Report NEP-AIN-2026-07-27

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:

• Po Han Teo, 2026, "LLM Agents as Static Level-k Players in Behavioural Games," Papers, arXiv.org, number 2606.27845, Jun.
• Qiaoni Shi & Kai Zhu & Kai Gu, 2026, "Answering Without Referring: How AI Search Rewrites the Web's Economic Bargain," Papers, arXiv.org, number 2607.07652, Jul.
• Zara Contractor & Germ'an Reyes, 2026, "Experimental Evidence on the Learning Impact of Generative AI," Papers, arXiv.org, number 2607.08849, Jul.
• Nicola Borri & Yukun Liu & Aleh Tsyvinski, 2026, "AI Premium," Papers, arXiv.org, number 2606.30583, Jun, revised Jul 2026.
• Auyon Siddiq & Niuniu Zhang, 2026, "Human Capital, AI, and Labor Commoditization," Papers, arXiv.org, number 2606.21880, Jun, revised Jun 2026.
• Simrita Singh & Naireet Ghosh & Tinglong Dai, 2026, "Managing the Human Fallback: Skill Investment Under Improving AI and Worker Mobility," Papers, arXiv.org, number 2606.29111, Jun.
• Yang Yu & Martin Fleming & Lucy Hampton & Christophe Combemale & Neil Thompson, 2026, "AI Adoption in S&P 500 Firms," Papers, arXiv.org, number 2607.08920, Jul.
• Gambacorta, Leonardo & Jappelli, Tullio & Oliviero, Tommaso, 2025, "Exploring Household Adoption and Usage of Generative AI: New Evidence from Italy," CEPR Discussion Papers, Centre for Economic Policy Research, number 20762, Oct.
• Zhong, Hongda, 2025, "Optimal Integration: Human, Machine, and Generative AI," CEPR Discussion Papers, Centre for Economic Policy Research, number 20330, Jun.
• Feher, Adam & Garcia-Appendini, Emilia & Mihet, Roxana, 2025, "Is AI Trained on Public Money? Evidence from U.S. Data Centers," CEPR Discussion Papers, Centre for Economic Policy Research, number 20758, Oct.
• Bonfiglioli, Alessandra & Crinò, Rosario & Filomena, Mattia & Gancia, Gino, 2025, "Data, Power and Emissions: The Environmental Cost of AI," CEPR Discussion Papers, Centre for Economic Policy Research, number 20686, Sep.
• Dennis Mao & Alessandra Lin & Yixin Kang & Yiqing Wang, 2026, "Governing Generative AI Across Financial Institutions: A Framework for Generative AI Risk Control," Papers, arXiv.org, number 2607.04103, Jul, revised Jul 2026.
• Colliard, Jean-Edouard & Zhao, Junli, 2025, "Artificial Intelligence and the Rents of Finance Workers," CEPR Discussion Papers, Centre for Economic Policy Research, number 20460, Jul.
• Adrian, Tobias & Mosk, Benjamin & Wu, Jason, 2025, "The Future of AI in Capital Markets," CEPR Discussion Papers, Centre for Economic Policy Research, number 20748, Oct.
• Suela Vasil & Armela Maxhelaku, 0000, "Artificial Intelligence and Application Domains in FinTech," Proceedings of Economics and Finance Conferences, International Institute of Social and Economic Sciences, number 15817211.
• Bartosz Zi'o{l}ko & Kacper Dobrzeniewski, 2026, "Augmenting Fundamental Analysis with Large Language Models: A RAG-Based System for Generating Investor Briefs," Papers, arXiv.org, number 2607.09121, Jul.
• Hoyoung Lee & Suhwan Park & Seunghan Lee & Jun Seo & Jaehoon Lee & Sungdong Yoo & Minjae Kim & CheolWon Na & Zhangyang Wang & Zach Golkhou & Minkyu Kim & Sotirios Sabanis & Alejandro Lopez-Lira & Dhag, 2026, "When Summaries Distort Decisions: Information Fidelity in LLM-Compressed Financial Analysis," Papers, arXiv.org, number 2606.29251, Jun, revised Jul 2026.
• Aquilina, Matteo & Araujo, Douglas & Gelos, Gaston & Park, Taejin & Perez-Cruz, Fernando, 2025, "Harnessing Artificial Intelligence for Monitoring Financial Markets," CEPR Discussion Papers, Centre for Economic Policy Research, number 20768, Oct.
• Ralph S. J. Koijen & Bradford Levy, 2026, "Assessing the Benefits of Optimized Agentic AI Systems for Asset Pricing," NBER Working Papers, National Bureau of Economic Research, Inc, number 35431, Jul.