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Report NEP-AIN-2026-04-06
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:
- Bernd Irlenbusch & Holger A. Rau & Rainer Michael Rilke, 2026, "Human–AI Evaluation and Gender Transparency: Application Decisions in Competitive Hiring," ECONtribute Discussion Papers Series, University of Bonn and University of Cologne, Germany, number 398, Mar.
- Elchin Suleymanov, 2026, "A Revealed Preference Framework for AI Alignment," Papers, arXiv.org, number 2603.27868, Mar.
- Keaton Ellis & Wanying Huang, 2026, "Should I State or Should I Show? Aligning AI with Human Preferences," Papers, arXiv.org, number 2603.29317, Mar, revised May 2026.
- Moh Hosseinioun & Brian Uzzi & Henrik Barslund Fosse, 2026, "Artificial Intelligence in Science: Returns, Reallocation, and Reorganization," Papers, arXiv.org, number 2603.27956, Mar.
- Jakub Growiec & Klaus Prettner & Maciej Szkr'obka, 2026, "Workers' Incentives and the Optimal Taxation of AI," Papers, arXiv.org, number 2603.17898, Mar.
- Anton Korinek & Joseph E. Stiglitz, 2026, "Steering Technological Progress," NBER Working Papers, National Bureau of Economic Research, Inc, number 34994, Mar.
- Andrew Johnston & Christos A. Makridis, 2026, "AI, Output, and Employment," CESifo Working Paper Series, CESifo, number 12579.
- Brett Hemenway Falk & Gerry Tsoukalas, 2026, "The AI Layoff Trap," Papers, arXiv.org, number 2603.20617, Mar, revised Jun 2026.
- Ravish Gupta & Saket Kumar, 2026, "Agentic AI and Occupational Displacement: A Multi-Regional Task Exposure Analysis of Emerging Labor Market Disruption," Papers, arXiv.org, number 2604.00186, Mar.
- Matthias Mertens & Adam Kuzee & Brittany S. Harris & Harry Lyu & Wensu Li & Jonathan Rosenfeld & Meiri Anto & Martin Fleming & Neil Thompson, 2026, "Crashing Waves vs. Rising Tides: Preliminary Findings on AI Automation from Thousands of Worker Evaluations of Labor Market Tasks," Papers, arXiv.org, number 2604.01363, Apr.
- Pulito, Giuseppe & Pytlikova, Mariola & Schroede, Sarah & Lodefalk, Magnus, 2026, "Who Adopts AI? Evidence on Firms, Technologies and Worker," Working Papers, Örebro University, School of Business, number 2026:3, Mar.
- Emanuele Bazzichi & Massimo Riccaboni & Fulvio Castellacci, 2026, "Bridging Distant Ideas: the Impact of AI on R&D and Recombinant Innovation," Papers, arXiv.org, number 2604.02189, Apr.
- Wensu Li & Atin Aboutorabi & Harry Lyu & Kaizhi Qian & Martin Fleming & Brian C. Goehring & Neil Thompson, 2026, "Economics of Human and AI Collaboration: When is Partial Automation More Attractive than Full Automation?," Papers, arXiv.org, number 2603.29121, Mar.
- Alexander Bick & Adam Blandin & David Deming & Nicola Fuchs-Schündeln & Jonas Jessen, 2026, "Mind the Gap: AI Adoption in Europe and the US," Working Papers, Federal Reserve Bank of St. Louis, number 2026-003, Mar, revised 14 May 2026, DOI: 10.20955/wp.2026.003.
- Luyi Gui & Tinglong Dai, 2026, "Power Couple? AI Growth and Renewable Energy Investment," Papers, arXiv.org, number 2603.26678, Mar.
- Andres Alonso-Robisco & Carlos Esparcia & Francisco Jare~no, 2026, "On the Carbon Footprint of Economic Research in the Age of Generative AI," Papers, arXiv.org, number 2603.26712, Mar.
- Richard Archer & Soheil Ghili & Nima Haghpanah, 2026, "Pay-Per-Crawl Pricing for AI: The LM-Tree Agent," Papers, arXiv.org, number 2604.01416, Apr.
- Mehmet Caner & Agostino Capponi & Nathan Sun & Jonathan Y. Tan, 2026, "Designing Agentic AI-Based Screening for Portfolio Investment," Papers, arXiv.org, number 2603.23300, Mar.
- DiGiuseppe, Matthew & Fu, Xuelong & Flynn, Michael E, 2026, "LLM-Based Measurement of Latent Attributes in Trade Data," SocArXiv, Center for Open Science, number t8wdg_v1, Mar, DOI: 10.31219/osf.io/t8wdg_v1.
- Kemal Kirtac, 2026, "Learning to Aggregate Zero-Shot LLM Agents for Corporate Disclosure Classification," Papers, arXiv.org, number 2603.20965, Mar, revised Apr 2026.
- Drydakis, Nick, 2026, "Artificial Intelligence Capital and Business Innovation," IZA Discussion Papers, IZA Network @ LISER, number 18476, Mar.
- Ricardo Crisostomo & Diana Mykhalyuk, 2026, "Large Language Models and Stock Investing: Is the Human Factor Required?," Papers, arXiv.org, number 2603.19944, Mar, revised Apr 2026.
- Se Yan & Han Zhong & Zemin & Zhong & Wenyu Zhou, 2026, "Shopping with a Platform AI Assistant: Who Adopts, When in the Journey, and What For," Papers, arXiv.org, number 2603.24947, Mar.