Productivity gains from AI are not linear, they accelerate with depth of use.
Rohan Paul Twitter · Rohan Paul (@rohanpaul_ai) · 2026-06-16
An OpenAI study finds that AI productivity gains are non-linear and accelerate as workers adopt advanced features like GPT-5 Thinking, Deep Research, and Image Generation across multiple tools and models.
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Topics: ai-productivityopenai-researchchatgptworkforce-impact
Claims
- AI-driven productivity gains are non-linear and accelerate with the depth and breadth of AI feature usage.
- Workers who use advanced ChatGPT capabilities — including GPT-5 Thinking, Deep Research, and Image Generation — report significantly larger time savings.
- Multi-model and multi-tool usage correlates with greater reported productivity improvements.
- OpenAI has published a study supporting these findings.
Key quotes
Productivity gains from AI are not linear, they accelerate with depth of use.