A recent Wall Street Journal survey of 16 prominent economists, including Nobel laureate Daron Acemoglu, highlighted significant disagreement on how artificial intelligence will affect the labor market. While 15 of the economists concurred that AI will substantially increase labor productivity, their views diverged sharply on its net impact on jobs. Eight economists anticipated no net change in employment, five predicted net job losses, and two foresee job growth.
Several economists offered their reasoning. Daron Acemoglu, who expects net job losses, referenced prior economic shocks like Chinese imports and robot adoption, noting their long-lasting displacement effects in concentrated labor markets. Justin Wolfers of the University of Michigan echoed this concern, describing AI as primarily impacting white-collar workers. Conversely, those anticipating no net change, like Jason Furman, argued that current evidence of AI's aggregate labor market impact is weak, with effects expected within five to ten years and heavily influenced by institutional responses.
Despite the differing opinions on job numbers, a near consensus emerged on AI's complementary role for workers, with eight economists believing AI will more likely complement than replace jobs, versus five who held the opposite view. However, there's a strong call for better data, as Erika McEntarfer, former BLS commissioner, noted that fewer than one in five U.S. firms currently use AI in any business function, suggesting its widespread labor market transformation is yet to occur. Stanford's Erik Brynjolfsson highlighted the disparity, where hundreds of billions are invested in AI deployment but less than 1% on understanding its economic transition.
Challenger, Gray & Christmas reported that AI was cited as the leading reason for job cuts for three consecutive months, accounting for 38,579 layoffs in May, or 40% of all announced cuts. This contrasts with the Bureau of Labor Statistics' report of 172,000 payroll additions in May. Research by the Stanford Digital Economy Lab indicates a 16% relative employment decline for young workers (ages 22-25) in AI-exposed sectors, amidst an overall graduate unemployment rate around 5.6%. Some economists, like Jed Kolko, suggest that companies might be using AI as a convenient excuse for layoffs or hiring freezes unrelated to the technology itself. The decline in entry-level hiring and the collapse of apprenticeship models were also raised as concerns, though some believe AI could compress learning curves for less-experienced workers.
