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AI superforecasters outperform Metaculus superforecasters before 01.01.2028

Made on 8/9/2026
Source Document
70%

Prior Probability

Initially, the base expectation for AI exceeding top human forecasters would have been lower due to the challenges involved in matching human intuition and expertise in forecasting domains. However, ongoing advancements in AI and trends from other domains support a reasonable expectation that AI could eventually outperform humans.

New Evidence

The provided document shows:

  1. Trend Analysis: As of mid-2026, AI bots on Metaculus are rapidly improving, although not yet surpassing top human forecasters. There are projections and future expectations that suggest a crossover by mid-2027.

  2. Performance Improvements: AI models like Gemini 3 Pro and GPT-5 have shown significant improvement, narrowing the performance gap with humans (e.g., decreasing head-to-head score differentials).

  3. Independent Benchmarks: Other independent assessments (ForecastBench) claim AI models are almost statistically indistinguishable from human superforecasters in some contexts.

  4. Ensemble and Hybrid Models: When AI predictions are combined through ensemble methods or augmented with human forecasts, the accuracy closely matches or exceeds human-only performance.

Likelihood Ratios

Given AI's rapid improvement trends, the likelihood that it will outperform humans continues to rise. Historical data and projections from credible sources like Metaculus suggest that AI is on track to meet or exceed these expectations by the target date.

Posterior Probability

Considering the strong trajectory of advancements and frequent performance improvements, the probability that AI superforecasters will outperform Metaculus superforecasters by January 2028 is substantial. Given current trends and data, a 70% probability reflects both the tangible progress of AI and the inherent uncertainties of future developments. This forecast accounts for the potential for unforeseen technological breakthroughs or impediments.

Overall, with continuous AI model enhancements and supportive empirical evidence, there is confidence in a favorable outcome by the specified resolution date.