The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Shifting Work Patterns with Generative AI
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In the citing paper
“This aligns with prior empirical findings showing that AI tools tend to optimize individual task execution but have limited impact on collaborative practices such as meetings and coordination routines [5].”
From The Fast and Spurious: Developer Productivity with GenAI (2025) · cites this paper as [5]
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Citations
Cites
Difference-in-differences with variation in treatment timing
Goodman-Bacon, A. (2021) · Journal of Econometrics · doi:10.1016/j.jeconom.2021.03.014 · Cited by 8,046
Anderson, M. L. (2008) · Journal of the American Statistical Association · doi:10.1198/016214508000000841 · Cited by 2,410
The Productivity J-Curve: How Intangibles Complement General Purpose Technologies
Brynjolfsson, E., Rock, D., & Syverson, C. (2021) · American Economic Journal: Macroeconomics · doi:10.1257/mac.20180386 · Cited by 1,003
Vaithilingam, P., Zhang, T., & Glassman, E. L. (2022) · CHI Conference on Human Factors in Computing Systems Extended Abstracts · doi:10.1145/3491101.3519665 · Cited by 660
The Impact of AI on Developer Productivity: Evidence from GitHub Copilot
Peng, S., Kalliamvakou, E., Cihon, P., & Demirer, M. (2023) · arXiv · doi:10.48550/arxiv.2302.06590 · Cited by 287
Applying AI to Rebuild Middle Class Jobs
Autor, D. (2024) · doi:10.3386/w32140 · Cited by 157
Large Language Models, Small Labor Market Effects
Humlum, A., & Vestergaard, E. (2025) · doi:10.2139/ssrn.5219933 · Cited by 27
Comparing Traditional and LLM-based Search for Consumer Choice: A Randomized Experiment
Spatharioti, S. E., Rothschild, D. M., Goldstein, D. G., & Hofman, J. M. (2023) · arXiv · doi:10.48550/arxiv.2307.03744 · Cited by 26
A Test for Evaluating Performance in Human-Computer Systems
Campero, A., Vaccaro, M., Song, J., Wen, H., Almaatouq, A., & Malone, T. W. (2022) · arXiv · doi:10.48550/arxiv.2206.12390 · Cited by 21
Tracking Firm Use of AI in Real Time: A Snapshot from the Business Trends and Outlook Survey
Bonney, K., Breaux, C., Buffington, C., Dinlersoz, E., Foster, L., Goldschlag, N., Haltiwanger, J. C., Kroff, Z., & Savage, K. (2024) · doi:10.2139/ssrn.4794368 · Cited by 4
Cited by
Still Waters, Rapid Currents: Early Labor Market Transformation under Generative AI
Humlum, A., & Vestergaard, E. (2025) · doi:10.3386/w33777 · Cited by 68
Technological folie à deux: feedback loops between AI chatbots and mental health
Dohnány, S., Kurth-Nelson, Z., Spens, E., Luettgau, L., Reid, A., Gabriel, I., Summerfield, C., Shanahan, M., & Nour, M. M. (2026) · Nature Mental Health · doi:10.1038/s44220-026-00595-8 · Cited by 51
The Rapid Adoption of Generative AI
Bick, A., Blandin, A., & Deming, D. J. (2026) · Management Science · doi:10.1287/mnsc.2025.02523 · Cited by 48
Large Language Models, Small Labor Market Effects
Humlum, A., & Vestergaard, E. (2025) · doi:10.2139/ssrn.5219933 · Cited by 27
The Fast and Spurious: Developer Productivity with GenAI
Afroz, S., Feng, Z., Menezes, T., Kimura, K., Trinkenreich, B., Steinmacher, I., & Sarma, A. (2025) · arXiv · doi:10.48550/arxiv.2510.24265 · Cited by 11
Metadata
- Authors
- Dillon, E., Jaffe, S., Immorlica, N., & Stanton, C.
- Publisher
- National Bureau of Economic Research
- Published
- 2025-05
- Cited by
- 31
- References
- 10
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
