Comprehensive Study Reveals Economists Expect Significant AI Progress But Modest Near-Term Economic Impact
Key Takeaways
- ▸Economists assign a 47% probability to a moderate AI progress scenario by 2030, where AI achieves semi-autonomous research capabilities and handles complex business tasks
- ▸Despite predicting significant AI advancement, economists expect key economic indicators to remain close to historical trends in the near term
- ▸Only a 14% chance is assigned to rapid AI progress that could significantly transform the economy, with major implications for GDP growth and labor market participation
Summary
The Forecasting Research Institute, in collaboration with the Federal Reserve Bank of Chicago, Yale School of Management, Stanford University, and the University of Pennsylvania, released a comprehensive study analyzing expert predictions on AI's economic impact. The survey polled 69 leading economists, 52 AI industry and policy experts, 38 superforecasters, and 401 members of the general public between October 2025 and February 2026.
The findings reveal a consensus among economists that AI will achieve significant technological progress by 2030, with a 61% combined probability assigned to either moderate or rapid progress scenarios. In the moderate scenario, AI could run semi-autonomous research labs, complete five-day coding tasks, produce high-quality novels, and manage complex business roles. However, despite these technological advances, economists predict key economic indicators—including U.S. GDP, total factor productivity, and labor force participation—will remain close to historical trends.
The study found only a 14% probability that rapid AI progress could materialize, potentially leading to major GDP growth increases and wealth inequality concerns, alongside significant decreases in labor force participation. Economists strongly support job retraining as a policy response, estimating it could increase labor force participation by 1 percentage point (roughly 2.76 million additional workers) in rapid-progress scenarios while providing a 0.2 percentage point boost to GDP growth.
- Job retraining policies are expected to provide measurable benefits, increasing labor force participation by up to 1 percentage point in rapid-progress scenarios
- There is notable disagreement between experts and the general public, with economists more optimistic about AI progress than the general population
Editorial Opinion
This comprehensive forecasting exercise provides valuable clarity on expert consensus regarding AI's economic trajectory, though the disconnect between predicted technological progress and expected economic impact is striking. The finding that economists anticipate significant AI capabilities by 2030 yet expect minimal disruption to economic trends suggests either measured technological adoption timelines or successful policy interventions. The emphasis on job retraining as a pragmatic policy solution reflects a nuanced view of AI's potential harms, though the relatively small predicted impact of such interventions (1 percentage point increase in labor force participation) may undersell the magnitude of disruption in rapid-progress scenarios.
