Let me be clear upfront — I’m pro-AI. The technology has enormous potential to lower costs, increase productivity, and raise real wages. And once combined with future advances in robotics, the gains will be especially important in physical industries such as manufacturing and construction, which have both seen negative productivity growth over the past decade.
I also acknowledge the need to stay alert for problems, and to regulate as necessary.
But one problem that doesn’t overly worry me is the prospect of a massive short-term “extinction event” of jobs. For example, Dario Amodei, CEO of Anthropic, a leading AI company, recently told Axios that “AI could wipe out half of all entry-level white-collar jobs — and spike unemployment to 10-20% in the next one to five years.”
I find such a negative employment scenario for either college grads or non-college workers highly unlikely. First, previous forecasts of technology-driven job collapses have turned out to be premature, often signaling future job gains instead. It doesn’t make sense to just focus on job destruction from innovation without considering job creation as well.
For example, the big ecommerce innovation was supposed to lead to a “retail apocalypse,” or a “retail meltdown,” eliminating millions of retail sales jobs and replacing them with fully automated websites.
In fact, retail turned out to be fundamentally a logistics business, and having a good website was only the beginning of the e-commerce transformation. As I showed in a prophetic 2017 paper, getting fulfillment and delivery right was much more difficult and important, requiring more investment and more people. So while the number of poorly-paid retail sales positions declined by 15-20%, better-paid jobs doing ecommerce fulfillment increased even faster. Employment in the consumer distribution sector — including brick-and-mortar retail, fulfillment, and local delivery — actually rose by 1 million jobs from 2017 to 2024.
Second, Amodei’s timeframe is far too short. The adoption of AI in business operations is likely to be costly and slow: Applications of AI to the existing workflow of a business will cut some costs by speeding up one step, while exposing other bottlenecks. It typically takes years to adopt a new technology across an entire business, and AI won’t be different.
In a pharma company, for example, speeding up the creation of marketing presentations using AI will do nothing to cut the cost and time of clinical trials. AI can help there as well — but it’s a much slower and painstaking process. Indeed, even if AI helps move us towards new treatments for conditions such as cancer and Alzheimer’s, the necessary lab research and clinical trials to validate the insights will themselves become job producers.
Third, and related, what Americans complain about the most is the cost of necessities, such as housing, food, transportation, child care, and elder care. High tariffs may also increase the emphasis on domestic manufacturing. AI has a powerful opportunity to modernize these sectors, boosting capacity and creating a new wave of AI-complementary jobs, including for workers without a college education.
Fourth, the educated employment market has been fed in recent years by a wave of Immigrants. Since 2019, fully one-third of the net new jobs for workers with a college degree or better went to foreign-born individuals. (That’s according to the published data from the BLS. However, adjusting for under-measurement of immigration in the post-pandemic period gives roughly the same percentage.) If that flow is choked off by Trump’s actions against foreign students and educated adult immigrants, we are more likely to end up with skilled labor shortages than surpluses.
There’s no denying that AI will have a big impact on the job market. But for most people, it could be good news rather than a job apocalypse.