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Researchers

Pamela Mishkin

Researcher; OpenAI affiliation on 'GPTs are GPTs'
Signed the letter · Academia · United States

other

Listed with an OpenAI affiliation as a co-author of 'GPTs are GPTs: Labor market impact potential of LLMs' (Science, 2024), with Tyna Eloundou, Sam Manning and Daniel Rock, which estimates the share of U.S. workers whose tasks are exposed to large language models. Also co-author of 'Winners and losers of generative AI: Early evidence of shifts in freelancer demand' and 'Extending GPTs Are GPTs to Firms'. Signed the wemustactnow.ai open letter.

AI-written Documented facts only, from the sources below.

10 works in the co-authorship map · 11,946 citations across them

Sources

  1. GPTs are GPTs: Labor market impact potential of LLMs - Science (author list with OpenAI affiliation)
  2. GPTs are GPTs - OpenAI (authors Eloundou, Mishkin, Rock, Manning)
  3. Winners and losers of generative AI: Early Evidence of Shifts in Freelancer Demand
  4. Extending “GPTs Are GPTs” to Firms
  5. “Signed the wemustactnow.ai open letter” — source

In the network

7 co-authors on the map · PageRank #91 of 400 · bridge #133 of 400 · 2 steps from Erik Brynjolfsson · cluster: AI safety and governance.

Measured on this map only, which grows out of the letter's signatories; what these numbers mean. See Pamela Mishkin on the map

Documented positions

Will AI actually boost productivity and growth? leans agree

Co-authored paper characterizes large language models as general-purpose technologies, estimating that about 80% of U.S. workers could see at least 10% of their tasks affected; it measures exposure and explicitly makes no adoption-timeline prediction.

Evidence

  1. GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models

Why researchers disagree on this · Who else says what

Will AI destroy more jobs than it creates? it's complicated

Co-authored study finds freelance demand for skills substitutable by generative AI, such as writing and translation, fell 20-50% relative to trend, while demand rose in complementary or unaffected skill clusters.

Evidence

  1. Winners and losers of generative AI: Early Evidence of Shifts in Freelancer Demand

Why researchers disagree on this · Who else says what

Will AI widen inequality? unknown

No documented evidence reviewed yet.

Should governments act on AI now? unknown

No documented evidence reviewed yet.

How fast will the impact arrive? unknown

No documented evidence reviewed yet.

Selected work

Writes with

Daniel Rock (3), Sam Manning (3), Sandhini Agarwal (3), Gretchen Krueger (2), Jack Clark (1), Maria del Rio-Chanona (1), Miles Brundage (1)

Co-authors on the map, by papers written together (7 of 7 shown).

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