Backfiring AI? AI Deployment in Workplace

Published Online:https://doi.org/10.1287/mnsc.2023.03108

References

  • Abernethy MA, Hung C-Y, van Lent L (2020) Expertise and discretionary bonus decisions. Management Sci. 66(1):415–432.LinkGoogle Scholar
  • Acemoglu D, Restrepo P (2019) Automation and new tasks: How technology displaces and reinstates labor. J. Econom. Perspect. 33(2):3–30.CrossrefGoogle Scholar
  • Acemoglu D, Makhdoumi A, Malekian A, Ozdaglar A (2022) Too much data: Prices and inefficiencies in data markets. Amer. Econom. J. Microeconom. 14(4):218–256.CrossrefGoogle Scholar
  • Agrawal A, Gans JS, Goldfarb A (2019) Artificial intelligence: The ambiguous labor market impact of automating prediction. J. Econom. Perspect. 33(2):31–50.CrossrefGoogle Scholar
  • Aseri M, Dawande M, Janakiraman G, S Mookerjee V (2020) Ad-blockers: A blessing or a curse? Inform. Systems Res. 31(2):627–646.LinkGoogle Scholar
  • Autor DH (2015) Why are there still so many jobs? The history and future of workplace automation. J. Econom. Perspect. 29(3):3–30.CrossrefGoogle Scholar
  • Brynjolfsson E (2022) The Turing trap: The promise and peril of human-like artificial intelligence. Daedalus 151(2):272–287.CrossrefGoogle Scholar
  • Brynjolfsson E, Mitchell T (2017) What can machine learning do? Workforce implications. Science 358(6370):1530–1534.CrossrefGoogle Scholar
  • Brynjolfsson E, Chandar B, Chen R (2025a) Canaries in the coal mine? Six facts about the recent employment effects of artificial intelligence. Working paper, Stanford University, Stanford, CA.Google Scholar
  • Brynjolfsson E, Li D, Raymond L (2025b) Generative AI at work. Quart. J. Econom. 140(2):889–942.CrossrefGoogle Scholar
  • Brynjolfsson E, Rock D, Syverson C (2018) Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics (University of Chicago Press, Chicago), 23–57.Google Scholar
  • Cadsby CB, Song F, Tapon F (2007) Sorting and incentive effects of pay for performance: An experimental investigation. Acad. Management J. 50(2):387–405.CrossrefGoogle Scholar
  • Chan TY, Li J, Pierce L (2014) Compensation and peer effects in competing sales teams. Management Sci. 60(8):1965–1984.LinkGoogle Scholar
  • Eisfeldt AL, Schubert G, Zhang MB (2023) Generative AI and firm values. NBER Working Paper 31222, National Bureau of Economic Research, Cambridge, MA.Google Scholar
  • Eloundou T, Manning S, Mishkin P, Rock D (2023) GPTs are GPTs: An early look at the labor market impact potential of large language models. Preprint, submitted August 21, https://arxiv.org/abs/2303.10130.Google Scholar
  • Felten EW, Raj M, Seamans R (2018) A method to link advances in artificial intelligence to occupational abilities. AEA Papers Proc. 108:54–57.CrossrefGoogle Scholar
  • Felten E, Raj M, Seamans R (2021) Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses. Strategic Management J. 42(12):2195–2217.CrossrefGoogle Scholar
  • Fjelland R (2020) Why general artificial intelligence will not be realized. Humanities Soc. Sci. Comm. 7(1):10.CrossrefGoogle Scholar
  • Frank MR, Autor D, Bessen JE, Brynjolfsson E, Cebrian M, Deming DJ, Feldman M, et al. (2019) Toward understanding the impact of artificial intelligence on labor. Proc. Natl. Acad. Sci. USA 116(14):6531–6539.CrossrefGoogle Scholar
  • Furman J, Seamans R (2019) AI and the economy. Innovation Policy Econom. 19:161–191.CrossrefGoogle Scholar
  • Garnelo M, Shanahan M (2019) Reconciling deep learning with symbolic artificial intelligence: Representing objects and relations. Curr. Opinion Behav. Sci. 29:17–23.CrossrefGoogle Scholar
  • Gartner (2024) AI in HR: The CHRO’s role in AI transformation. Accessed April 20, 2026, https://www.gartner.com/en/human-resources/topics/artificial-intelligence-in-hr.Google Scholar
  • Gerhart B, Fang M (2014) Pay for (individual) performance: Issues, claims, evidence and the role of sorting effects. Human Resource Management Rev. 24(1):41–52.Google Scholar
  • Glikson E, Woolley AW (2020) Human trust in artificial intelligence: Review of empirical research. Acad. Management Ann. 14(2):627–660.CrossrefGoogle Scholar
  • Gregory RW, Keil M, Muntermann J, Mähring M (2015) Paradoxes and the nature of ambidexterity in IT transformation programs. Inform. Systems Res. 26(1):57–80.LinkGoogle Scholar
  • Groysberg B, Abbott S, Marino MR, Aksoy M (2021) Compensation packages that actually drive performance. Harvard Bus. Rev. (January–February), https://hbr.org/2021/01/compensation-packages-that-actually-drive-performance.Google Scholar
  • Hassin R, Roet-Green R (2021) On queue-length information when customers travel to a queue. Manufacturing Service Oper. Management 23(4):989–1004.LinkGoogle Scholar
  • He W, Li S-L, Feng J, Zhang G, Sturman MC (2021) When does pay for performance motivate employee helping behavior? The contextual influence of performance subjectivity. Acad. Management J. 64(1):293–326.CrossrefGoogle Scholar
  • Heaven WD (2020) Artificial general intelligence: Are we close, and does it even make sense to try? Accessed April 20, 2026, https://www.technologyreview.com/2020/10/15/1010461/artificial-general-intelligence-robots-ai-agi-deepmind-google-openai/.Google Scholar
  • Iyer G, Katona Z (2016) Competing for attention in social communication markets. Management Sci. 62(8):2304–2320.LinkGoogle Scholar
  • Kanazawa K, Kawaguchi D, Shigeoka H, Watanabe Y (2026) AI, skill, and productivity: The case of taxi drivers. Management Sci. 72(2):1376–1388.LinkGoogle Scholar
  • Lazear EP (2000) Performance pay and productivity. Amer. Econom. Rev. 90(5):1346–1361.CrossrefGoogle Scholar
  • Lazear EP (2018) Compensation and incentives in the workplace. J. Econom. Perspect. 32(3):195–214.CrossrefGoogle Scholar
  • Levy F (2018) Computers and populism: Artificial intelligence, jobs, and politics in the near term. Oxford Rev. Econom. Policy 34(3):393–417.CrossrefGoogle Scholar
  • Lohr T, Brook E, Chase S, Krishna S, Shank M, Edin P, McGowan B, Frolick E (2023) Generative AI: From buzz to business value. KPMG, https://kpmg.com/us/en/articles/2024/moving-ai-buzz-value.html.Google Scholar
  • Lucas RE Jr (1972) Expectations and the neutrality of money. J. Econom. Theory 4(2):103–124.CrossrefGoogle Scholar
  • McKinsey Global Institute (2018) AI, automation, and the future of work: Ten things to solve for. Accessed April 20, 2026, https://www.mckinsey.com/featured-insights/future-of-work/ai-automation-and-the-future-of-work-ten-things-to-solve-for.Google Scholar
  • Mele C, Marzullo M, Morande S, Spena TR (2022) How artificial intelligence enhances human learning abilities: Opportunities in the fight against COVID-19. Service Sci. 14(2):77–89.LinkGoogle Scholar
  • Microsoft (2025) Wellbeing and productivity tools. Accessed April 20, 2026, https://www.microsoft.com/en-us/microsoft-viva/insights.Google Scholar
  • Mitchener L, Tuckey D, Crosby M, Russo A (2022) Detect, understand, act: A neuro-symbolic hierarchical reinforcement learning framework. Machine Learn. 111(4):1523–1549.CrossrefGoogle Scholar
  • Noy S, Zhang W (2023) Experimental evidence on the productivity effects of generative artificial intelligence. Science 381(6654):187–192.CrossrefGoogle Scholar
  • Rai A, Constantinides P, Sarker S (2019) Next generation digital platforms: Toward human-AI hybrids. MIS Quart. 43(1):iii–iix.CrossrefGoogle Scholar
  • Ramasubbu N, Kemerer CF (2016) Technical debt and the reliability of enterprise software systems: A competing risks analysis. Management Sci. 62(5):1487–1510.LinkGoogle Scholar
  • Ransbotham S, Kiron D, Gerbert P, Reeves M (2017) Reshaping business with artificial intelligence: Closing the gap between ambition and action. MIT Sloan Management Rev. 59(1):1–17.Google Scholar
  • Raveendran M, Puranam P, Warglien M (2022) Division of labor through self-selection. Organ. Sci. 33(2):810–830.LinkGoogle Scholar
  • Rubel O, Prasad A (2016) Dynamic incentives in sales force compensation. Marketing Sci. 35(4):676–689.LinkGoogle Scholar
  • Senoner J, Netland T, Feuerriegel S (2022) Using explainable artificial intelligence to improve process quality: Evidence from semiconductor manufacturing. Management Sci. 68(8):5704–5723.LinkGoogle Scholar
  • Solon O (2018) Amazon patents wristband that tracks warehouse workers’ movements. Accessed April 20, 2026, https://www.theguardian.com/technology/2018/jan/31/amazon-warehouse-wristband-tracking.Google Scholar
  • Srivastava V (2023) Evolution of AI in salesforce ecosystem (2014 to 2025). cyntexa (November 1), https://cyntexa.com/blog/evolution-of-ai-in-salesforce/.Google Scholar
  • Stroh LK, Brett JM, Baumann JP, Reilly AH (1996) Agency theory and variable pay compensation strategies. Acad. Management J. 39(3):751–767.CrossrefGoogle Scholar
  • Sun J, Zhang DJ, Hu H, Mieghem JAV (2022) Predicting human discretion to adjust algorithmic prescription: A large-scale field experiment in warehouse operations. Management Sci. 68(2):846–865.LinkGoogle Scholar
  • Verma A (2024) Use of data analytics by Uber to enhance supply efficiency and service quality. Accessed April 20, 2026, https://www.pickl.ai/blog/use-of-data-analytics-by-uber-to-enhance-supply-efficiency-and-service-quality/.Google Scholar
  • Wang H, Zhang Y, Hu H, Lu T (2026) The power of disagreement: A field experiment to investigate human–algorithm collaboration in loan evaluations. Management Sci. 72(1):96–118.LinkGoogle Scholar
  • Webb M (2020) The impact of artificial intelligence on the labor market. Preprint, submitted January 11, https://doi.org/10.2139/ssrn.3482150.Google Scholar
  • Yang C, Bauer K, Li X, Hinz O (2025) My advisor, her AI, and me: Evidence from a field experiment on human–AI collaboration and investment decisions. Management Sci. 72(1):242–264.Google Scholar
  • Zhou YM (2013) Designing for complexity: Using divisions and hierarchy to manage complex tasks. Organ. Sci. 24(2):339–355.LinkGoogle Scholar
  • Zolas N, Kroff Z, Brynjolfsson E, McElheran K, Beede D, Buffington C, Goldschlag N, Lucia F, Dinlersoz E (2020) Advanced technologies adoption and use by U.S. firms: Evidence from the annual business survey. NBER Working Paper 28290, National Bureau of Economic Research, Cambridge, MA.Google Scholar
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