicilline has compared such a ban to the Glass-Steagall statute, which prohibits commercial banks from owning investment banks or other businesses. But that statute was passed in order to prevent banks from extending the benefits of federal deposit insurance to other activities (not to prevent banks from competing with third parties). Instead, it may have decreased the stability of the financial system by preventing financial institutions from diversifying their risk.[32]
Some third-party products are protected by copyright or patent law. But where this is not the case, there is nothing wrong with one company trying to copy or improve on another’s product. In fact, patent holders are required to disclose their innovations precisely to allow others to build on them (with the appropriate licensing agreements). Large retailers including Walmart and Costco and large grocery chains routinely offer their own branded products next to those of major third parties. These offerings give consumers more choice and lower prices. Eliminating them would kill jobs and harm consumers. The subcommittee staff tries to distinguish Amazon from brick-and-mortar stores by arguing that the latter have much less detailed information about the competing products they offer and far less information about buyers’ shopping habits and preferences than does Amazon (p. 282). However, the report does not show that this additional data conveys a substantive advantage. Nor does it acknowledge that the brick-and-mortar retailers are rapidly trying to catch up.[33] For example, Walmart is the third biggest spender on IT in the US, trailing only Amazon and Google.[34]
Forcing companies to choose between offering their own products and opening up their platforms to third-parties may also be counter-productive. Although Amazon is unlikely to abandon third parties, other retailers, such as Macy’s, may become less likely to open theirs up, thus reducing the alternatives to Amazon for third-party sellers. It is also not clear that private labels are always a threat to third-party offerings. (Your friendly neighborhood grocery store does this all the time). Although selling its own brand may result in more revenue, it may lower margins, because of the extra costs incurred from manufacturing and because the revenue is offset by the loss of commissions on third-party sales. In fact, platforms that charge higher commissions to third-party sellers have less of an incentive to offer their own labels. Finally, platforms may get around this ban on owning the platform and competing on it by purchasing third-party products before offering them to consumers. This would not increase the bargaining power of outside suppliers. Neither would it protect suppliers from suddenly being terminated in favor of another product.
The subcommittee advocates invoking the essential facilities doctrine, which would force Big Tech firms to deal with all competitors on equal and fair terms like utilities. Such solicitude to competitors is not required of ordinary companies. In fact, the doctrine, which does not explicitly exist in statutes and has never been recognized by the Supreme Court, is rarely invoked. Doing so would involve either the courts or regulators in numerous disputes about whether specific contract terms were in fact fair. The Supreme Court explained the dangers in a recent case: “Enforced sharing also requires antitrust courts to act as central planners, identifying the proper price, quantity, and other terms of dealing–a role for which they are ill-suited. Moreover, compelling negotiation between competitors may facilitate the supreme evil of antitrust: collusion.”[35]
CONCLUSION
The market power of Big Tech raises many serious policy issues related to consumer prices, innovation, privacy, data security, misinformation, radicalization, and inequality. Most of these don’t involve antitrust. Those that do, such as consumer prices and innovation, require a careful weighing of the benefits against the threat to competition.
Unfortunately, the subcommittee has mostly missed the opportunity to grapple with these real problems arising from the tech sector. It has instead attempted to apply the static lessons of historical battles against monopoly to the fluid, fast-changing realities of digital innovation and competition today. Its report is mainly a parable about the perils of bigness. Big companies are indeed powerful and merit strong public oversight. But large size is often a marker of legitimate business success. The main reasons the Big Tech companies are so successful and big is that they provide the best products and services for billions of consumers in the United States and around the world. The report offers scant evidence that these companies are actually suppressing competition or innovation in our very dynamic digital markets.
Getting this right matters. Internet platforms may be the business model of the new century. Business models that combine massive data with sophisticated artificial intelligence and bring together different parts of a market may be the key to making large improvements in the quality and affordability of major sectors including education, health care, construction, energy transmission and government services, all of which continue to lag behind the digital sector in boosting productivity and good job growth. [36]
The report has pointed out legitimate issues involving use of data, arbitrary treatment of counter parties, and providing false information to regulators. But existing antitrust laws are adequate to handle these issues without invoking the drastic remedies discussed in the report. The answer, as it has been for over four decades, lies in an unbiased study of each market focused on how different actions affect consumer welfare. The report offers no compelling case for why that standard should be changed, and it fails to show how consumers have been harmed by the leading technology companies.
ABOUT JOE KENNEDY
Joe Kennedy is currently Senior Principal Economist for MITRE, Inc. He has spent 30 years working at the intersection of public policy and technology. Previous positions include Senior Fellow at the Information Technology and Innovation Foundation, Chief Economist at the Department of Commerce, and General Counsel of the Senate Permanent Subcommittee on Investigations.
He is also President of Kennedy Research, LLC. The views expressed in this paper are his and are not necessarily shared by the Progressive Policy Institute (PPI) or any other organization. Mr. Kennedy is grateful to Alec Stapp of PPI for helpful editorial and substantive suggestions. All errors remain his responsibility.
The arrival of the first mass market smartphone in 2007 was one of the most important technological improvements of the past quartercentury.By effectively building a high-powered computer, radio, and sensors such as cameras and gyroscopes into a compact form factor, smartphone manufacturers were able to connect individuals in a way that was not possible before.
Following the introduction of the first iPhone in 2007 and the iPhone 3G in 2008, Samsung introduced several touchscreen-enabled phones in 2008 and its first Android-powered device in 2009 before releasing its first modern smartphone, the Samsung Galaxy S, in 2010. In the decade since, smartphones have become ubiquitous, with smartphone ownership rising from 35 percent of U.S. adults in 2011 to 81 percent by 2019.What is possible with a smartphone has evolved too, as more apps have become available and devices have been upgraded with better processors and graphics, larger memory capacity, longer battery lives, higher-powered cameras, and now have the ability to interact with remote objects. In addition to Apple and Samsung, smartphone brands today include Huawei, Xiaomi, Oppo, Motorola, Mobicel, Sony, Nokia, HTC, Vivo, and LG.
Today, the best-selling brand in the U.S. is Apple, with 61 percent of the market as of January 2021.In Europe and globally, the best-selling brand is Samsung, with 33 percent and 29 percent of the market as of January 2021 respectively.The average price of Apple phones is $873 in the United States, while other phones sell for much less. For example, the Motorola G Power 32GB smartphone retails for $200.
An important economic question is why consumers do not switch ecosystems more often when cheaper substitutes are available. The simplest explanation is that consumers view the top-end phones as offering enough value to justify their price, including faster processors, better cameras, higher quality screens, more memory, or any one of a number of other characteristics.
The other possibility, offered up by some policymakers in the U.S. and Europe, is that consumers feel locked into their current models by a high “cost of switching.”
“Switching costs include learning a new operating system, which can discourage users from leaving Google or Apple due to familiarity with their distinct operating systems, as well as the inability to easily port all of their data, such as messages, call history, and photos,” the House Judiciary antitrust sub-committee wrote in an October report on competition in digital markets.
On the face of it, the switching cost explanation for smartphone prices looks less and less likely over time. For example, learning a new operating system is hardly a barrier to today’s smartphone customers, who have been long inured to switching between multiple operating systems and devices at work, school, and at home.
The question, though, is whether there are any artificial structural barriers that make it more difficult than it needs to be to switch devices. In this paper, we explore the feasibility and cost of switching between iPhone and Samsung devices and vice versa. We note that while we outline how users can switch between these specific brands, the methods can be used to switch from iPhone to brands other than Samsung and vice versa. We begin by comparing brand loyalty in the smartphone market with other industries. We then identify the overlap of the top 200 free apps available on both ecosystems in the U.S. and E.U. as of March 2021, apps that copy data from an old device and transfer it to a new device at no charge to the consumer, and how users can manually port their data using the same or similar apps available on both platforms. Finally, we estimate how much time and money it takes to switch between devices, including the opportunity cost of time spent changing, relative to certain annual consumer expenditures in the U.S. and E.U.
A new report released today by the Progressive Policy Institute shows how the tech-ecommerce ecosystem is creating jobs at a pace comparable to post-war manufacturing. The report also analyzes the geographic job gains from the tech-ecommerce ecosystem, and the ecosystem’s ability to cushion the employment blow from the pandemic.
“People don’t think of tech as being a big source of jobs. But today’s tech-ecommerce leaders employ almost as many workers as did manufacturing giants such as GM, GE and IBM,” said Michael Mandel, Chief Economic Strategist at PPI.
This report comes at a turning point in the economic crisis caused by the pandemic. The U.S. Department of Labor announced today that the labor market had the largest rebound in jobs since August, with 916,000 jobs added in March, and unemployment falling to 6 percent.
Key findings from the report include:
The tech-ecommerce ecosystem – including both large and small employers – has arisen to become the top job creator in the U.S. economy.
Based on data from the Bureau of Labor Statistics, the industries in the tech-ecommerce ecosystem generated more than 1.2 million net new jobs from 2016 to 2020, including the pandemic.
Average pay in the tech-ecommerce ecosystem is 44% higher than average pay in the private sector, and 21% higher than average pay in manufacturing nationally.
The growth of tech-ecommerce jobs has also expanded beyond the coasts and regions known as tech innovation hot-spots, including growth during the pandemic in Arizona, Ohio, Texas, Indiana, and Florida.
For most of the 20th century, manufacturing was the paradigmatic industry for generating jobs through innovation. Industrial giants such as General Motors, General Electric, Eastman Kodak, IBM, and DuPont were renowned global technology leaders, blazing new trails in areas ranging from lighting and X-ray machines, to photographic film and computers, to synthetic materials such as nylon and Teflon and commercial jet engines.
Technological innovation, in turn, enabled these pioneering companies to become potent sources of good-paying jobs for U.S. workers. Collectively they employed millions of Americans, collaborating with smaller suppliers to form overlapping industrial ecosystems that supported communities in rural and urban areas across the country. Kodak was the classic example, of course, with the company’s powerhouse position in photography fueling the rise of its headquarters and main manufacturing center in Rochester (NY).
Manufacturing employment in the United States peaked in 1979. Since then, the sector has been a drag on job growth. Big companies have shrunk, consolidated, or disappeared. The once vibrant web of manufacturing suppliers has atrophied, with much of the supply chain now outside the country. And states where manufacturing once ruled have seen factory jobs dwindle, in some cases to almost nothing. In 1979, factory jobs accounted for more than one-third of the private workforce in 21 states, topped by South Carolina and North Carolina with fully 43% and 42% of their private employment in manufacturing. By 2019, those states were down to 15% and 13% of jobs, respectively, in manufacturing.
Instead, the mantle of global innovation leadership has shifted to America’s tech-ecommerce ecosystem. And perhaps surprisingly, so has the role of job creator. As we see in the next section, the top five tech-ecommerce firms—Apple, Alphabet, Microsoft, Facebook, and Amazon—employed 1.8 million workers globally as of early 2021. By comparison, the top 5 industrial firms by stock market value in the peak manufacturing employment year of 1979—GM, GE, IBM, Kodak, and Dupont—had a total global employment of 1.9 million, just slightly more.
By our calculations, the tech-ecommerce ecosystem—including both large and small employers—has arisen to become the top job creator in the U.S. economy. Based on data from the Bureau of Labor Statistics, the industries in the tech-ecommerce ecosystem (described
below) generated more than 1.2 million net new jobs from 2016 to 2020, including the pandemic. The next biggest growth sector was healthcare and social assistance, with 700,000 net new jobs created.
Moreover, average pay in the tech-ecommerce ecosystem, even omitting the headquarter states of California and Washington, is 44% higher than average pay in the rest of the private sector, and 21% higher than average pay in manufacturing nationally. This calculation is based on looking across all roles and positions in the tech-ecommerce ecosystem, from fulfillment center and delivery workers to software developers and AI experts.
In this paper, we analyze the historical role of manufacturing in job creation in the twentieth century, going back to the founding of General
Motors in 1909. Based on the metrics we calculate, we find that the tech-ecommerce ecosystem is as economically important to overall job growth today as manufacturing was during the postwar period.
Delving deeper into today’s tech-ecommerce workforce, we find that the distribution of pay in the tech-ecommerce ecosystem is spread out far more evenly than in the manufacturing sector. Manufacturing jobs are heavily concentrated in occupational groups with average hourly pay of $20 or less, based on data from the BLS Occupational Employment Statistics program. By contrast, the techecommerce sector has a relatively even distribution of low, middle, and high-paying jobs.
One concern is that tech-ecommerce jobs are excessively concentrated geographically in a few states, while manufacturing has historically been an important source of jobs over a wider area. In order to examine this issue, we developed three new tools to analyze the geographic impact of the tech-ecommerce ecosystem.
First, the PPI Tech-Ecommerce Manufacturing (TEM) Index compares tech-ecommerce and manufacturing jobs and pay for each state. The TEM Index gives states such as Colorado, Florida, and Georgia high marks because their tech-ecommerce ecosystem is sizable compared to state manufacturing, and those tech-ecommerce workers are paid more on average than manufacturing workers in those states.
Second, the PPI Tech-Ecommerce Change (TEC) Index measures the pre-pandemic contribution of the growth of tech-ecommerce jobs by state. We compare net new jobs generated by the tech-ecommerce ecosystem in the 2007-2019 and 2016-2019 periods with total net new private sector jobs to calculate the index. States such as Mississippi, Illinois and Ohio ranked high on the TEC Index because tech-ecommerce job growth helped compensate for slow job growth in other parts of the state economy.
Third, the PPI Tech-Ecommerce Resilience (TER) Index measures the ability of the tech-ecommerce ecosystem to cushion the economic blow from the pandemic. In virtually every state, private sector jobs fell from June 2019 to June 2020 while tech-ecommerce jobs rose. The index is calculated as the absolute value of net new tech-ecommerce jobs over this period, divided by the decline in private sector jobs. For example, Arizona was ranked number 2 by the index because of its large growth in tech-ecommerce jobs relative to the overall economy. Also high on the list were states such as Idaho, Utah, and Ohio.
We conclude with a brief consideration of the future of tech-ecommerce ecosystem jobs. Note that this paper draws on earlier PPI research, namely our 2017 papers, “An Analysis of Job and Wage Growth in the Tech/Telecom Sector,” and “How Ecommerce Creates Jobs and Reduces Income Inequality.”
A new report released today by the Progressive Policy Institute calls on the European Union to support artificial intelligence (AI) industry growth and innovation by enacting targeted reforms to help small and medium-sized enterprises (SMEs) in Europe succeed. The report also calls on the EU to consider policies to facilitate the emergence of a highly-skilled technical workforce, and strike a balance between consumer protections and overly burdensome regulations.
Report authors Caleb Watney and Dirk Auer outline the existing regulations that hamper the development of AI systems in the EU, as well as the unique promise AI holds for SMEs. Unlike the United States and China, the EU has largely failed to foster global players in the digital platform industry. Of the 30 largest internet companies in the world, only one is European. Those in the EU’s tech industry are smaller players who often rely on foreign AI platforms – mostly American – to boost AI adoption. The EU’s protectionist tax and trade measures hamstring these platforms, stifle innovation and limit job creation in Europe.
“There’s a real opportunity here for the EU to bootstrap the AI adoption process for their SMEs and become a global player in the tech industry. But it won’t happen without smart investment in public datasets, increased regulatory certainty, and an openness to working with rather than against US firms,” said Caleb Watney, Director of Innovation Policy at PPI.
Artificial intelligence is already being used across a wide range of domains to decrease power costs, improve logistics and sourcing systems, predict cash flows, streamline legal analysis, aid in drug discovery, improve factory safety conditions, and identify logistics efficiencies. This is in addition to opening up entirely new fields like autonomous vehicles, drone delivery systems, and instantaneous language translation. While many of AI’s most eye-catching use cases will likely remain the preserve of large platforms, the technology also holds tremendous promise for SMEs.
Key policy recommendations in the brief include:
Data investment as a public good:
Where appropriate, align incentives for the private sector to contribute industry-level SME data to public and private data trusts that could be used by everyone.
Invest in making more government datasets open to the public.
Fund Focused Research Organizations or similar groups with the explicit goal of creating new scientific and commercial public datasets.
Provide regulatory certainty:
Clarify existing regulations and the obligations that SMEs must meet when utilizing a new AI tool.
Consider the creation of a new SME regulatory website that provides informational resources to SMEs about the benefits of AI adoption for their business and the potential roadblocks that they need to be aware of.
Before promulgating new regulations or regulatory bodies, closely scrutinize the ecosystem to see if the same goal could be better achieved through existing industry specific regulations or fine adjustments to liability laws.
Encourage an ecosystem of AI platforms:
Avoid protectionist tax and trade policies that make it difficult for international AI platform companies to serve EU SMEs.
Invest in the creation of open-source AI platforms that could be utilized by SMEs and create a forum for receiving feedback on the types of tools that would be most useful for SMEs.
Articulate best practices on the member state level for encouraging AI adoption so that the best ideas can be identified and quickly adopted elsewhere.
Expand the AI talent pool
Encourage upskilling of the EU population by offering to cover a portion of the costs of specialized AI training courses.
Reevaluate EU immigration pathways to make them more attractive for international technical talent.
Facilitate global knowledge spillovers by removing potential obstacles to cross-border M&A.
12 Women Join the Effort to Diversify the Policy Debate
Today, the Mosaic Economic Project, an initiative of the Progressive Policy Institute, announced it’s second cohort of policy experts participating in the ‘Women Changing Policy’ workshop, March 29 – 31, 2021. The women are all experts in the fields of economics, business and technology, who are forging a path forward to bring a diverse perspective to today’s public policy debates.
The project’s goal is to locate, elevate, and advocate for the inclusion and engagement of experts with diverse experiences and an interest in meaningful policy conversations with a focus on Congress and the media.
“We are thrilled to welcome another class of talented, highly skilled, and diverse leaders to Mosaic Economic Project’s second cohort. This event will help this dynamic group of women hone their skills for high-profile engagement in public policy debates, and promote inclusiveness within the economic growth and innovation fields of study,” said Crystal Swann, Mosaic Economic Project team lead.
This diverse and talented group of leaders will hear from experts in public policy and media, including leaders and representatives from the United States Congress, the media, communications consulting firms, and more.
The Mosaic Economic Project Cohort includes:
Hilary Abell, co-founder of Project Equity
Dr. Lisa Abraham, Associate Economist at the RAND Corporation
Joanna Ain, Associate Director of Policy at Prosperity Now
Talisha Bekavac, Vice President of Government and External Affairs for the U.S. Black Chambers (USBC)
Dr. Carycruz M. Bueno, Postdoctoral Research Associate at the Annenberg Institute and The Policy Lab at Brown University
Melissa Gopnik, Senior Vice President at Commonwealth
Dr. Tiffany Green, Assistant Professor of Population Health Sciences and Obstetrics and Gynecology at the University of Wisconsin-Madison
Dr. Leshell Hatley, Associate Professor of Computer Science at Coppin State University
Gabriella Kusz member of the Board Directors and Public Policy and Regulation Committee of the Global Digital Asset and Cryptocurrency Association
Aditi Mohapatra, Managing Director at BSR
Dr. Sarah Oh, Senior Fellow at the Technology Policy Institute
Jessica Schieder, Federal Tax Policy Fellow at the Institute on Taxation and Economic Policy (ITEP)
For more information on how to contact the members of the Mosaic Economic Project please reach out to Crystal Swann at cswann@ppionline.org.
On Wednesday, the Arizona House of Representatives passed a bill that would require Google and Apple to allow Arizona-based app developers to choose their own alternate payment systems — and thus avoid the 15 to 30% commissions the app stores typically charge. This legislation follows on the heels of antitrust lawsuits by Epic Games, the developer of hit game Fortnite, against Google and Apple for monopolizing app stores. Many other states are considering similar bills. Some are also considering more extreme rules requiring the tech giants to allow sideloading, or the ability to download software programs outside of the default app stores. Google’s Android currently allows sideloading while Apple’s iOS does not.
What these proposed laws share in common is a highly prescriptive view of what technology platforms should allow and how their business models should work. The market has been running a decades-long test on consumer preferences for open vs. closed platforms: On desktop, consumers can choose Windows if they want a more open experience and macOS if they want a more closed experience. Similarly, on mobile devices, consumers can choose Android if they want to be able to sideload app stores and iOS if they want a more controlled experience. This diversity of approaches in tech seems to be working out for consumers, developers, and platforms, given the proliferation of these devices in recent years. According to estimates from PPI’s Michael Mandel, as of August 2020 the United States had 2.52 million App Economy jobs.
Apple pursues a highly integrated approach — they build the hardware, they build the operating system, they build the app store, they build the payments system, and they build many of the basic apps users need to get value out of their phones. Google — and many others — pursue a highly modular approach. Google developed Android, an open source operating system, but it doesn’t sell many phones (in 2019, Google sold 7.2 million Pixel phones; there were 1.5 billion smartphones sold worldwide). There are tradeoffs between the modular approach and the integrated approach. The modular approach can often deliver lower costs because vendors can mix and match different commodified components into a final product.
Senator Amy Klobuchar, the incoming chair of the U.S. Senate Judiciary Committee’s Antitrust Subcommittee, just released a draft of the Competition and Antitrust Law Enforcement Reform Act of 2021, which includes a slew of antitrust-related initiatives.
In comments on this new legislation, Alec Stapp, director of technology policy at the Progressive Policy Institute, said:
“Senator Klobuchar’s proposed antitrust legislation includes many urgently needed provisions to ensure the federal government is safeguarding competition in every sector of the economy. According to one recent analysis, appropriations for our two federal antitrust agencies have fallen by 18% since 2010. Antitrust enforcers desperately need more resources to police anticompetitive conduct across the economy and bring cases when necessary. Antitrust cases are notoriously expensive and require high-level legal talent — this is not an area the government should be skimping on.”
“The package also includes new transparency and data collection requirements that would be hugely beneficial for better understanding the state of competition and antitrust enforcement in the U.S. Proposed competition studies on institutional investors’ cross-ownership and the role of monopsony power in labor markets are long overdue. Furthermore, a series of Congressional hearings focused on monopoly power in various sectors of the economy, including healthcare and agriculture, would help shed light on the size and scope of the problem we face. Lastly, a requirement for parties to a merger settlement to provide post-merger data is a common-sense idea that would allow enforcers to learn from past decisions and update their analytical methods for future cases.”
“While there is much to like in this batch of proposals, there is also much reason for caution. While certainly not perfect, the current set of antitrust institutions is much improved from what prevailed from the early 20th century until the 1970s, when almost every merger was presumed illegal and most behavior by large firms was inherently suspect. Under the current standard, enforcers need to show evidence of market power, anticompetitive conduct, and consumer harm. The problem with the proposed bill is that it would drastically lower the bar for antitrust liability and might inadvertently criminalize pro-competitive conduct. A prohibition on “conduct that materially disadvantages competitors” would essentially degrade antitrust law to a “know it when you see it” standard for anticompetitive conduct. In reality, lots of corporate conduct is ambiguous at first glance. Enforcers need to do the work of economic analysis and fact-finding to determine whether it’s pro-competitive or anti-competitive. We shouldn’t short circuit that process.”
If you would like to speak to Alec Stapp you can reach him at astapp@ppionline.org or (480) 628-3863.
Twitter permanently banned Trump. Facebook suspended his account for at least two weeks. Apple and Google pulled the Parler app from their app stores. Amazon booted Parler off AWS. Stripe stopped processing payments for the Trump campaign’s website.
These decisions, among others, have sparked a renewed debate over the power that Big Tech companies have in society, and whether we need to revisit Section 230, net neutrality, or the Fairness Doctrine. Currently, the public discussion is dominated by loud voices making extreme, and often incorrect, claims. In my opinion, these voices are only grappling with the surface-level issues related to tech platforms and speech, which I address in the first seven questions. The final three questions are much harder to answer and require thinking on the margin about what our society values and what tradeoffs we are willing to make. If we focus our time and attention on these latter questions, we can hope to make real progress over time.
1. Is Big Tech more powerful than the government?
Austen Allred, the founder and CEO of Lambda School, tweeted, “Twitter, Facebook, Apple and Google, especially when acting in concert, are much more powerful than the government.” This claim doesn’t hold up to any level of scrutiny. The government has the power to tax you, imprison you, and kill you; the tech companies can delete your free account. Some conservatives have even argued the government should “nationalize Facebook and Twitter to preserve free speech,” the mere possibility of which should tell you who’s more powerful.
You cannot create an “alternative” to Google, Apple, Facebook, Amazon, and Twitter at this point, they are collectively more powerful than most if not all nation states
Journalist Michael Tracey said that Big Tech is “more powerful than most if not all nation states”, which seems absurd considering nine nation states have nuclear weapons. He also claimed that you “cannot create an ‘alternative’ … at this point” which is directly contradicted by the fact that TikTok went from zero to nearly a billion users in just the last few years.
2. Has President Trump been silenced by Twitter and Facebook?
Trump has been permanently banned from Twitter and suspended from Facebook for at least two weeks. Obviously, his ability to speak directly to his audiences on those platforms has been greatly diminished. But that doesn’t mean he has been silenced or censored. A recent Reuters article asked “How will Trump get his message out without social media?” In short: The same way that every president did prior to 2008. What communications and media networks existed back then? Newspapers, magazines, broadcast TV, cable TV, radio, podcasts, email, text messages, and the open web.
Twitter is not real life. As economist Adam Ozimek said, “Only 22% of adults use Twitter. In contrast almost every house has a TV. The idea that there is some monopoly over access to the public here is really not compelling. Maybe you spend too much time on Twitter if you think that.” Furthermore, only about 10% of Americans are daily active users of Twitter. So that means if you check Twitter at least once a day, then you’re more “online” than 90% of Americans. Active Twitter users likely overrate its importance in the average person’s life relative to newspapers, talk radio, broadcast TV, and cable TV.
It’s also important to remember that Trump’s words haven’t been banned from the platform, only his personal accounts. If the president gives a public speech, or if the White House issues a press release, thousands of journalists will still cover and broadcast his words, in tweets and Facebook posts of their own. For example, on Wednesday, the White House released a statement from Trump urging “NO violence, NO lawbreaking, and NO vandalism of any kind.” The statement was immediately shared on Twitter by reporters and sent out via text message to the Trump Campaign’s subscribers.
Twitter and Facebook suspending Trump’s account is significant, there is no denying that. But the president of the United States can still communicate with the public.
3. Is deplatforming extremists a civil rights issue?
Some conservatives have tried to argue that if liberals think a baker should be required to bake a cake for a gay wedding, then Amazon should be required to provide cloud hosting for Parler and Twitter shouldn’t be allowed to ban Trump. However, these cases are not similar. The case of the baker and the gay wedding was controversial because it involved the collision of two protected characteristics: religious beliefs (of the baker) and sexual orientation (the gay couple).
The conservative movement is about to face a level of collective discrimination by the institutions of our society not seen since Jim Crow
In the cases of Parler and Trump, they were not deplatformed for belonging to a protected class or because of an immutable characteristic — they were deplatformed for inciting violence and insurrection. Repeated antisocial behavior is a perfectly legitimate basis for a platform to remove a user (or for a company to cease doing business with a counterparty). The question is not “should Amazon be allowed to discriminate against conservatives” but actually “should Amazon be required to do business with groups hell-bent on breaking the law.”
No one believes that every user should be allowed on every platform. Not even Parler allows users to post whatever they want:
[Parler’s] community guidelines warn users to avoid spam, blackmail, bribery, plagiarism, support for terrorist organizations, spreading false rumors, suggesting people should die, describing “sexual organs or activity,” showing “female nipples,” and using language or visuals “that are offensive and offer no literary, artistic, political, or scientific value.” Parler also advises users against “any other speech federally illegal in USA,” which the platform incorrectly claims includes doxing and “content glorifying violence against animals.”
That’s why appeals to slippery slope-type arguments are so unpersuasive in this debate. Every platform draws the line somewhere, and that line might move over time as public opinion shifts and as new information arises about what is and isn’t working under the prevailing content moderation policy. We don’t need to protest Facebook’s decision to ban Paul Joseph Watson, Laura Loomer, Alex Jones, and Milo Yiannopoulos by comparing it to what African Americans experienced in the Deep South during Jim Crow, as Will Chamberlain did in this 2019 article for Human Events. These are not civil rights issues — these are questions about what kinds of behavior particular platforms are willing to allow in their communities.
4. Would repealing Section 230 prevent Big Tech from deplatforming users they disagree with?
There continues to be lots of misinformation regarding Section 230 of the Communications Decency Act. Many Republican elected officials and conservative activists argue that recent events show why we need to repeal Section 230, which provides platforms and other interactive computer services immunity for the content users post. This argument relies on an intentional misrepresentation of the statute and the relevant case law. Here is the key part of Section 230 — “the 26 words that created the internet”, as Jeff Kosseff put it:
No provider or user of an interactive computer service shall be treated as the publisher or speaker of any information provided by another information content provider.
Prior to Section 230, if a platform tried to moderate content (say by taking down hate speech or incitements to violence), then the platform owner became liable for all the content that remained on the platform. This created perverse incentives. Platform owners basically faced two choices: (1) Engage in zero moderation to retain immunity — and watch the platform get overrun by Nazis or (2) Engage in maximum moderation to avoid getting sued for libel or other harmful content. Section 230 fixed this incentive problem by granting immunity to platform providers for users’ speech, thus enabling the platforms to engage in reasonable levels of content moderation.
Twitter may ban me for this but I willingly accept that fate: Your decision to permanently ban President Trump is a serious mistake.
The Ayatollah can tweet, but Trump can’t. Says a lot about the people who run Twitter.
Repealing Section 230 would do nothing to alleviate concerns about bias or censorship. As Senator Ron Wyden, one of the authors of Section 230, said, “I remind my colleagues that it is the First Amendment, not Section 230, that protects hate speech, and misinformation and lies, on- and offline. Pretending that repealing one law will solve our country’s problems is a fantasy.” All repealing Section 230 would do is force platforms back into the “all or nothing” choice on moderation. And because advertisers will not advertise on a platform filled with Nazis and pornography, it wouldn’t really be a choice at all. It’s likely the platforms would become much more aggressive in how they moderate content (if they continue to allow users to post at all). In other words, without Section 230, Trump would have been banned from Twitter years ago.
5. Is Twitter consistently enforcing its terms of service?
Whenever Twitter deplatforms a prominent right-wing figure, conservatives and others concerned with censorship accuse the platform of being biased because it leaves up similarly violent or misleading information from authoritarian rulers in Iran and China. FCC Chairman Ajit Pai called out a few tweets from Ayatollah Khamenei, the Supreme Leader of Iran, last May:
More recently, a tweet from the Chinese Embassy in the US tried to paint the ongoing Uyghur genocide in a positive light by saying it was furthering women’s empowerment: “Study shows that in the process of eradicating extremism, the minds of Uygur women in Xinjiang were emancipated and gender equality and reproductive health were promoted, making them no longer baby-making machines. They are more confident and independent.” Twitter initially refused to take down the tweet after Ars Technica reporter Tim Lee reached out to ask why it didn’t violate Twitter’s policies. Only after many others publicly shamed Twitter for its decision did the company finally relent and remove the tweet.
Those who say Twitter has enforced its policies inconsistently are right. But that doesn’t mean Twitter should leave Trump and other extremists alone. Arguing “worse people have gotten away with it” is like saying we shouldn’t arrest a murderer because some serial killers are still roaming free. Twitter should also ban dictators from using its platform and more quickly remove content that promotes or condones violence against anyone or any group of people.
6. Does Europe repress speech less than the US now?
There is also renewed debate about whether there should be one unified internet, or whether a splinternet is a better approach, with each nation governing its own internet.
Time to start a debate in Europe on whether we want to stay tightly connected to a US internet where repression of speech will keep growing
While a further splintering of the internet seems almost inevitable at this point, it would be strange if Europe splits apart over concerns about repression of speech in the US, as Bruno Maçães speculated. The EU has many current (or proposed) laws that repress speech much more than in the US, including:
That’s to say nothing of how the US compares to authoritarian countries such as Russia or China. As Garry Kasparov said, censorship in the USSR is “when the state attacks a company for offending an official … not the other way around.” Or as Jameel Jaffer put it, “forcing publishers to publish the government’s speech is what happens in China.”
7. Can private companies violate your First Amendment rights?
Any debate over a high-profile user getting banned from a social media platform quickly devolves into the two sides talking past each other. Those critical of the decision to ban a user say that it’s a violation of that person’s free speech or First Amendment rights. The other side immediately latches on to the First Amendment part of that claim, pointing out (correctly) that the First Amendment restrains the government from infringing on ability to speak, not private companies or individuals. Since it’s so short, let’s just look directly at the text to make sure we’re all on the same page (emphasis added):
Congress shall make no law respecting an establishment of religion, or prohibiting the free exercise thereof; or abridging the freedom of speech, or of the press; or the right of the people peaceably to assemble, and to petition the Government for a redress of grievances.
Clearly, the First Amendment was not meant to abridge the rights of private entities and citizens. But “free speech” is a much broader concept than what’s written in the Bill of Rights. That’s one of the harder questions.
8. How much should private companies restrict free speech and free expression?
In everyday use, “freedom of speech” means the ability for someone to express their views or opinions without fear of retaliation (beyond verbal criticism). In other words, it means that people can speak their mind without fear of a disproportionate response. That doesn’t mean those restraints on speech are bad! As a society we make tradeoffs all the time between different values depending on the context. It just means that “free speech” as a concept is not limited to the First Amendment.
Some conservatives and libertarians think that by pointing out that private companies have First Amendment rights too, that’s the end of the conversation, when in reality it’s only the beginning of the conversation. We must admit that these tech platforms are powerful and the decisions they make affect billions of people worldwide. It is legitimate to raise concerns about who gets to be on and off the platform (even while recognizing the companies themselves are under cross-pressures, with conservatives arguing for a more hands-off approach and liberals arguing for more aggressive moderation).
To start answering the tougher questions, we first need to move past the false dichotomy of the individual and the state. As Noah Smith wrote in his own post about Big Tech and free speech, “Between the government and individual citizens lie a variety of mezzanine authorities who have real power, and whose actions can lead to a real loss of liberty.” Noah continued by citing one his previous pieces (emphasis added):
An ideal libertarian society would leave the vast majority of people feeling profoundly constrained in many ways. This is because the freedom of the individual can be curtailed not only by the government, but by a large variety of intermediate powers like work bosses, neighborhood associations, self-organized ethnic movements, organized religions, tough violent men, or social conventions…whom I call “local bullies.”…
In a perfect libertarian world, it is therefore possible for rich people to buy all the beaches and charge admission fees to whomever they want (or simply ban anyone they choose). In a libertarian world, a self-organized cartel of white people can, under certain conditions, get together and effectively prohibit black people from being able to go out to dinner in their own city. In a libertarian world, a corporate boss can use the threat of unemployment to force you into accepting unsafe working conditions. In other words, the local bullies are free to revoke the freedoms of individuals, using methods more subtle than overt violent coercion.
Such a world wouldn’t feel incredibly free to the people in it.
That’s why merely citing the First Amendment rights of private companies in these cases can leave people feeling hollow. And it’s why we need to thoroughly examine the market power in each layer of the tech stack to decide which layers should have both the responsibility and the ability to moderate content.
The answer here is that there is no clear answer: The decision to ban or not ban accounts or types of speech is inherently political and it’s wrapped up in the profit-maximization desires of the relevant companies. There is no clear rule you can write that will cover every case and there will be backlash no matter what decision these companies make. The existence of the public debate is what constrains platforms. On one side, groups concerned with freedom of expression will limit the platforms’ willingness to moderate. On the other side, those concerned with the negative externalities of certain speech will push platforms to be more heavy handed with their moderation. It is in these debates that societies can determine the level of moderation that is appropriate.
9. Which layer of the tech stack should have the responsibility for moderating content?
Here’s a framework for thinking about these issues: How much capital investment and time does it take to construct or find an alternative vendor, especially given government regulation? How close to the end users on social media platforms are these services? You can think of the tech stack in roughly three layers:
The top layer is the social media apps and websites themselves (e.g., Facebook, Twitter, Parler, etc.);
The middle layer is intermediaries or aggregators of apps and websites (e.g., app stores, browsers, search engines, etc.);
The bottom layer is infrastructure providers (e.g., cloud providers, content delivery networks, the Domain Name System, internet service providers, utilities, payments, etc.).
On the top layer, it is relatively easy for a company to create its own app or website. Scaling these platforms to take advantage of network effects can be difficult, but it’s by no means impossible (see TikTok, Discord, Telegram, Signal, Snapchat, etc.).
In the middle layer, Google and Apple have a virtual duopoly (99% market share) in the smartphone operating system market, which makes their decisions regarding the default app stores on Android and iOS devices very important. But while securing distribution in the two major app stores can be hugely beneficial, it’s not necessary for adoption. Users can navigate directly to a website in a browser and Progressive Web Apps are bringing more and more functionality to web apps that was previously limited to only native apps. Companies can also have their users sideload another app store on Android devices, like Epic Games did for Fortnite. Hypothetically, if Chrome were to block users from accessing websites like Parler at the browser level, then that would be worrisome, as Chrome controls 63% of the browser market (while still noting that users can download alternative browsers such as Firefox or Brave).
On the bottom layer, one troubling story is what an internet service provider did in rural Idaho: YourT1Wifi.com, an internet service provider based in Priest River, Idaho, decided to block access to Twitter and Facebook after some of its customers complained about the platforms banning President Trump. That’s why large ISPs have committed themselves to net neutrality principles that would require no blocking, and why we need net neutrality legislation that would require no blocking without going through Title II at the FCC. It’s also why it’s good news that Elon Musk’s Starlink, a satellite broadband service, is already in public beta.
The bottom layer includes services that would be harder for social media platforms to replicate on their own: utilities (e.g., electricity, natural gas, water, sewage, telephone), internet service providers (ISPs), content delivery networks (CDNs), the Domain Name System (DNS), credit card companies (Visa and MasterCard), cloud providers (e.g., AWS, Azure, Google Cloud) and other payment systems (e.g., Stripe, PayPal, etc.). It would be very hard for a business to lay its own internet fiber, build its own electrical grid, or create an alternative to the Domain Name System. Utilities are especially powerful because they have a lot of local market power (often they’re a de facto monopoly in a community). By contrast, payment processors and cloud providers compete in global markets that are highly competitive, giving companies alternative options if they’re banned by one service provider. Generally speaking, we should be more wary of imposing liability on this layer of the tech stack for what users post on social media. Instead, policy should hew towards neutrality (with exceptions for illegal activity).
10. When should we require neutrality?
Following the framework detailed above, Apple and Google banning Parler from their app stores is a bigger deal than Facebook and Twitter banning Trump from their platforms. And what occurred in the infrastructure layer (i.e., AWS banning Parler and Stripe banning the Trump Campaign) is a bigger deal than what the app stores did. That means we should closely examine the AWS and Stripe cases to make sure these are indeed competitive markets.
First, AWS does not have a monopoly on cloud services (it has a 32% market share). Gab, a free speech social media platform with zero censorship and lots of Nazis, and PornHub, a website that needs no explanation, both operate without relying on the Google and Apple app stores or AWS for cloud services. Parler put itself in this situation by relying on a risk-averse mainstream cloud provider when there were numerous other options for hosting (including self-hosting). (The latest news is the Parler is now switching over to Epik, the cloud provider that hosts Gab). The same is true for Stripe, which only has an 18% market share. While the payment processor is part of the infrastructure layer, there are dozens of other competitors in the market that are available to the Trump Campaign. If these companies in the infrastructure layer had been monopolies, policymakers should have stepped in to enforce a neutrality standard.
Twitter & FB ban accounts. “It’s not censorship, you can create your own app.”
Then Google & Apple ban apps. “It’s not censorship, create your own website.”
Then Amazon bans web hosting. “It’s not censorship, create your own…”
David Sacks, an entrepreneur and venture capitalist, expressed a common sentiment among those displeased with the recent bans by Big Tech: If individuals or apps get banned at every layer of the tech stack — from consumer-facing apps down to infrastructure services — then there is no recourse for those who have been deplatformed. But that’s not actually true. If a user gets banned from Facebook or Twitter, there are numerous alt-tech social media platforms they can join. And after Parler was banned from the Google Play Store and the Apple App Store, it could still be accessed directly from a browser on the open web (or downloaded from a sideloaded app store on Android devices).
As David Ulevitch, a venture capitalist at Andreessen Horowitz, pointed out, even AWS doesn’t “hold the keys to the internet.” There are dozens of other cloud providers, and many companies still self-host using their own servers on-premise (traditional on-prem spending exceeded cloud spending until just last year). While it might be preferable for infrastructure companies to remain neutral (and they might welcome a law taking the decision off their hands), in competitive segments of the infrastructure layer we shouldn’t be too worried about companies exercising their right to not do business with reckless social media platforms.
Conclusion
Somewhat overlooked in this whole debate is that it’s not just Big Tech that’s turned on Trump and his supporters. Virtually all of corporate America has decided enough is enough. The Wall Street Journal is collecting an ongoing list of corporations that have paused PAC donations to politicians. It’s up to more than 50 corporations and includes every household name you can think of, from AT&T to Boeing to Walmart. The most common targets of corporate ire are Trump and the Republican members of Congress that objected to the certification of the Electoral College. The House of Representatives just voted to impeach the president for a second time. Maybe this whole debate is missing the forest for the trees — maybe it’s about way more than Big Tech?
It’s also worth caveating that much of the foregoing analysis will look very different depending on whether law enforcement and national security agencies have been in direct contact with the tech companies regarding imminent threats of violence. If that’s the case, then I think many of the tech platforms decisions look different (save for the decisions to ban Trump). In that context, they wouldn’t be exercising their own discretion over what speech should or should not be allowed on their platforms so much as responding to an implicit or explicit government order. Given the lack of publicly available information right now, we can’t know for sure what the government did or did not tell the tech companies.
At the end of the day, these are complicated issues. Here are the bottom-line takeaways:
Social media apps and websites can survive without depending on Big Tech (many alt-tech sites already do).
Trump may be banned from Facebook and Twitter, but he’s still the president of the United States and he has not been silenced.
Banning right-wing extremists or those who incite violence is not a slippery slope toward an Orwellian dystopia, and it’s certainly not a civil rights issue.
No, Big Tech is not more powerful than the government; the government can tax you, imprison you, and kill you.
A private company can’t violate your First Amendment rights, but it can restrict your ability to speak freely.
Repealing Section 230 would not solve any of these issues; nationalizing the companies in question would cause even more problems.
Twitter should ban both Trump and the Supreme Leader of Iran from its platform (and CCP propaganda).
This is not about just Big Tech — most large corporations no longer want to be associated with Trump, Parler, or the Republicans who objected to the certification of the Electoral College.
Despite all this, the US still values free speech more than any other country in the world.
President-Elect Biden ran on a commitment to be a President for all Americans, not just those who voted for him. To make good on that promise, he and his team will need to find opportunities for common ground and constructive compromise as they build their agenda for the first 100 days. One issue they would be smart to prioritize: Getting every American connected to broadband.
The COVID-19 pandemic, and the failed experiment in distance learning it forced upon our nations’ schools, have underscored the urgent need to close our digital divide. Unlike many other issues, broadband policy offers real promise for bipartisan consensus because it cuts across traditional red-blue and urban-rural lines. Infrastructure deployment gaps are found primarily in rural and tribal areas. Broadband adoption rates are lowest among low-income households and in communities of color. Plus, common sense consumer protections like net neutrality rules and consumer privacy safeguards enjoy overwhelming bipartisan support.
In a comprehensive broadband bill, there would be something for everyone to get behind.
The Biden administration has an opportunity to make historic progress expanding broadband access and accelerating adoption. And Biden will find bipartisan partners in these goals, so long as the Administration resists activist demands for the dead-end path of government micromanagement and instead focuses on targeted spending, smart reforms, and dynamic public-private partnerships.
The incoming Administration needs a radically pragmatic agenda that builds on the progress already being made, while accelerating efforts to close the most difficult and persistent gaps that remain.
Here are some ideas for where they should start:
Protect Consumers Online
Pass a Permanent Net Neutrality Law. To pass a broadband agenda that prepares us for the future, we first need to stop getting bogged down in dead-end fights from the past. For the last two decades, different versions of net neutrality have bounced between Congress, the Federal Communications Commission, the courts, and most recently the states, but the issue remains unresolved. While alarmist predictions about the imminent demise of “the internet as we know it” have proven unfounded, consumers and innovators all deserve the clarity and certainty of permanent net neutrality protections. The core principles – no blocking, no throttling, no paid prioritization – enjoy almost universal bipartisan support. President Biden and Congress should come together to pass clear, permanent net neutrality protections – while steering clear of the entirely unrelated (and much more controversial) idea of regulating the internet as a public utility under 1930s “common carrier” rules.
Protect Consumer Privacy. American voters overwhelmingly prefer a federal privacy law to a patchwork of inconsistent, contradictory state laws. The new Administration should work with Congress to pass a comprehensive new set of privacy protections that apply consistently to every company that collects or uses consumer data. Sensitive data – such as health, financial, or location information – demands a higher level of protection, and the Federal Trade Commission and state Attorneys General need clear authority to police and punish data privacy violations.
Connect Rural America
Make Historic Investments in Broadband Infrastructure. Joe Biden’s campaign platform called for investing $20 billion in rural broadband. This funding is urgently needed. While nearly $2 trillion in private investment over the past 25 years have built networks that reach 95% of American communities, market forces alone won’t be sufficient to attract private investment to get last-mile network infrastructure to every home in some remaining unserved pockets where low populations and difficult terrain make for much higher per-home deployment costs. A smart strategy won’t look to replace private funding, but will instead leverage even greater private investment by matching capable providers with project-based assistance on a transparent, competitive basis. Republicans will fight Biden on any number of spending priorities, but rural broadband programs may be an exception, since much of the funding would flow toward rural, Republican-held districts and states.
Set Clear Priorities. The Biden Administration will be keen to avoid the mis-steps of earlier federal broadband initiatives, such as the Commerce Department’s Broadband Technology Opportunities Program, which squandered millions in 2009 Recovery Act funding building duplicative broadband networks in communities that already had high-speed fiber infrastructure. This time around, federal funding must be targeted to truly unserved areas – those where high-speed broadband isn’t yet available. We can’t ask Americans living in broadband deserts to wait even longer while taxpayer funds get diverted to subsidize networks in areas that already have high-speed service.
Let Every Technology – and Every Capable Provider – Compete for Funds. Many federal broadband programs are hamstrung by outdated, dial-up era eligibility rules that actively discourage many capable providers from participating. With less competition for federal funds, progress is slowed and taxpayer dollars don’t stretch as far. Bipartisan bills introduced earlier this year in both the House and Senate proposed to scrap these obsolete, anti-competitive Eligible Telecommunication Carrier restrictions; the incoming Administration should embrace these bipartisan reforms. Federal broadband programs should set clear thresholds for speed and latency – and then allow every capable provider and every kind of broadband technology (fiber, cable, fixed wireless, etc.) that can meet these standards to apply and compete for funding.
Demand Real Accountability. Government watchdogs have documented how mismanagement and poor oversight undermined earlier federal rural broadband programs. For example, the USDA’s Rural Utility Service promised in 2011 that its $3.5 billion in stimulus funding would connect 7 million homes – but ended up connecting only a few hundred thousand. “We are left with a program that spent $3 billion, and we really don’t know what became of it,” concluded the GAO. We need much stronger oversight this time: every provider applying for federal funding must commit to connecting a specific number of homes by a certain date – and should be forced to return the funding if they fail to meet these commitments.
Accelerate Broadband Adoption
Understand the Challenge. While broadband service is available in 95% of U.S. neighborhoods, only 73% of American households subscribe to home broadband. This “adoption gap” is rooted in a complex set of underlying factors, exacerbated by digital literacy gaps and a lack of understanding in some quarters of the opportunities opened up by home broadband service. In fact, 60% of Americans who don’t have home broadband cite a lack of interest or need as their primary reason for not signing up, while fewer than 20% cite affordability as the main obstacle. Sen. Ed Markey (D-MA) introduced legislation earlier this year aimed at helping us better understand the barriers to broadband adoption, by authorizing new experiments and pilot programs and gathering more data on the challenge. The Biden Administration should embrace that proposal as a starting point, and recognize that broadband adoption is a complex and nuanced challenge.
Build on Models that Work. Most major broadband providers have offered low-cost broadband programs for years to eligible low-income customers. For example, the largest of these programs (Comcast’s Internet Essentials) has connected roughly 8 million low-income Americans since 2011, offering home broadband for just under $10 per month. These initiatives offer important lessons that need to be internalized into federal broadband adoption efforts – most critically, the importance of wrapping discounts or subsidies with comprehensive digital literacy training and comprehensive community outreach programs. The shortest path toward boosting broadband adoption is to build on top of models that are working – not tearing them down and starting from scratch.
Subsidize Low-Income Broadband Adoption.Broadband providers’ low-income adoption initiatives have brought home broadband service to millions of low-income families nationwide. Modernizing low-income FCC programs to support standalone fixed broadband service – and ensuring the program is open to every capable provider meeting defined speed thresholds – would further help vulnerable families, ensuring that every American can afford home broadband service. Democrats in Congress fought to include a $3 billion Emergency Broadband Benefit in the COVID-19 relief package passed in December, which will offer a subsidy of up to $50 per month help low-income and unemployed Americans stay connected during this pandemic. This is a welcome short-term solution, but Congress must remember that broadband adoption challenges will persist long after the COVID-19 emergency has subsided.
As of November 2020, employment in Maryland was down more than 4 percent compared to a year earlier. Small businesses are suffering. Nevertheless, the state’s revenues for the 2021 fiscal year are coming in better than expected in spring 2020, buoyed by federal stimulus and continued employment of white collar workers.
Under the circumstances, enacting a new tax that would be especially harmful to small businesses seems like a mistake. However, in spring 2020 Maryland state legislators approved a new tax on annual gross revenues derived from digital advertising services in Maryland, with the proceeds to be devoted to education. The bill, which broadly covered “advertisement services on a digital interface,” was vetoed in May 2020 by Governor Larry Hogan, with the veto potentially in line to be overridden by the state legislature in the session that began mid- January 2021.
In this paper we will explore the economics of digital advertising and the economics of a digital advertising services tax, with special attention to Maryland. We make four main points:
The price of digital advertising has fallen by 42 percent since 2010 across the United States. This decline has fueled a sharp reduction in ad spending as a share of GDP.
Our calculations suggest that the falling price of digital advertising is saving Maryland businesses and residents an estimated $1.2 billion to $2 billion per year, based on the size of the state’s economy.
Passing the digital advertising services tax is likely to reduce the cost benefits of digitaladvertising to Maryland businesses and residents. In particular, the tax will drive up the price of help-wanted ads in Maryland, making it harder to connect unemployed Maryland residents with local jobs. In addition, employers will rely less on public ads and more on personal connections with friends and family, disadvantaging less- connected groups such as minorities and immigrants.
Raising money for education is a worthwhile goal. But the appropriate source of funds are broad-based taxes such as sales tax or an income tax, rather than a narrow and distortionary tax on one small but vital segment of the economy. In addition, moving to a combined corporate income tax framework could help reduce income shifting and increase tax revenues.
THE ECONOMICS OF DIGITAL ADVERTISING
Before discussing the particulars of the Maryland digital advertising tax, we’ll consider the broader economics of digital advertising. Prior to the widespread use of the Internet, the legacy media–newspapers and local television and radio stations– had a near-stranglehold on local advertising. Newspapers, especially, used that market power to raise advertising rates, because local retailers and other businesses had no other good alternatives if they wanted to reach nearby consumers. According to data from the Bureau of Labor Statistics, the average price of newspaper advertising tripled between 1980 and 2000, rising far faster than the overall consumer price level (which doubled over the same period).1
As a result, businesses had to pay increasingly large sums for consumer-oriented advertising in the pre-Internet days. For retailers, restaurants and other local businesses who wanted to reach new customers, there were few viable alternatives.
Equally important, local employers had to shell out for “help-wanted” ads in newspapers in order to find good workers. Newspapers could and did jack up the price of these employment ads because businesses—especially small businesses—had no other way to reach potential employees before the era of digital advertising.
When we look back to the era before digital advertising, it is stunning how newspapers used help-wanted advertising as a high-priced cash cow. Consider, for example, the price of help-wanted ads in the Washington Post before the widespread use of digital advertising. In 1980 the Washington Post charged potential employers $1.98 for a single line in an employmentclassified ad, placed a single time in a dailyedition.
By 1990 the price of that same single line in a Washington Post help-wanted ad had risen to $6.70, a 240 percent increase. The price increases continued for the next decade, with the price of a line in a help-wanted ad rising to $11.06 by 2000, another 65 percent gain, far exceeding the 34 percent increase of the consumer price index over the same period.2
These ads were expensive—running just one five-line help wanted ad for just one week in 2000 would cost around $85, without volume discounts and including the more expensive Sunday edition. Small businesses who did not have their own HR departments, especially, had no other choice except to pay big bucks to the newspapers in order to hire.
Employers got huge price relief as the Internet became more important. Rather than being forced to run high-priced ads in newspapers, they could shift their help-wanted ads to online portals such as Craigslist, Monster.com and Indeed.com, which were both much cheaper and much easier for jobseekers to search. For comparison, today a Craigslist job posting in the DC area—which gives employers a full paragraph to work rather than just five lines–costs $45 for 30 days (Baltimore is priced at $35 per ad).3
Since 2010, the overall price of digital advertising has fallen by 42 percent, according to the BLS. (That figure excludes print publishers such as newspapers.). By comparison, the price of newspaper advertising, both print and digital, is down by only 7 percent since 2010.
This drop in price for digital advertising has been a tremendous boon for businesses, especially small businesses like restaurants and retailers, who used to have a limited set of options for consumer advertising. Businesses of all typesnow find it much cheaper and easier to post help wanted ads and find qualified help.
On a macro level, businesses and consumersare benefiting from the lower cost of digitaladvertising. In 2019, advertising amounted to about 1 percent of gross domestic product (GDP). That’s down from 1.5 percent in 2000, and an average of about 1.3 percent in the 1991-2000 period.4
In other words, the shift to digital advertising has lowered ad spending by about 0.3-0.5 percent of GDP. This is money that goes directly into the pockets of businesses and consumers.
What about Maryland? According to the Bureau of Economic Analysis (BEA), Maryland’s state GDP was roughly $400 billion in 2019.5 Applyingnational figures, that suggests digital advertisingis saving Maryland businesses and consumers about $1.2-2.0 billion per year.
IMPACT OF DIGITAL ADVERTISING TAX
Keeping in mind the lower price of digital advertising, what economic impacts would we expect from the proposed digital advertising services tax? H.B. 732 proposed a new tax on the annual gross revenues derived from digital advertising services in Maryland. The tax rate would vary from 2.5 percent to 10 percent of the annual gross revenues derived from digital advertising services in Maryland, depending on a taxpayer’s global annual gross revenues. To be required to pay the tax, a taxpayer must have at least $100 million of global annual gross revenues and at least $1 million of annual gross revenues derived from digital advertising services in Maryland.
Note that this is a tax on gross receipts, a type of state tax that has been judged by economists as intrinsically problematic.6 Gross receipt taxes are exceptionally sensitive to market structure, since the tax can be theoretically applied at each stage of the advertising production and sales process, which could lead to double (or multiple) taxation. In this case, the Maryland tax authorities will have to determine the “real” seller of the digital advertisements, which in many cases is not obvious.
Note also that the legislation does not actually specify what it means for digital advertising services to be “in Maryland.” That task is left up to the state’s Comptroller. But it seems clear that at a time when users are increasingly concerned about privacy, the legislation will effectively force advertisers to identify the location of people who view or click on digital ads. That is a move in the wrong direction, and might even violate the laws of some states or countries where the digital advertising companies are headquartered.
Because the digital advertising services tax, as proposed, is a tax on gross receipts rather than income, it has the potential to badly hurt profit margins. Consider Yelp, for example, the well-known company whose mission is to connect consumers with local businesses. As reported in Yelp’s 2019 annual report, the company has global revenues of $1 billion, virtually all fromdigital advertising, and an after-tax profit marginof 4 percent. Since Maryland accounts for 2 percent of U.S. GDP, that suggests Yelp’s Maryland revenues are $20 million, well over the threshold for applying the 10 percent tax rate in the proposed legislation.
The implication is that the proposed digital advertising services tax could turn Yelp’s Maryland business into a money-losing proposition. That’s insane. Yelp’s only options would be to either withdraw from the Maryland market or significantly raise its advertising prices (which would be difficult to do in a competitive market).
Whether digital advertising companies raise their rates or withdraw from Maryland, it would be bad news for local businesses trying to recover from the pandemic recession, and bad news for consumers who would just be crawling out of their pandemic-induced depression. Using digital advertising, owners are able to reach customers, showcase products, even confirm they are still open. Raising the price of digital advertising and reducing its availability could help slow those recovery efforts.
Or consider the impact of the proposed tax on “help wanted” postings. Since these ads have to identify a location of the job, it will be easy to connect the receipts to Maryland. Clearly what will happen is that Craigslist and other job sites will likely put a surcharge on Maryland- based help-wanted ads to account for the digital advertising services tax. The implication is that advertising for a job in Maryland will be more expensive than it was prior to the tax. That may even put Maryland employers at a disadvantage in attracting talented workers.
At the margin, Maryland employers will reduce their purchases of digital help-wanted advertising. In that way, the introduction of a digital advertising services tax will slow down the rate of hiring in the state.
The other likely effect is that employers will rely more on personal networks such as friends and family to fill positions, rather than advertising on the open internet. This is bad news for groups that are less well-connected, such as low-income workers, minorities and immigrants.
THE NEED TO RAISE REVENUE
Some people argue that taxing advertising to pay for education is a good trade-off for society. After all, the benefits of education are undeniable, while advertising is annoying to many people.
But advertising does have the virtue of allowing consumers to uncover cheaper and better goods and services, and aiding jobseekers in finding better employment opportunities. Recent economic research has actually looked at the plusses and minuses of taxing or fining advertising and transferring the proceeds to low-income workers.7 Calibrating the model using real world numbers, they found that the “advertising equilibrium modeled is surprisingly close to being efficient.” The implication, at least from the initial research, is that taxing digital advertising doesn’t gain much.
What are the alternative sources of revenue for education in Maryland? There is now the possibility of additional state support packages from the federal government in 2021. And in terms of taxes, without delving deeply into details, economists believe that the best taxes are broad and non-distortionary. That would argue in favor of increasing the top tier of the Maryland income tax, now set at 5.75 percent for taxable income over $250,000, especially since many high-income individuals have done well during the pandemic recession. Such an increase would raise revenues without imposing large deadweight losses on the state economy.
On the corporate income side, one possibility is for Maryland to shift to a system of “combined filing” for state corporate income tax. That would treat a parent company and its subsidiaries as one entity for state income tax purposes, according to the Center for Budget and Policy Priorities, “thereby helping prevent income shifting” and potentially raising money.8
By comparison, a tax on digital advertising would dampen the ability of Maryland businesses to reach out to customers precisely at the time when it is needed—coming out of the pandemic recession. Small Maryland businesses trying to regain their customers need as much access to digital advertising as possible. Putting a tax on digital advertising is like taxing the future—and that’s never a good idea.
The Covid Recession has accentuated labor market inequality, with some professions and occupations doing as well or better than before the pandemic hit. Employment in business and financial jobs, for example, is up 7 percent in the third quarter of 2020 compared to a year ago. Transportation and material moving jobs are up as well, aided by gains in ecommerce. Meanwhile personal care and service jobs are down 42 percent, and food preparation and service jobs are down 25 percent.
Repairing the employment damage done by the pandemic will require a fiscal stimulus package from the federal government. The money will be needed to restart the consumer spending engine, which in turn will revive demand for workers. But it won’t be enough to simply boost federal spending and hope that job growth lifts everyone. We also have to make sure that we are creating new jobs with a future—jobs that are lifted by the winds of technological change rather than dashed by them. Many Americans felt dissatisfied with their job prospects, even during the low unemployment rates of the pre-pandemic days. Real wages were hardly rising, and the old career ladders of the past seemed to have disappeared for many types of jobs.
In this paper we outline six ideas for harnessing technology to create good jobs with a future—not just for college graduates, but for everyone. These are all proposals that could garner support from both Democrats and Republicans. The terrible tragedy of the pandemic is also an opportunity to reset the labor market, and envision a world where individual workers can build on their growing experience, knowledge, and skills make them more productive and earn them higher pay.
IDEA #1: FOSTERING 5G-RELATED JOBS
Policy: Accelerate the creation of 5G-related jobs by implementing policies prioritizing allocation of new spectrum and deployment of small cells.
Objective: Generate 300,000 new5G-related jobs annually for both high- skill and mid-skill workers, while boosting productivity growth in physical industries.
A recent paper from the Progressive Policy Institute and the National Spectrum Consortium demonstrated that every major advance in mobile communications has brought a new wave of job creation. For example, the smartphone revolution, later super-charged by 4G cellular technology, helped create over 2 million App Economy jobs in the United States alone.
That paper projects that the nationwide application of 5G—what we called the “Third Wave”—will create an average of 300,000 jobs per year over the next 15 years, or 4.6 million jobs in total. These will include such jobs as telehealth installers, construction drone operators, agriculture sensor technicians, autonomous vehicle maintenance, and military tactical communications specialist.
We anticipate that the 5G revolution may be animportant force propelling the U.S. labor market out of the Covid recession. Remember that the recovery from the 2008-2009 recession was spurred in part by the introduction of the iPhone in July 2007, which in turn led to the App Store in 2008 and an explosion of App developers in the United States and around the world. The adoption of 4G LTE by mobile providers such as AT&T and Verizon helped accelerate the communications-driven rebound.
The same thing can happen this time, as a wide range of industries apply 5G technologies to become more productive and reach new markets. Our research focused on eight key use cases: agriculture, construction, utilities, manufacturing, transportation and warehousing, education, healthcare, and government. In all of these, 5G can be leveraged to create new jobs to replace the ones that were destroyed by the pandemic.
To encourage this 5G-related job growth, we should support allocation of new spectrum for 5G while speeding deployment of small cells. First, the Federal Communications Commission (FCC) haslaid out a good road map for increasing availability and usefulness of high-band, mid-band, low-band, and unlicensed spectrum. Telecom policy should balance raising money via spectrum auctions while not making spectrum too expensive.
Second, high-bandwidth applications of 5G require the deployment of many “small cells” to get the full benefit of the new technology. Each “small cell” is basically a box containing antennae and electronics, attached to a buildingor a utility pole, and connected to a largernetwork via fiber or some other means.
These small cells are subject to state and local approval procedures that can slow down deployment and make it much harder to extend the reach of 5G. The FCC has promulgated rules that emphasize the importance of 5G infrastructure, including establishing deadlines or “shot clocks” for state and local approval. These rules, which were mostly upheld by an August 2020 court decision, should be retained and expanded.
Policy: President-elect Biden has laid out a plan to boost manufacturing. But whether or not that plan gets support in Congress, the federal government should adopt policies to support the adoption of digital manufacturing technology by small and medium domestic manufacturers. Objective: To boost the competitiveness and flexibility of domestic manufacturing and create new factory jobs across the United States.
For years, economists advised us not to worry about the decline in manufacturing jobs. What mattered, it was said, was rising manufacturing output and productivity. Yet it turns out that the loss of jobs was an indication of a deeper malaise in domestic manufacturing. The business cycle that started with the 2007 peak and ended with the 2019 pre-pandemic peak was perhaps the worst business cycle for manufacturing in recent history. Over this stretch, manufacturing productivity gains were dismal. 12 out of 19 major manufacturing industries had lower output in 2019 compared to 2007. The non-oil goods trade deficit grew by 60% to record levels, showing the gap between what we produce and what we need. To avoid a repeat of this disaster, and to create new manufacturing jobs for the 21st century, we have to adopt a portfolio of strategies for rebuilding America’s production economy. Joe Biden has a plan for boosting U.S. manufacturing. Key elements that we support include his proposals for bringing back critical supply chains to America, boosting worker training, increasing R&D investment, building up the Manufacturing Extension Partnership, and providing capital for small and medium manufacturers. But we would go further. First, we would advocate setting up a National Resilience Council which would be tasked with identifying those industries and capabilities that are strategic, in the sense of improving the ability of the economy to deal with shocks like pandemics, wars, and climate changes. These areas are likely to be underinvested by private sector companies, who quite naturally don’t have an incentive to tackle these sorts of large-scale risks. For example, no single company has an incentive to invest in improving N95 mask technology so that it is easier to scale up production, but the U.S. government does. Or to harken back to an important historic example, the Defense Department’s original motivation for funding the research that led to packet switching and the Internet was to create a decentralized network that would be more survivable in case of nuclear attack. The National Resilience Council should sponsor a Manufacturing Regulatory Improvement Commission, along the lines that PPI has suggested in the past. We have no desire to roll back essential environmental and occupational health regulations. But we do want to consider
whether rules governing manufacturing have become so restrictive as to unnecessarily force out jobs.
Second, we need to put more emphasis on digital manufacturing, where the United States seems to be falling behind. The government can shore up the nation’s supplier base by providing $200 million in low-cost loans and grants to help small and medium manufacturers test and adopt new production technologies, including digital advances such as robotics and additive manufacturing. Even in a low-interest rate environment, capital is relatively scarce for companies that are too small to tap the bond market. A somewhat similar initiative to provide loan guarantees for investment in innovative manufacturing technologies, authorized under the America COMPETES Act and supervised by the Commerce Department, never got off the ground because of excessively restrictive terms. Under our proposal, the loans and grants to small and medium companies would be tied to improving the resilience of the domestic manufacturing base. Third, the federal government should take the lead to create a common “language” so that product designers, manufacturers, and suppliers can more easily work together online, just like DARPA helped create the basic structure of the Internet in the late 1960s. In the same way that a young person can write an app, put it online, and find users around the world, it should be possible to create a design for a new product and easily find potential local manufacturers. Note that this effort is linked to the first idea in this package, the support for 5G-related jobs. The key here is connectivity. Twenty-five years ago the rise of the Internet connected computers and made all sorts of new businesses possible, creating millions of jobs. Now it’s time to make even the smallest factory in Ohio or Michigan part of a larger manufacturing network that can compete on a level playing field with larger foreign competitors. Some manufacturing networks or “platforms,” with names like Xometry and Fictiv, are already starting to sprout. Such platforms can make it easier for buyers to find domestic suppliers who have the necessary capabilities, and then to shift producers quickly when shocks hit or when it becomes necessary to lower carbon emissions. Such platforms can also give manufacturing startups access to immediate markets, make it easier for entrepreneurs to create well-paying factory jobs. But this transformation of manufacturing is not happening fast enough to help American workers. A resilient manufacturing recovery requires the fostering of flexible, local, distributed manufacturing—relatively small efficient factories that are spread around the country, using new technology, knitted together by manufacturing platforms that digitally route orders to the nearest or best supplier. The government has an important role to play leading the way to the Internet of Goods.
For more on rebuilding digital manufacturing jobs, read Michael Mandel, Spur Digital Manufacturing in America, Progressive Policy Institute, August 2020 and Michael Mandel, “The Rise of the Internet of Goods,” Progressive Policy Institute and MAPI Foundation, August 2018.
IDEA #3: REDUCE INEQUALITY BY BUILDING ECOMMERCE-MANUFACTURING HUBS
Policy: Help Americans who lose their jobs in brick-and-mortar retail find better-paying work in ecommerce and distributed manufacturing. Objective: Transition away from dead-end jobs in retail while reducing unnecessary shipping.
During the pre-pandemic economic boom, ecommerce was a potent source of well-paying jobs for low-income workers. From February 2018 to February 2020, the ecommerce sector—comprised of electronic shopping, warehousing (fulfillment) and couriers and messengers (delivery)— added 212,000 full-time-equivalent (FTE) positions for production and non-supervisory workers. By comparison, brick-and-mortar retail lost 8,000 FTE positions for production and non-supervisory workers (which
for brevity we’ll call “production-level” workers). The same trends held up during the pandemic as well, when expanded hiring by the ecommerce sector has helped compensate for the contraction of brick-and-mortar retail. From August 2019 to August 2020, the total number of hours worked by production-level workers in ecommerce and brick-and-mortar retail fell by only 0.4 percent. Brick-and-mortar retail hours were 2.2 percent lower in August 2020 compared to a year earlier, but hours worked in
ecommerce industries were 8.3 percent higher. What’s more, average pay is considerably higher in the ecommerce sector compared to brick- and-mortar retail. In February 2020, hourly pay for production-level workers in the ecommerce sector averaged 12 percent higher than in brick-and mortar retail. Weekly pay averaged 40 percent higher in ecommerce, because most brick-and-mortar retail employees don’t work full weeks.
Indeed, key ecommerce fulfillment occupations such as “laborers and material movers” and “hand packers and packagers” get substantially higher pay in the warehousing (fulfillment) industry than they do either in retail or manufacturing. As Table 3 shows, laborers and material movers—which make up about half the workforce of the warehousing industry—get paid $16.19 an hour, not including annual bonuses, in warehousing. That’s 23% than comparable workers in retail and 11% more than comparable workers in the private sector overall. And warehousing even pays laborers and material movers roughly the same as comparable workers in manufacturing, long held up as the gold standard for pay for blue-collar workers. But more is needed. As part of the effort to rebuild the production economy (idea #2), federal policy should support distributed manufacturing establishments co-locating with ecommerce fulfillment centers in order to create new hubs for goods production and distribution. This will create more competition for workers in these areas, and boost wages. The goal is to create a new manufacturing ecosystem, built around distribution centers. Equally important, co-locating manufacturing with ecommerce fulfilllment will reduce shipping costs, which is pro-competitiveness, pro-
consumer, and pro-environment. The cost of distribution makes up roughly half the retail price of many consumer items, according to Bureau of Economic Analysis figures. Locating manufacturing near distribution facilities will lower shipping costs, reduce turnaround time, and put fewer trucks on the road.
Policy: Change tax rules and use improved technology to get independent or “gig” workers better access to benefits. Objective: Improve outcomes for independent workers and put them on a level playing field with employees in terms of retirement, health, and other benefits.
Coming out of the Covid Recession, businesses are going to be cautious about hiring permanent workers. Instead, they will prefer to take on independent workers at the beginning because of the flexibility. In order to accelerate the recovery, we want to make it easier for companies and platforms to give opportunities to independent workers. But we also want to rebuild the tax and labor laws to give independent workers equal access to benefits, which are so important for retirement, health, and other aspects of economic life. In a 2020 paper, we pointed out that the tax code is biased against benefits for independent workers. Most independent workers have to pay FICA taxes on the money they contribute to their tax-deferred Individual Retirement Accounts (IRA), Simplified Employee Pensions (SEP) or solo 401k accounts. By comparison, the contribution of employers to employee retirement accounts is exempt from both employer and employee FICA taxes. The same is true for contributions to healthcare and other benefits as well. This additional tax burden on independent workers can be worth thousands of dollars. In addition, it is very difficult by law for companies to provide benefits to independent workers without being forced to reclassify them as employees. These two regulatory issues alone explain why independent workers have trouble getting the benefits that they need. We propose putting independent workers on a level playing field with employees in terms of benefits. That means changing the tax rules so that independent workers, like employers, no longer have to pay FICA taxes on qualifying contributions to retirement and healthcare benefits. (Note that the loss of tax revenue is the same, in principle, as would be incurred by forcing companies to hire independent contractors as employees). The other key is to require a baseline level of benefits and protections for independent workers, including a cafeteria-style plan. Because of technological improvements, it is feasible for these benefit plans to be administered by third party providers, so that they would be portable. We also suggest a uniform national standard for determining who is an independent worker. For example, one possibility is that companies would have minimal control over hours of work, and no non-compete agreements. Here’s how it would work. Companies would pay a certain share of the worker’s earnings into a dedicated account for pre-tax benefits. There would be no required match from the beneficiary. The independent contractor would accrue benefits in proportion to the amount of money
he or she earned on the platform. A separate and important question is whether the new regulatory regime would be opt-in or mandatory. We lean towards opt-in given the wide variety of independent contractor arrangements that exist (e.g., doctors, realtors, etc.). If companies do not opt in, they would remain subject to existing legal tests for determining worker classification. If a company opts-in to this alternative classification — which we call “gig workers with benefits” — then once a worker reached a certain number of hours contracting with them, that worker would be entitled to a required set of tax-advantaged benefits — for example, portable benefits including paid leave, retirement savings accounts and contributions towards an individual’s health insurance premiums. All workers also should be covered by occupational accident insurance for on-the-job injuries. On the other hand, companies that opt-in to this new regulatory framework would be required to give workers the freedom to choose their hours as well as work for other companies in the same industry. In effect, this would give employers minimal control over hours or non-compete agreements. Companies would be required to choose, on a year by year basis, whether they apply this new category of worker to their independent contractors. Companies are incentivized to opt-in because the benefits independent workers receive under this model are tax-advantaged. On the margin, independent workers will choose to work with companies that offer these benefits because they are worth more than pure cash compensation (which is subject to payroll and income taxes). This choice would allow companies to offer benefits to independent contractors without worrying that they would be reclassified as employees at either the state or federal level, while preserving the flexibility and independence that are synonymous with independent contractor status. And independent contractors would be on equal footing with the tax-advantaged employees.
IDEA #5: SUBSIDIZING WORK AND CAREERS FOR THE DISADVANTAGED
Proposal: Use tax policy to get disadvantaged workers into jobs faster. Objective: Get unemployed workers back into the labor market as soon as possible where they can start getting training for the future.
Even when the pandemic starts to ebb and the economy begins to rebound in earnest, employers will still be reluctant to risk hiring. One big issue is how to encourage them to take a chance on adding new workers, especially ones in disadvantaged categories that have been hit especially hard by the Covid Recession. Rather than start a new program, however, we can turn to an existing one that can be fine-tuned a bit for the current crisis. The Work Opportunity Tax Credit (WOTC)–originally passed in 1996 and reauthorized several times on a temporary basis since then–gives a tax credit to employers who want to hire workers out of 10 disadvantaged groups, including qualified veterans, qualified recipients of SNAP (supplemental nutrition assistance program), qualified long-term unemployment recipients, and qualified residents of empowerment zones, among others. In fiscal year 2019, about 2 million workers were certified eligible for the WOTC by state employment agencies. Under current law, the typical maximum tax credit is $2,400 for most of the qualified groups. The tax credit is due to expire at the end of 2020. In 2019, legislation to make WOTC permanent was introduced in both the House and Senate with bipartisan support, including Senator Sherrod Brown (D-OH). The key question: Is extending the WOTC a good way to accelerate post-Covid hiring, and do any changes need to be made? In a 2019 report, the nonpartisan Tax Foundation reviewed the available research, and summarized the pros and cons of the WOTC: The WOTC appears to have had at least a modest, but noticeable, positive impact on the short-term employment outcomes of disadvantaged groups. Moreover, the WOTC has accomplished this at a cost in line with other job tax credits and significantly lower than that of direct job programs. However, there is currently no evidence that the WOTC positively affects long-term employment outcomes for these groups. The WOTC also seems to suffer from large inframarginal effects, subsidizing firms for hiring workers that they would have already hired. Another plus for the WOTC: Because it is targeted to the disadvantaged and unemployed, it gives more bang for the buck than a payroll tax cut, which covers many workers who are already employed. On the minus side, the WOTC in its current form has proven to be difficult to administer by overworked state agencies. In addition to the 2 million certified claims in FY 2019, there were another 2 million claims that were listed as still pending.
One way to simplify the WOTC is to temporarily broaden it to all workers who are currently receiving jobless benefits, in addition to the long-term unemployed who were already covered. This has the advantage of being far easier for state agencies to administrate, since presumably they know who they are sending money to and who they aren’t. That means small businesses will be more likely to take advantage of the tax credit than they are now. At the margin, this broader credit is likely to be a potent supercharger for hiring workers who lost their jobs because of the Covid Recession. Employers will greatly accelerate their hiring plans in order to take advantage of the credit. In addition, by raising demand for workers, the benefits will spill over into higher wages. Obviously the cost of such a program will rise in proportion to its success. The more people are pulled off the jobless benefit rolls into jobs, the more expensive the tax credit will be. But because the tax credit is per person, the people who are most likely to be helped are the ones on the margin who will have their entry into the labor force greatly accelerated. How does WOTC compared to other approaches to accelerating job creation, such as payroll tax cuts, wage subsidies, and broad macro spending? The payroll tax cut is easier and faster to implement, because it doesn’t require certification. On the other hand, it strikes directly at the funding of Social Security and Medicare, which makes it more worrisome for progressives. Broad macro spending—say, on infrastructure—has the advantage of adding long-term capital improvements to the economy, and for that reason is an important part of any recovery plan from the Covid recession. However, an infrastructure program is much more expensive per job created than WOTC is.
IDEA #6: BUILDING CAREER LADDERS FOR LOW-INCOME WORKERS
Policy: Federal funding of post-Covid apprenticeship and training programs should encourage the use of digital credential systems. Objective: Widespread use of interoperable digital credential systems, independent of formal degrees, can create sustainable career ladders that rewards the skills and experience of low-income workers.
Credentials like education or formal certificates are important, especially in a time of economic volatility. Observable credentials that are not tied to a single employer can help the earnings of workers rise as they get more experience, whether they stay at the same business or are forced to switch employers. Observable credentials also mean that worker incomes don’t fall all the way to entry-level pay when they lose their jobs. It goes without saying that high-income workers have access to credentials through the formal educational system. But more is needed for the rest of the population. As PPI has noted in a 2020 report, greatly expanding the number of formal apprenticeship programs and boosting funding for career education is essential for improving outcomes for low-skilled and medium skilled workers. U.S. lawmakers should create strong incentives for intermediaries (private or public) to organize apprenticeship training and placement and market them to employers. There are thousands of private firms and non-profits that are well positioned to supply purpose-trained talent to their clients. Many are already providing services to dozens or hundreds of clients in sectors facing talent shortages, notably technology or healthcare. The intermediaries incur the training expense and get paid only when they succeed in placing their apprentices in full-time jobs. In so doing, they can create frictionless pathways to good first jobs. Washington spend hundreds of billions each year on supporting college education. As a simple matter of equity, Washington should invest a roughly equal amount to expand access to high-quality career education and training for young workers who need post-secondary credentials. But it’s important to note that apprenticeship and career education programs don’t cover many Americans who have been traumatized by the Covid Recession. Workers in retail, restaurants, hotels, and other hospitality industries have no formal credential structure to provide a floor when things get tough. Their former employer knows their value, but that employer may not be re-opening its doors even after the Covid Recession is over. This lack of observable credentials for low-income workers is a long-term problem. Low-income workers tend to have very short tenures at individual employers. According to pre-pandemic data from the Bureau of Labor Statistics, the five lowest paid occupations have a median tenure with the same employer of only 3.1 years. Lower paid occupations have much more churn, and fewer opportunities to get formal credentials that demonstrate tangible skills and capabilities that can be carried over from job to job, especially since employers are in fluctuation as well. At the same time, employers are also hurt by the lack of credentials for low-income workers. Small businesses, especially, want to hire workers with good “soft skills”—punctuality, hard work, ability to take initiative, get along with others. It would be easier to hire and pay such workers if there was a way of tracking their competencies and skills across employers. At the same time, workers will be more willing to invest in developing such competencies if future employers could see them. This is an especially important issue coming out of the Covid Recession. If accumulated skills and experience doesn’t get tracked for the millions of people with a high school education or less who lost their jobs, then they will have a hard time regaining their place in the workforce. They go back to the bottom of the queue. Without career ladders, the less skilled are exposed in the case of major turmoil in the economy. Powered by advances in technology, there have been great efforts in recent years to develop such flexible credentialing systems. For example, the U.S Chamber of Commerce Foundation helped set up an innovation network with more than 400 organizations, with the goal of enabling job seekers “to display the breadth of their experience in a single, comprehensive learning record.” Companies like Badgr and Credly are building online systems for tracking worker achievements. Such “micro-credentialling” systems show what economists call positive externalities: They are more valuable for worker and employers the more widely they are used. For example, Millbrae, CA-Based Merit International has developed a system that it calls the “only interoperable ecosystem for all digital credentials, memberships, and opportunities from trusted organizations.” Merit currently works with over 1,000 public and private sector organizations, including state government agencies, to standardize and centralize digital records for professional licenses and qualifications. In particular, Merit’s platform hosts digital credentials known as “merits.” Merits can be defined by the issuing organization, but can correspond to anything from workforce skills to recognition of soft skills such as punctuality and initiative. Because these soft skills now
can be verified by future employers, they raise future wages and the speed of being rehired. These merits then become the building blocks of a career path that leads to higher wages and better jobs, even in the middle of labor market turmoil. A platform like Merit’s can also increase the value of both formal training programs and on the job training by creating a record of accomplishments that can be accessed by future employers. Moreover, these employers can see which types of training have a bigger payoff in terms of workplace productivity. It should be clear that the economics of micro-credentialing depends on relatively cheap data processing, and a system that protects both privacy and security. The other issue, of course, is getting a critical mass of employers and governments to adopt an interoperable standard. That’s where the Covid Recession comes in. As the U.S. emerges from the pandemic, federal and state governments are likely to be funding large-scale training and reemployment efforts across the country. This is a unique opportunity to accelerate the adoption of micro-credentialing at relatively low cost by tying it to training funds. Institutions and companies that provide training should also be required to connect with a micro-credentialing system, preferably a broad-based one. The goal would be to jumpstart a system of tracking competencies and skills that helps everyone, not just the workers at the top and the largest companies. New technologies enable us to create jobs with a future, and micro-credentials are part of that.