
Will the AI boom continue? Forecasting the trajectory of the AI industry
We asked experts and superforecasters to predict the value of semiconductor and software stock indicies, investment in data centers, and revenue growth at OpenAI and Anthropic.
Using the science of forecasting to improve decision-making on high-stake issues
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We asked experts and superforecasters to predict the value of semiconductor and software stock indicies, investment in data centers, and revenue growth at OpenAI and Anthropic.

We ran a forecasting study to understand experts' views on the effectiveness of Anthropic's deployment standards at mitigating biosecurity risks.

In Wave 10 of LEAP, forecasters share their predictions on the potential benefits from AI, including fewer deaths, longer life spans, and more wealth. Plus, we explore how much people value AI.

Results from a 2025 pilot study investigating the impact of AI capabilities on near-term cybersecurity risk.

New results from the ForecastBench leaderboard suggest the gap between frontier AI and elite human forecasters is closing.

A brief exploration of using quick questions to assess forecaster accuracy.

In Wave 9 of LEAP, we gathered forecasts about catastrophic risk from AI, major harm events, democratic backsliding, cybercrime, and asked when a major government will restrict an AI model release.

What we learned from using LLMs to score the reasoning behind 55,000+ forecasts.

In Wave 8 of the Longitudinal Expert AI Panel we asked panelists to forecast AI's overall impact on human society, AGI timelines, near-term progress on METR's time horizon benchmark, and more.

In Wave 7 of the Longitudinal Expert AI Panel, we asked for forecasts about robots in factories, hospitals, and our homes as well as the U.S. labor share and Amazon's sales per distribution employee.

We completed the most comprehensive study of how economists and AI experts think AI will affect the U.S. economy.