Daniel Susskind
Economist; Research Professor, King's College London
Signed the letter · Academia · United Kingdom
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
Sources
- Daniel Susskind - homepage
- Daniel Susskind | King's College London
- A World Without Work: Technology, Automation and How We Should Respond
- “Signed the wemustactnow.ai open letter” — source
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
- “There is the problem of distribution – how to share prosperity in society when our traditional way” — source
- A World Without Work: Technology, Automation and How We Should Respond
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
- “Is that scenario inevitable? No, of course not. But is it possible – I argue that it is.” — source
- Technological Unemployment
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
- “There is the problem of distribution – how to share prosperity in society when our traditional way” — source
- A World Without Work: Technology, Automation and How We Should Respond
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
- Technological Unemployment
- “the growing political power of the large technology companies” — source
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
- “Is that scenario inevitable? No, of course not. But is it possible – I argue that it is.” — source
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).
- The Future of Creativity - Daniel Susskind
Gresham College Lectures · 2 Oct 2026 - Daniel Susskind on AI and our Children’s Future
RSA Events · 17 Sep 2026
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