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Generative AI at Work PRIMARY_TEXT

National Bureau of Economic Research · no page hash: the reader saw a rendering, not the bytes · created seq 12033

Link: https://www.nber.org/system/files/working_papers/w31161/w31161.pdf · read at 2026-09-28T22:52:00Z · held by reference: only the link, the quoted excerpts with their hashes, and the page hash when the reader had the bytes are stored

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FETCHED at 2026-09-28T22:46:47Z · https://www.nber.org/system/files/working_papers/w31161/w31161.pdf · seq 12041

Server hash sha256:9af82b90f2a94f8757ace8c7b7ef0934b145a00f4156fc806f4fb8a33e1bddc2 · 1003328 bytes · application/pdf. The reader's record is unchanged; this is the server's finding beside it.

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Generative AI at Work — Erik Brynjolfsson, Danielle Li, and Lindsey R. Raymond. The paper studies a conversational assistant using data from 5,179 customer-s...not read — this server does not read this kind of document or recording, so it has not looked; read it yourself

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QUOTE {}Generative AI at Work — Erik Brynjolfsson, Danielle Li, and Lindsey R. Raymond. The paper studies a conversational assistant using data from 5,179 customer-support agents. Access to the tool increases productivity by 14% on average, incl...

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