Economists Reassess AI Job Disruption Risks: New Study Reveals Growing Concerns Over Automation's Impact by 2030

Economists have long been among the few professional groups skeptical of AI-driven job market doomsday predictions. Historically, they argued that technological disruption rarely eliminates entire industries—citing ATMs as an example that didn’t eradicate bank tellers. However, a sweeping new study by researchers from the Federal Reserve Bank of Chicago, the Forecasting Research Institute (FRI), and top universities suggests this consensus may be shifting.

The study, which surveyed 69 economists, 52 AI specialists, and 38 “superforecasters”—highly accurate analysts akin to Dune’s Mentats—found growing acknowledgment of AI’s potential to disrupt employment. While recognizing the possibility of extreme disruption, economists remain divided on its inevitability, underscoring that an AI-driven jobs apocalypse remains uncertain.

Key Findings: AI Progress and Employment Projections

The study defines two primary AI advancement scenarios:

• Moderate progress (47% probability by 2030): AI systems capable of operating semi-autonomous research labs, producing high-quality novels, and completing complex projects with oversight.
• Rapid progress (14% probability by 2030): AI systems that could complete years of research in days, generate Grammy/Pulitzer-caliber media, and operate with CEO-level agency.

Under the rapid progress scenario, economists project a 1.6% decline in U.S. labor force participation (LFP) over the next five years. The current LFP stands at 61.9%, but under rapid AI advancement, it could drop to 59.3% by 2030—the first time in over 50 years the rate falls below 60%.

Expert Perspectives on AI’s Economic Impact

“There’s enough conversation around this that we certainly should, as a country, be talking about what sorts of policies make sense in a world where the way employment and careers work now changes a lot in the next two to five years.”

Robert Seamans, New York University economist and study contributor

The study acknowledges that while economists are increasingly pessimistic about AI’s job market impact, there is no consensus on an impending dystopian future. Historical precedents, such as the pre-WWII era marked by severe economic inequality, show that market economies have weathered similar disruptions without total collapse.

The paper warns, however, that wealth inequality could exacerbate the challenges posed by AI-driven job displacement, adding another layer of complexity to the economic outlook.