@rohanpaul_ai: Productivity gains from AI are not linear, they accelerate with depth of use. Workers who use advanced ChatGPT capabili…

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OpenAI的研究表明，AI的生产力提升并非线性，而是随着使用深度加速增长。重度用户（使用GPT-5 Thinking、Deep Research等高级功能的用户）每周节省的时间远超轻度用户，并且使用的AI积分是后者的8倍。

Productivity gains from AI are not linear, they accelerate with depth of use. Workers who use advanced ChatGPT capabilities like GPT-5 Thinking, Deep Research, and Image Generation, across multiple models and tools, report much bigger time savings. OpenAI's latest study shows that the group saving more than 10 hours per week is also using about 8x more AI credits than workers who report 0 hours saved. So the story is not “give everyone a chatbot and you get a small uniform boost.” The story is: the more intensely people integrate powerful AI features into their workflow, the more their time savings compound, and heavy users turn AI into a core work assistant rather than a casual helper. --- From OpenAI's "The state of enterprise AI" report. openai .com/index/the-state-of-enterprise-ai-2025-report/
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Cached at: 06/16/26, 05:40 PM

Productivity gains from AI are not linear, they accelerate with depth of use.

Workers who use advanced ChatGPT capabilities like GPT-5 Thinking, Deep Research, and Image Generation, across multiple models and tools, report much bigger time savings.

OpenAI’s latest study shows that the group saving more than 10 hours per week is also using about 8x more AI credits than workers who report 0 hours saved.

So the story is not “give everyone a chatbot and you get a small uniform boost.” The story is: the more intensely people integrate powerful AI features into their workflow, the more their time savings compound, and heavy users turn AI into a core work assistant rather than a casual helper.

From OpenAI’s “The state of enterprise AI” report.

openai .com/index/the-state-of-enterprise-ai-2025-report/

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