How Accurate Have AI Progress Forecasts Been So Far?
The Forecasting Research Institute reports that experts and superforecasters have significantly underestimated AI progress on benchmarks since mid-2022. While predictions regarding AI adoption and diffusion show mixed results with a tendency toward underestimation, there is insufficient evidence to evaluate forecasts on macro-scale economic impacts. The study notes that some areas, such as autonomous vehicle adoption, were overestimated, while others like data center growth appear to be on track.
- ▪Forecasters have dramatically underestimated AI progress on benchmarks in studies conducted by the Forecasting Research Institute.
- ▪The median expert forecast likely overestimated the widespread use of autonomous vehicles by the end of 2027.
- ▪There is currently not enough evidence to assess the accuracy of predictions regarding the macro-scale economic and societal impacts of AI.
- ▪The Longitudinal Expert AI Panel (LEAP) was launched in mid-2025 to gather monthly forecasts from leading experts and superforecasters.
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| Original publisher | Hacker News (AI / LLM) |
| Canonical URL | https://forecastingresearch.substack.com/p/ai-progress-forecasts-accuracy |
| Publication time | Sat, 26 Sep 2026 18:45:21 +0000 |
| Retrieval time | 2026-09-26T18:50:14.388Z |
| Last seen | 2026-09-26T18:50:14.388Z |
| Headline source | Publisher (no WeSearch rewrite) |
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| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
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| Cluster | 36hJnreBZ0rC · 1 stories |
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| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
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| Commercial reuse | May the content be reused commercially? | Not permitted |
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How Accurate Have AI Progress Forecasts Been So Far?We take an initial look at where median forecasts are (mostly) underestimating and (sometimes) overestimating AI progress, adoption, and impact.Forecasting Research InstituteSep 23, 2026213ShareThis is the first post in a short series on the accuracy of AI progress forecasts we’ve gathered at the Forecasting Research Institute (FRI). In the next post, we’ll explore how to improve the accuracy and relevance of AI forecasts in our studies going forward.This post was authored by Josh Rosenberg, Matt Reynolds, Nadja Flechner, and Zack Devlin-Foltz.1SummarySince mid-2022, FRI has collected forecasts on AI progress across many projects.
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