The best empirical studies I have read about GenAI in 2026, in APA format

1. Abdulhai, M., White, I., Wan, Y., Qureshi, I., Leibo, J., Kleiman-Weiner, M., & Jaques, N. (2026). How LLMs Distort Our Written Language (arXiv:2603.18161). arXiv. https://doi.org/10.48550/arXiv.2603.18161

2. Acemoglu, D., Kong, D., & Ozdaglar, A. (2026). AI, Human Cognition and Knowledge Collapse.

3. Benedek, M., & Sziklai, B. R. (2025). Impact of AI Tools on Learning Outcomes: Decreasing Knowledge and Over-Reliance (arXiv:2510.16019). arXiv. https://doi.org/10.48550/arXiv.2510.16019

4. Budzyń, K., Romańczyk, M., Kitala, D., Kołodziej, P., Bugajski, M., Adami, H. O., Blom, J., Buszkiewicz, M., Halvorsen, N. G., Cesare, H., Romańczyk, T., Holme, Ø., Jarus, K., Fielding, S., Kunar, M. A., Pellise, M., Pilonis, N. D., Kamiński, M. F., Kalager, M., … Mori, Y. (2024). Endoscopist De-Skilling after Exposure to Artificial Intelligence in Colonoscopy: A Multicenter Observational Study. SSRN. https://doi.org/10.2139/ssrn.5070304

5. Cloud, A., Le, M., Chua, J., Betley, J., Sztyber-Betley, A., Mindermann, S., Hilton, J., Marks, S., & Evans, O. (2026). Language models transmit behavioural traits through hidden signals in data. Nature, 652(8110), 615–621. https://doi.org/10.1038/s41586-026-10319-8

6. Galdin, A., & Silbert, J. (2025). Making Talk Cheap: Generative AI and Labor Market Signaling.

7. Gerlich, M. (2025). AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking. Societies, 15(1), 6. https://doi.org/10.3390/soc15010006

8. Hao, Q., Xu, F., Li, Y., & Evans, J. (2026). Artificial intelligence tools expand scientists’ impact but contract science’s focus. Nature, 649(8099), 1237–1243. https://doi.org/10.1038/s41586-025-09922-y

9. Haverals, W., & Martin, M. (2025). Everyone prefers human writers, including AI (arXiv:2510.08831). arXiv. https://doi.org/10.48550/arXiv.2510.08831

10. Jelson, A., Manesh, D., Jang, A., Dunlap, D., & Lee, S. W. (2025). An Empirical Study to Understand How Students Use ChatGPT for Writing Essays (arXiv:2501.10551). arXiv. https://doi.org/10.48550/arXiv.2501.10551

11. Ju, H., & Aral, S. (2025). Collaborating with AI Agents: Field Experiments on Teamwork, Productivity, and Performance (Version 3). arXiv. https://doi.org/10.48550/ARXIV.2503.18238

12. Kosmyna, N., Hauptmann, E., Yuan, Y. T., & Situ, J. (2025). Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Tasks.

13. Laban, P., Schnabel, T., & Neville, J. (2026). LLMs Corrupt Your Documents When You Delegate (arXiv:2604.15597). arXiv. https://doi.org/10.48550/arXiv.2604.15597

14. Liu, G., Christian, B., Dumbalska, T., Bakker, M. A., & Dubey, R. (2026). AI Assistance Reduces Persistence and Hurts Independent Performance (arXiv:2604.04721). arXiv. https://doi.org/10.48550/arXiv.2604.04721

15. Maleki, N., Padmanabhan, B., & Dutta, K. (2024). AI Hallucinations: A Misnomer Worth Clarifying. 2024 IEEE Conference on Artificial Intelligence (CAI), 133–138. https://doi.org/10.1109/CAI59869.2024.00033

16. Moon, K., Kushlev, K., Bank, A., Lira, B., Viskontas, I., Johnson, D. R., Duckworth, A. L., & Green, A. E. (2026). The Creative Link Between Words and Ideas is Weakening in the AI Era.

17. Nguyen, D. C., & Welch, C. (2025). Generative Artificial Intelligence in Qualitative Data Analysis: Analyzing—Or Just Chatting? Organizational Research Methods, 10944281251377154. https://doi.org/10.1177/10944281251377154

18. Resnik, D. B., & Hosseini, M. (2026). Hallucinated citations produced by generative artificial intelligence may constitute research misconduct when citations function as data in scholarly papers. Accountability in Research, 2645390. https://doi.org/10.1080/08989621.2026.2645390

19. Shaw, S. D., & Nave, G. (2026). Thinking—Fast, Slow, and Artificial: How AI is Reshaping Human Reasoning and the Rise of Cognitive Surrender.

20. Siler, K. (2026). The diffusion of large language models in published academic articles. Proceedings of the National Academy of Sciences, 123(22), e2605754123. https://doi.org/10.1073/pnas.2605754123

21. Sourati, Z., S. Ziabari, A., & Dehghani, M. (2026). The homogenizing effect of large language models on human expression and thought. Trends in Cognitive Sciences, S1364661326000033. https://doi.org/10.1016/j.tics.2026.01.003

22. Tan, M., Phalen, L., & Demszky, D. (2026). Marked Pedagogies: Examining Linguistic Biases in Personalized Automated Writing Feedback. Proceedings of the LAK26: 16th International Learning Analytics and Knowledge Conference, 568–577. https://doi.org/10.1145/3785022.3785113

23. Tomlinson, K., Jaffe, S., Wang, W., Counts, S., & Suri, S. (2025). Working with AI: Measuring the Occupational Implications of Generative AI (arXiv:2507.07935). arXiv. https://doi.org/10.48550/arXiv.2507.07935