Report NEP-AIN-2026-02-02

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.

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Other reports in NEP-AIN

The following items were announced in this report:

• Mikl'os Koren & G'abor B'ek'es & Julian Hinz & Aaron Lohmann, 2026, "Vibe Coding Kills Open Source," Papers, arXiv.org, number 2601.15494, Jan.
• Fabian Stephany & Ole Teutloff & Angelo Leone, 2026, "AI Skills Improve Job Prospects: Causal Evidence from a Hiring Experiment," Papers, arXiv.org, number 2601.13286, Jan.
• Hangyu Chen & Yongming Sun & Yiming Yuan, 2026, "Artificial Intelligence and Skills: Evidence from Contrastive Learning in Online Job Vacancies," Papers, arXiv.org, number 2601.03558, Jan.
• Iñaki Aldasoro & Leonardo Gambacorta & Rozalia Pal & Debora Revoltella & Christoph Weiss & Marcin Wolski, 2026, "AI adoption, productivity and employment: evidence from European firms," BIS Working Papers, Bank for International Settlements, number 1325, Jan.
• Yukun Zhang & Tianyang Zhang, 2026, "The Economics of Digital Intelligence Capital: Endogenous Depreciation and the Structural Jevons Paradox," Papers, arXiv.org, number 2601.12339, Jan.
• Yukun Zhang & Tianyang Zhang, 2026, "Generative AI as a Non-Convex Supply Shock: Market Bifurcation and Welfare Analysis," Papers, arXiv.org, number 2601.12488, Jan.
• Tontrup, Stephan & Sprigman, Christopher Jon, 2025, "Strategic Delegation of Moral Decisions to AI," EconStor Preprints, ZBW - Leibniz Information Centre for Economics, number 335206, DOI: 10.2139/ssrn.5696827.
• Nico Mutzner & Taha Yasseri & Heiko Rauhut, 2026, "Normative Equivalence in Human-AI Cooperation: Behaviour, Not Identity, Drives Cooperation in Mixed-Agent Groups," Papers, arXiv.org, number 2601.20487, Jan, revised Jan 2026.
• Pawe{l} Niszczota & Elia Antoniou, 2026, "Do people expect different behavior from large language models acting on their behalf? Evidence from norm elicitations in two canonical economic games," Papers, arXiv.org, number 2601.15312, Jan.
• Florence Bernays & Marco Henriques Pereira & Jochen Menges, 2026, "How Human is AI? Examining the Impact of Emotional Prompts on Artificial and Human and Responsiveness," Papers, arXiv.org, number 2601.05104, Jan.
• Gavin Wang & Srinaath Anbudurai & Oliver Sun & Xitong Li & Lynn Wu, 2026, "Large Language Models Polarize Ideologically but Moderate Affectively in Online Political Discourse," Papers, arXiv.org, number 2601.20238, Jan.
• Thomas H. Costello & Kellin Pelrine & Matthew Kowal & Antonio A. Arechar & Jean-Franc{c}ois Godbout & Adam Gleave & David Rand & Gordon Pennycook, 2026, "Large language models can effectively convince people to believe conspiracies," Papers, arXiv.org, number 2601.05050, Jan, revised Jan 2026.
• Alexander Eliseev & Sergei Seleznev, 2026, "Fake Date Tests: Can We Trust In-sample Accuracy of LLMs in Macroeconomic Forecasting?," Papers, arXiv.org, number 2601.07992, Jan.
• Bohan Liang & Zijian Chen & Qi Jia & Kaiwei Zhang & Kaiyuan Ji & Guangtao Zhai, 2025, "PriceSeer: Evaluating Large Language Models in Real-Time Stock Prediction," Papers, arXiv.org, number 2601.06088, Dec.
• Mohammadhossien Rashidi, 2025, "Can Large Language Models Improve Venture Capital Exit Timing After IPO?," Papers, arXiv.org, number 2601.00810, Dec.
• Mostapha Benhenda, 2026, "Look-Ahead-Bench: a Standardized Benchmark of Look-ahead Bias in Point-in-Time LLMs for Finance," Papers, arXiv.org, number 2601.13770, Jan.
• Marco Bornstein & Amrit Singh Bedi, 2026, "AI Cap-and-Trade: Efficiency Incentives for Accessibility and Sustainability," Papers, arXiv.org, number 2601.19886, Jan.
• Fabian Stephany & Jedrzej Duszynski, 2026, "Women Worry, Men Adopt: How Gendered Perceptions Shape the Use of Generative AI," Papers, arXiv.org, number 2601.03880, Jan.
• Juan Wu & Zhe & Zhang & Amit Mehra, 2026, "When Is Self-Disclosure Optimal? Incentives and Governance of AI-Generated Content," Papers, arXiv.org, number 2601.18654, Jan.
• Luisa Carpinelli & Filippo Natoli & Marco Taboga, 2026, "Artificial Intelligence and the US Economy: An Accounting Perspective on Investment and Production," Papers, arXiv.org, number 2601.11196, Jan.
• Paul Goldsmith-Pinkham & Chenhao Tan & Alexander K. Zentefis, 2026, "Human-AI Collaboration in Radiology: The Case of Pulmonary Embolism," Papers, arXiv.org, number 2601.13379, Jan.
• Zefeng Chen & Darcy Pu, 2026, "Autonomous Market Intelligence: Agentic AI Nowcasting Predicts Stock Returns," Papers, arXiv.org, number 2601.11958, Jan.
• Yuechen Jiang & Zhiwei Liu & Yupeng Cao & Yueru He & Ziyang Xu & Chen Xu & Zhiyang Deng & Prayag Tiwari & Xi Chen & Alejandro Lopez-Lira & Jimin Huang & Junichi Tsujii & Sophia Ananiadou, 2026, "All That Glisters Is Not Gold: A Benchmark for Reference-Free Counterfactual Financial Misinformation Detection," Papers, arXiv.org, number 2601.04160, Jan, revised Jan 2026.
• Joshua S. Gans, 2026, "A Model of Artificial Jagged Intelligence," NBER Working Papers, National Bureau of Economic Research, Inc, number 34712, Jan.