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Researchers

Bryan Seegmiller

Assistant Professor of Finance, Kellogg School of Management
Signed the letter · Academia · United States

homepage · other

Assistant Professor of Finance at Northwestern University's Kellogg School of Management. Co-author of research measuring workers' exposure to technology and AI with natural language processing, including 'New Frontiers: The Origins and Content of New Work, 1940-2018', 'Artificial Intelligence and the Labor Market', and 'Technology and Labor Markets: Past, Present, and Future'. Signed the wemustactnow.ai open letter.

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

8 works in the co-authorship map · 274 citations across them

Sources

  1. Bryan Seegmiller - Kellogg School of Management (Assistant Professor of Finance)
  2. New Frontiers: The Origins and Content of New Work, 1940–2018
  3. Artificial Intelligence and the Labor Market
  4. Technology and Labor Markets: Past, Present, and Future; Evidence from Two Centuries of Innovation
  5. “Signed the wemustactnow.ai open letter” — source

In the network

4 co-authors on the map · PageRank #108 of 400 · bridge #70 of 400 · 2 steps from Erik Brynjolfsson · cluster: Labor markets and technology.

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

Documented positions

Will AI actually boost productivity and growth? unknown

No documented evidence reviewed yet.

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

Co-authored work finds that tasks more exposed to AI see reduced labor demand, offset in part by workers reallocating effort to other tasks; related historical work finds new job categories have counterbalanced task-displacing automation.

Evidence

  1. Artificial Intelligence and the Labor Market
  2. New Frontiers: The Origins and Content of New Work, 1940–2018

Why researchers disagree on this · Who else says what

Will AI widen inequality? leans agree

Co-authored studies document that technological change has raised demand for higher-education, higher-wage occupations and that new work since 1980 has concentrated in high-paid professional roles; these are historical patterns rather than an AI-specific forecast.

Evidence

  1. Technology and Labor Markets: Past, Present, and Future; Evidence from Two Centuries of Innovation
  2. New Frontiers: The Origins and Content of New Work, 1940–2018

Why researchers disagree on this · Who else says what

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

Dimitris Papanikolaou (5), Lawrence Schmidt (5), Anna Salomons (2), David Autor (2)

Co-authors on the map, by papers written together (4 of 4 shown).

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