OpenAI releases Signals labor dataset tracking ChatGPT tasks across 165 work categories in 100 countries

What happened.OpenAI Economic Research published longitudinal labor datasets detailing real-world ChatGPT utilization patterns across standardized professional activities in nearly 100 countries.
Why it matters.Founders building vertical software agents gain empirical demand signals on which workflow activities demonstrate sustained user retention versus transient novelty. Integrating these task distributions helps engineering teams prioritize autonomous tool workflows where enterprise willingness to pay aligns with demonstrated daily usage.
The technical specifications:
- Dataset scope: The release maps enterprise and consumer usage from the first quarter of 2025 through the third quarter of 2026 across 165 Intermediate Work Activities.
- Task breakdown: Granular query distributions reveal concentrated activity in programming, software verification, technical curriculum design, and quantitative business modeling.
- Economic benchmarking: Researchers can correlate activity metrics with regional occupational employment statistics to observe how agent adoption transforms baseline white-collar workloads.
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