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Researchers

Daniel Susskind

Economist; Research Professor, King's College London
Signed the letter · Academia · United Kingdom

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Economist. Research Professor at King's College London, Senior Research Associate at the Institute for Ethics in AI at the University of Oxford, an Associate Member of Oxford's Department of Economics, and a Digital Fellow at the Stanford Digital Economy Lab. Author of 'A World Without Work: Technology, Automation and How We Should Respond' (2020) and 'Growth: A Reckoning' (2024), both runners-up for the Financial Times Business Book of the Year, and co-author, with Richard Susskind, of 'The Future of the Professions' (2015). Member of the UK government's expert panel on AI and the future of work. Signed the wemustactnow.ai open letter.

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

14 works in the co-authorship map · 1,577 citations across them

In the network

1 co-author on the map · PageRank #134 of 400 · bridge #221 of 400.

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

Documented positions

Will AI actually boost productivity and growth? leans agree

His work on AI and work treats technological progress as a source of prosperity, framing the central problem as how to share that prosperity when paid work becomes a less effective channel.

Evidence

  1. “There is the problem of distribution – how to share prosperity in society when our traditional way” — source
  2. A World Without Work: Technology, Automation and How We Should Respond

Why researchers disagree on this · Who else says what

Will AI destroy more jobs than it creates? leans agree

Argues that structural technological unemployment, where AI's substituting effect gradually outweighs its complementing effect, is possible though not inevitable, and that the threat of declining labor demand should be taken more seriously than before.

Evidence

  1. “Is that scenario inevitable? No, of course not. But is it possible – I argue that it is.” — source
  2. Technological Unemployment

Why researchers disagree on this · Who else says what

Will AI widen inequality? leans agree

Argues that if AI reduces demand for human work, a central problem becomes distributing prosperity when wages are a less effective channel, and his book proposes a larger redistributive role for the state.

Evidence

  1. “There is the problem of distribution – how to share prosperity in society when our traditional way” — source
  2. A World Without Work: Technology, Automation and How We Should Respond

Why researchers disagree on this · Who else says what

Should governments act on AI now? leans agree

Writes that new evidence on declining labor demand is significant for AI governance and names the growing political power of large technology companies as a problem to address.

Evidence

  1. Technological Unemployment
  2. “the growing political power of the large technology companies” — source

Why researchers disagree on this · Who else says what

How fast will the impact arrive? it's complicated

Describes technological progress as gradual but relentless and treats tech leaders' five-to-ten-year forecasts of human-level AI as possible rather than inevitable, without endorsing a specific timeline.

Evidence

  1. “Is that scenario inevitable? No, of course not. But is it possible – I argue that it is.” — source

Why researchers disagree on this · Who else says what

Selected work

Writes with

Richard Susskind (3)

Co-authors on the map, by papers written together (1 of 1 shown).

Heard on

Podcast episodes that name Daniel Susskind in their title or description (2 of 2 shown).

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