Study finds AI experts underestimated progress on benchmarks and adoption
A new interim report from the Forecasting Research Institute (FRI) reveals that top AI experts, including professors, researchers, and economists, consistently underestimated recent advancements in AI capabilities. The study, based on data from the LEAP (Longitudinal Expert AI Panel), surveyed 339 specialists—such as 30 professors from top-20 institutions, 10 of the 200 most-cited AI authors,…
Key points
- FRI’s LEAP panel of 339 experts—including 30 top professors and 10 of the 200 most-cited AI researchers—underestimated AI progress on benchmarks like math and virology
- AI achieved gold at the International Mathematical Olympiad in 2025, five years ahead of expert forecasts and ten years ahead of superforecasters’ 2022 predictions
- Experts’ median ARR estimate for AI companies by 2026 was $20 billion, but FRI cites Anthropic’s $100B ARR in September 2026 as likely already exceeded
Not all forecasts were overly conservative. Biosecurity and virology experts’ predictions about AI-assisted lab tasks were closer to reality, though a small trial showed minimal impact from language models. Self-driving car forecasts were also revised downward, with experts’ 7.3% estimate for autonomous ride-hailing trips in 2027 contradicted by an LLM projection of 2.5%. FRI notes that forecasts on economic growth, employment, and AI harms remain unreliable. Meanwhile, respondents’ views on AI’s long-term significance have shifted upward, with the probability of it becoming a ‘technology of the century’ rising from 31% to 36% for experts and 28% to 35% for superforecasters over nine months. FRI plans to refine its methods, including tracking rapid-progress forecasters and comparing LLM projections with human predictions.
Top AI experts badly underestimated how fast the field is moving, study finds
The Decoder · 24 September 2026
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