How AI is expanding what people do at work

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OpenAI has published new workforce research examining how ChatGPT is changing what workers actually do on the job. The headline finding is that AI tools are expanding worker scope rather than narrowing it: users reach into tasks that would traditionally belong to other roles or require different specialists — a marketer writing code, a developer drafting policy summaries, an analyst building financial models. This challenges the dominant AI-and-jobs narrative, which centers on automation displacing individual tasks. Instead, OpenAI's research points toward role expansion: job boundaries are becoming more permeable for workers who actively use AI tools. That is a distinct, and arguably more optimistic, framing of AI's effect on labor. The published content is a brief one-sentence research summary with no specific data, methodology, industry breakdown, or cohort size visible. The full paper or expanded blog post may contain richer quantitative findings. Readers should treat this as a headline claim pending those details. For enterprise leaders, the practical implication is that AI adoption may require rethinking job descriptions and team structures, not just deploying tools for efficiency — AI may be enabling cross-functional work at the individual contributor level.