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Report NEP-AIN-2026-05-04
This is the archive for NEP-AIN, a report on new working papers in the area of Artificial Intelligence. Ben Greiner issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-AIN
The following items were announced in this report:
- Shuo Zhang & Peter Kuhn, 2025, "Measuring Bias in Job Recommender Systems: Auditing the Algorithms," RFBerlin Discussion Paper Series, ROCKWOOL Foundation Berlin (RFBerlin), number 25108, Nov.
- Michelle Yin & Hoa Vu & Claudia Persico, 2026, "How (un)Stable Are LLM Occupational Exposure Scores? Evidence from Multi-Model Replication," NBER Working Papers, National Bureau of Economic Research, Inc, number 35110, Apr.
- Eduardo Levy Yeyati, 2026, "Too Fast to Adjust. Adoption Speed and the Permanent Cost of AI Transitions," School of Government Working Papers, Universidad Torcuato Di Tella, number wp_gob_2026_01, Feb.
- Anders Humlum & Emilie Vestergaard, 2026, "Still Waters, Rapid Currents: Early Labor Market Transformation under Generative AI," RFBerlin Discussion Paper Series, ROCKWOOL Foundation Berlin (RFBerlin), number 26078, Mar.
- Guillermo Cruces & Diego Fernández Meijide & Sebastian Galiani & Ramiro H. Gálvez & María Lombardi, 2026, "Does generative AI narrow education-based productivity gaps? Evidence from a randomized experiment," School of Government Working Papers, Universidad Torcuato Di Tella, number wp_gob_2026_03, Mar.
- Lukas Freund & Lukas Mann, 2025, "Job Transformation, Specialization, and the Labor Market Effects of AI," RFBerlin Discussion Paper Series, ROCKWOOL Foundation Berlin (RFBerlin), number 25117, Nov.
- Matthias Fahn & Jin Li & Chang Sun, 2026, "Toward a Bad Job Economy: AI Adoption, Agency Costs, and Job Design," CESifo Working Paper Series, CESifo, number 12612.
- Cassandra Merrit & Jacob Dominski & Christopher Hoy, 2026, "Managers as Gatekeepers in the Age of AI," Melbourne Institute Working Paper Series, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne, number wp2026n02, Apr.
- Tania Babina, 2026, "Understanding Firms' AI Efforts and Their Economic Impact," NBER Working Papers, National Bureau of Economic Research, Inc, number 35123, Apr.
- Fenella Carpena & Simon Galle, 2026, "The Labor Market Impact of Occupation-Specific Technical Change: Inspecting the Mechanisms," RFBerlin Discussion Paper Series, ROCKWOOL Foundation Berlin (RFBerlin), number 26039, Feb.
- Francesca Miserocchi & Savannah Noray & Alice Wu, 2026, "The Race between Academia and Industry for AI Researchers," RFBerlin Discussion Paper Series, ROCKWOOL Foundation Berlin (RFBerlin), number 26106, Apr.
- Giacomo Battiston & Federico Boffa & Eugenio Levi & Alberto Parmigiani & Steven Stillman, 2026, "Why Artificial Intelligence is not a Salient Issue: Politicizing AI Reduces Mobilization Potential," RFBerlin Discussion Paper Series, ROCKWOOL Foundation Berlin (RFBerlin), number 26063, Mar.
- Ngunza Maniata, Kevin & Pinshi, Christian P., 2026, "Should Central Banks Care About Artificial Intelligence? A Review of the Literature," MPRA Paper, University Library of Munich, Germany, number 128352, Mar.
- Luca Fornaro & Martin Wolf, 2026, "Macroeconomic policies for AI," Economics Working Papers, Department of Economics and Business, Universitat Pompeu Fabra, number 1943, Apr.