Georgios Petropoulos
Assistant Professor, USC Marshall School of Business
Signed the letter · Academia · United States
Economist. Assistant Professor in the Data Sciences and Operations department at the University of Southern California's Marshall School of Business, non-resident fellow at Bruegel, research associate at the MIT Initiative on the Digital Economy, and digital fellow at the Stanford Digital Economy Lab. Author of work on digital platforms, competition policy, and labour markets, including 'Information Technology, Firm Size, and Industrial Concentration' and 'Occupational change, artificial intelligence and the geography of EU labour markets'. Member of the panel of economic experts that advised the European Commission on the EU Digital Markets Act. Signed the wemustactnow.ai open letter.
AI-written Documented facts only, from the sources below.
14 works in the co-authorship map · 482 citations across them
Sources
- Georgios Petropoulos - Stanford Digital Economy Lab
- Georgios Petropoulos - Bruegel
- The EU Digital Markets Act: A report from a Panel of Economic Experts
- “Signed the wemustactnow.ai open letter” — source
In the network
3 co-authors on the map · PageRank #197 of 400 · bridge #119 of 400 · 1 step from Erik Brynjolfsson.
Measured on this map only, which grows out of the letter's signatories; what these numbers mean. See Georgios Petropoulos on the map
Documented positions
Will AI actually boost productivity and growth? agrees
He argues AI, as a general-purpose technology, will raise labor productivity after a phase of intangible-capital accumulation, and co-authored a 2021 piece predicting a productivity boom.
Evidence
Will AI destroy more jobs than it creates? it's complicated
He frames automation as having opposing displacement and productivity effects, writing that displacement may dominate in the short run while job creation can dominate in the longer run; his EU robot study measures both effects.
Evidence
- “So, past cases suggest that in the short run the displacement effect may dominate.” — source
- The impact of industrial robots on EU employment and wages: A local labour market approach
Will AI widen inequality? leans agree
He finds AI talent and benefits concentrated in a small number of large firms and argues that market regulation, competition and labour-market policies are needed; his work also links automation to fewer jobs for less-educated workers.
Evidence
- “This leads to only a small portion of firms capturing most of the talent and the benefits from AI technologies” — source
- Automation, Covid-19, and Labor Markets
Should governments act on AI now? leans agree
He calls for market regulation, competition policy and labour-market policy for AI-related markets and served on the expert panel advising on the EU Digital Markets Act; in 2017 he cautioned against rules adopted without understanding the technology.
Evidence
- “Addressing the market-power failure in AI-related markets would require a combination of market regulation, competition policies and labour-market policies” — source
- The EU Digital Markets Act: A report from a Panel of Economic Experts
How fast will the impact arrive? leans agree
He has written that AI-driven disruption may arrive sooner than expected and co-authored a 2021 forecast of a coming productivity boom, while describing a J-curve in which gains follow an initial investment phase.
Evidence
Selected work
- Information Technology, Firm Size, and Industrial Concentration
- Occupational change, artificial intelligence and the geography of EU labour markets. Bruegel Working Paper Issue 03 | 15 June 2020.
- The EU Digital Markets Act: A report from a Panel of Economic Experts
Writes with
Geoffrey Parker (4), Marshall Van Alstyne (4), Erik Brynjolfsson (1)
Co-authors on the map, by papers written together (3 of 3 shown).
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