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OpenAI’s new economic analysis

OpenAI said more than 500 million people actively use its AI tools, with ChatGPT handling over 2.5 billion messages per day, including 330 million in the US. The post cites examples such as teachers saving nearly six hours per week and Pennsylvania state workers saving 95 minutes per day, and announces a 12-month collaboration with Ronnie Chatterji, Jason Furman, and Michael Strain to study AI’s effects on productivity and labor markets. The key point: OpenAI discloses scale and a few productivity examples, but the post does not disclose a unified methodology, causal identification, or sector-level results.

Why it matters: HKR-H/K/R all land: the post adds fresh scale data and ties it to productivity and labor-market effects. The score stays at 78 because it mostly offers sample cases and a new collaboration; methods, causal identification, and sector-level results are not disclosed.

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