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    Home»Big Tech & AI»US ChatGPT Adoption Dominated by White-Collar Workflows in Writing and Coding, OpenAI Data Shows

    US ChatGPT Adoption Dominated by White-Collar Workflows in Writing and Coding, OpenAI Data Shows

    By Henry KanapiOctober 2, 20252 Mins Read
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    OpenAI’s enterprise usage report reveals where ChatGPT is actually making its mark inside American companies.

    In snippets of the report shared by Andreessen Horowitz partner Olivia Moore on X, the findings point squarely to white-collar workflows, with writing and programming dominating early adoption.

    The data comes from the first 90 days of ChatGPT Enterprise. It breaks down usage by department and industry, showing how organizations are deploying the tool at scale.

    Across departments, the largest slice of activity centered on text generation. In communications departments, half of all activity involves writing and text generation. Administrative teams leaned just as heavily, with 50% of their use tied to the same category.

    Computer programming is the other anchor. Engineering teams devoted 42% of their activity to programming. Analytics teams used ChatGPT for programming in 30% of their work, while IT teams logged 25%.

    Source: Olivia Moore/X

    Industry adoption mirrored the pattern. Information technology accounted for 27% of ChatGPT’s weekly active users in the US. Professional and technical services come in at number two, accounting for 17%.

    Manufacturing is the only traditional sector to break into double digits, accounting for 10% of adoption.

    Finance, healthcare, and government agencies trailed with single-digit shares.

    Source: Olivia Moore/X

    In May, Anthropic CEO Dario Amodei warned that the rapid advance and diffusion of AI would wipe out 50% of all entry-level white-collar jobs and push unemployment to 10-20% in the next one to five years. He said the bigger concern is what happens when the narrow capabilities of today’s AI are replaced by more general ones.

    “The technology is moving quickly. I’m worried about advancing the technology and diffusion of that technology through society, and that’s where I get to the one to five years. As with most things, when an exponential is moving very quickly, you can’t be sure. This could happen faster than I imagine, this could happen slower than I imagine, or something very different could happen.”

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