Christian Catalini
Economist; co-founder of Lightspark; founder, MIT Cryptoeconomics Lab
Signed the letter · Academia · United States
Research scientist at the MIT Sloan School of Management and founder of the MIT Cryptoeconomics Lab (2017). Co-founder of Lightspark with David Marcus, co-creator of Libra/Diem, and formerly Chief Economist of the Diem Association. Served on the MIT faculty from 2013 to 2021 and was appointed a Faculty Research Fellow at the National Bureau of Economic Research in 2018. PhD from the University of Toronto's Rotman School of Management. Author of work on the economics of digital currencies and artificial intelligence, including 'Some simple economics of the blockchain' (with Joshua Gans) and 'Some Simple Economics of AGI'. Signed the wemustactnow.ai open letter.
AI-written Documented facts only, from the sources below.
13 works in the co-authorship map · 4,577 citations across them
Sources
- Christian Catalini - Wikipedia (MIT Sloan research scientist, Cryptoeconomics Lab, Diem, Lightspark, NBER, PhD)
- Christian Catalini — homepage (co-founder Lightspark, co-creator Libra/Diem)
- Some simple economics of the blockchain
- Some Simple Economics of AGI
- “Signed the wemustactnow.ai open letter” — source
In the network
5 co-authors on the map · PageRank #220 of 400 · bridge #115 of 400 · 2 steps from Erik Brynjolfsson · cluster: Economics of prediction and innovation.
Measured on this map only, which grows out of the letter's signatories; what these numbers mean. See Christian Catalini on the map
Documented positions
Will AI actually boost productivity and growth? it's complicated
Models AI as driving the cost of measurable execution toward zero, but argues that human verification capacity, not intelligence, becomes the binding constraint on growth, with outcomes ranging from a 'hollow' to an 'augmented' economy.
Evidence
Will AI destroy more jobs than it creates? leans agree
Argues that AI absorbs labor whose output can be measured, with wages for measurable tasks compressing toward the cost of compute and entry-level apprenticeship eroding; the paper does not give a net job-creation estimate.
Evidence
- Some Simple Economics of AGI
- “tasks that are highly complex but purely measurable will face rapid wage compression toward the marginal cost of compute” — source
Will AI widen inequality? leans agree
The AGI paper argues that the gains of AI deployment are privatized while systemic risks are socialized, and that rents shift toward those who verify and underwrite AI output.
Evidence
- “the gains of AI deployment are aggressively privatized, while the systemic risks are socialized” — source
Should governments act on AI now? leans agree
Calls on policymakers to treat verification infrastructure as a public good and to implement liability regimes, incident reporting and auditable execution traces.
Evidence
- “Policymakers must treat verification infrastructure and ground truth as public goods.” — source
How fast will the impact arrive? agrees
The AGI paper describes the economic transformation as rapid and imminent, stating that the global economy will be transformed over the next one to two years.
Evidence
- “Over the next 12 to 24 months, the global economy will be transformed” — source
Selected work
- Some simple economics of the blockchain
- Some Simple Economics of AGI
- Initial Coin Offerings and the Value of Crypto Tokens
Writes with
Ajay Agrawal (3), Avi Goldfarb (3), Alexander Oettl (2), Joshua Gans (2), Susan Athey (1)
Co-authors on the map, by papers written together (5 of 5 shown).
Heard on
Podcast episodes that name Christian Catalini in their title or description (1 of 1 shown).
- ✨ Why verification is AI's real bottleneck: My interview with economist Christian Catalini
Faster, Please! — The Podcast · 17 Sep 2026
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