For years, economists have largely dismissed fears of artificial intelligence (AI) fundamentally disrupting the job market, attributing unemployment to broader economic factors and labeling AI-related layoffs as mere corporate scapegoating. However, a shift is underway: while widespread disruption hasn’t materialized yet, leading economists are increasingly acknowledging the potential for significant upheaval – and warning that policymakers are unprepared.
The Skepticism and Its Roots
Traditionally, economic analysis has viewed technological change through the lens of past revolutions. New technologies create jobs as fast as they destroy them, and unemployment is often tied to macroeconomic forces like interest rates. This view left little room for AI-driven job losses. Even when companies cited AI as the reason for layoffs, economists often suspected “AI-washing” – executives using the buzzword to deflect blame.
Emerging Acceptance of Future Disruption
Recent research suggests this stance is softening. While most economists don’t see AI radically altering the job landscape now, many are admitting the possibility of rapid change within the next decade or two. Daniel Rock, an economist at the University of Pennsylvania, put it plainly: “I don’t think A.I. has hit the labor market yet, but I think it’s coming.”
A new working paper surveyed economists about AI’s likely impact over the next 5 and 25 years. The consensus is that AI will moderately accelerate economic growth, but if the technology improves at an unexpectedly fast pace, the consequences could be drastic. The study’s authors anticipate faster growth alongside greater inequality and millions of lost jobs.
Policy Implications
The most critical point isn’t whether AI will disrupt the job market, but whether policymakers are ready for the possibility. The economists surveyed suggest they are not. The speed at which AI could reshape labor demands proactive policy, rather than reactive measures. The delay in acknowledging this threat is a major oversight.
“Economists are certainly taking A.I. seriously,” said Ezra Karger of the Federal Reserve Bank of Chicago.
This shift in economic thinking underscores a growing realization: AI’s potential impact is no longer a distant hypothetical. It’s a near-term risk that demands urgent attention.
The question now isn’t if AI will reshape the job market, but how quickly, and whether society will adapt before millions are left behind.
