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Researchers

Diane Coyle

Economist, University of Cambridge
Signed the letter · Academia · United Kingdom

wikipedia · other

Bennett Professor of Public Policy at the University of Cambridge and research director of the Bennett School of Public Policy. Author of books on the digital economy and economic measurement, including 'The Weightless World' (1997), 'GDP: A Brief but Affectionate History' (2014), 'Cogs and Monsters' (2021), and 'The Measure of Progress' (2025). Formerly economics editor of The Independent, member of the UK Competition Commission (2001-2009), and vice-chair of the BBC Trust. Appointed OBE (2009), CBE (2018), and DBE (2023) for services to economics. PhD in economics from Harvard University. Signed the wemustactnow.ai open letter.

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

21 works in the co-authorship map · 782 citations across them

Sources

  1. Diane Coyle - Wikipedia
  2. Diane Coyle - Bennett School of Public Policy
  3. Making AI Count: The Next Measurement Frontier
  4. “Signed the wemustactnow.ai open letter” — source

In the network

10 co-authors on the map · PageRank #131 of 400 · bridge #47 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 Diane Coyle on the map

Documented positions

Will AI actually boost productivity and growth? it's complicated

Says AI saves considerable time on individual work tasks but has not yet shown up in aggregate productivity; she expects measurable macro-level gains only if organizations adapt, and argues current statistics struggle to capture AI's impact.

Evidence

  1. “There are a lot of studies now showing that, for individual tasks at work, you save a lot of time using AI.” — source
  2. Making AI Count: The Next Measurement Frontier

Why researchers disagree on this · Who else says what

Will AI destroy more jobs than it creates? leans disagree

Expects some labor-market disruption but not the large-scale job loss described by some AI industry leaders.

Evidence

  1. “I don't myself think it will be a job apocalypse of the kind that some of the AI leaders have been talking about.” — source

Why researchers disagree on this · Who else says what

Will AI widen inequality? leans agree

Says the value from AI is currently captured by a small number of people and that political disruption will follow unless that value is shared more widely.

Evidence

  1. “Unless that value starts being shared, we're going to be in very politically disrupted times.” — source

Why researchers disagree on this · Who else says what

Should governments act on AI now? leans agree

Co-authored policy work arguing for active government strategy on AI, including compute-based governance, an integrated UK approach to AI sovereignty, and public-value-oriented AI development.

Evidence

  1. Computing Power and the Governance of Artificial Intelligence
  2. Navigating AI sovereignty: strategic choices for the UK
  3. Refreshing the UK’s strategic approach to AI

Why researchers disagree on this · Who else says what

How fast will the impact arrive? it's complicated

Says it is too early to see AI's effects and that institutions change more slowly than the technology, while expecting measurable macro-level productivity gains within two or three years if organizations adapt.

Evidence

  1. “It's much slower to change institutions than to change the technology.” — source
  2. “I think it's probably a question of it being too early to see what the effects are.” — source

Why researchers disagree on this · Who else says what

Selected work

Writes with

Adrian Weller (3), Cullen O’Keefe (1), David Nguyen (1), Gillian Hadfield (1), Haydn Belfield (1), Mathias Dewatripont (1), Miles Brundage (1), Robert Trager (1), Shahar Avin (1), Yoshua Bengio (1)

Co-authors on the map, by papers written together (10 of 10 shown).

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