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Report NEP-AIN-2026-10-26
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:
- Martin Bichler & Philip Hierhager & Kassian Kock & Fabian Pieroth, 2026, "How language model agents reshape price competition," Papers, arXiv.org, number 2610.21711, Oct.
- Hanna Brosch & Christina Langer & Philipp Lergetporer & Sandra Mueller & Harald Pfeifer & Nele Tschoepe, 2026, "Task Expansion with Generative AI: Experimental Evidence on Middle-Skilled, Early-Career Workers," CESifo Working Paper Series, CESifo, number 13045.
- Megan Evans & Noli Brazil, 2026, "Searching for housing in the age of AI: racialized neighborhood recommendations across 10 U.S. cities," MPIDR Working Papers, Max Planck Institute for Demographic Research, Rostock, Germany, number WP-2026-041, DOI: 10.4054/MPIDR-WP-2026-041.
- Hellsten, Mark, 2026, "What is an AI worker? Evidence from Matched Vacancy-Hires," Ratio Working Papers, The Ratio Institute, number 393, Oct.
- Cody Orr & Lee C. Tucker & Lawrence Warren, 2026, "Graduating Into Disruption: Labor Market Outcomes for AI-Exposed College Majors," Working Papers, Center for Economic Studies, U.S. Census Bureau, number 26-56, Sep.
- Amit Chandra & Sylvie Michel, 2026, "How does Agentic AI Influence the Developer Skills in the Software Industry? – A Literature Review," Post-Print, HAL, number hal-05789314, May.
- Antonio Minniti & Klaus Prettner & Francesco Venturini, 2026, "AI Innovation and Labor Market Polarization: Evidence from European Regions," Department of Economics Working Papers, Vienna University of Economics and Business, Department of Economics, number wuwp400, Oct.
- Sebastian Sartor & Robert Seamans & Neil Thompson, 2026, "How exposed is work to robotics? Occupational, industry, and geographic measures," Papers, arXiv.org, number 2610.24267, Oct.
- Phurichai Rungcharoenkitkul, 2026, "Transformative AI and demand bottlenecks," BIS Working Papers, Bank for International Settlements, number 1381, Oct.
- Matthew Dey & Emin Dinlersoz & Lucia Foster & Cheryl Grim & John Haltiwanger & Peter B. Meyer & Sabrina Wulff Pabilonia & Aditya Pande & Martha Stinson & Sean Wang & Zoltan Wolf, 2026, "AI Exposure and Adoption Among U.S. Firms," Working Papers, Center for Economic Studies, U.S. Census Bureau, number 26-61, Sep.
- Alina Ermolaeva & Hannah Magdalena Seidl, 2026, "It Matters Who Gets Automated: Monetary Policy in an AI Economy," Discussion Papers of DIW Berlin, DIW Berlin, German Institute for Economic Research, number 2184.
- Swaminathan Balasubramaniam & Jorge Sabat & Soumyajit Ray, 2026, "Do AI Assistants Reinforce Investor Beliefs? Evidence from Human and AI Replies," Working Papers, Becker Friedman Institute for Research In Economics, number 2026-133, Oct.
- Amirhossein Zohrehvand & Aldona Kapacinskaite, 2026, "TRACE: Governing AI-Assisted Research with Principles from Computer Science," Papers, arXiv.org, number 2610.24035, Oct, revised Oct 2026.