The Uneven Impact of Generative Artificial Intelligence on Entrepreneurial Performance: Evidence from a Field Experiment in Kenya

References

• Agarwal N, Moehring A, Rajpurkar P, Salz T (2023) Combining human expertise with artificial intelligence: Experimental evidence from radiology. NBER Working Paper No. 31422, National Bureau of Economic Research, Cambridge, MA.Google Scholar
• Agrawal A, Gans J, Goldfarb A (2022) Prediction Machines, Updated and Expanded: The Simple Economics of Artificial Intelligence (Harvard Business Press, Boston).Google Scholar
• Agrawal A, Gans JS, Goldfarb A (2023) Do we want less automation? Science 381(6654):155–158.Crossref, Google Scholar
• Agrawal A, Gans JS, Stern S (2021) Enabling entrepreneurial choice. Management Sci. 67(9):5510–5524.Link, Google Scholar
• Anderson SJ, McKenzie D (2022) Improving business practices and the boundary of the entrepreneur: A randomized experiment comparing training, consulting, insourcing, and outsourcing. J. Political Econom. 130(1):157–209.Crossref, Google Scholar
• Autor D (2015) Polanyi’s paradox and the shape of employment growth. Federal Reserve Bank of Kansas City Economic Policy Symposium Proceedings: Reevaluating Labor Market Dynamics (Federal Reserve Bank of Kansas City, Kansas City, MO), 129–177. Google Scholar
• Belloni A, Chernozhukov V, Hansen C (2014) High-dimensional methods and inference on structural and treatment effects. J. Econom. Perspect. 28(2):29–50.Crossref, Google Scholar
• Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: A practical and powerful approach to multiple testing. J. Roy. Statist. Soc. Ser. B Methodological 57(1):289–300.Crossref, Google Scholar
• Björkegren D (2023) Artificial intelligence for the poor: How to harness the power of AI in the developing world. Foreign Affairs (August 9), https://www.foreignaffairs.com/world/artificial-intelligence-poor.Google Scholar
• Boussioux L, Lane JN, Zhang M, Jacimovic V, Lakhani KR (2024) The crowdless future? How generative AI is shaping the future of human crowdsourcing. Organ. Sci. 35(5):1589–1607.Google Scholar
• Breiman L (2001) Random forests. Machine Learn. 45(1):5–32.Crossref, Google Scholar
• Bryan KA, Tilcsik A, Zhu B (2017) Which entrepreneurs are coachable and why? Amer. Econom. Rev. 107(5):312–316.Crossref, Google Scholar
• Brynjolfsson E, Hitt LM (2000) Beyond computation: Information technology, organizational transformation and business performance. J. Econom. Perspect. 14(4):23–48.Crossref, Google Scholar
• Brynjolfsson E, Li D, Raymond L (2025) Generative AI at work. Quart. J. Econom. 140(2):889–942.Crossref, Google Scholar
• Brynjolfsson E, Rock D, Syverson C (2021) The productivity J-curve: How intangibles complement general purpose technologies. Amer. Econom. J. Macroeconomics 13(1):333–372.Crossref, Google Scholar
• Campos F, Frese M, Goldstein M, Iacovone L, Johnson HC, McKenzie D, Mensmann M (2017) Teaching personal initiative beats traditional training in boosting small business in West Africa. Science 357(6357):1287–1290.Crossref, Google Scholar
• Camuffo A, Cordova A, Gambardella A, Spina C (2020) A scientific approach to entrepreneurial decision making: Evidence from a randomized control trial. Management Sci. 66(2):564–586.Link, Google Scholar
• Cao R, Koning R, Nanda R (2024) Sampling bias in entrepreneurial experiments. Management Sci. 70(10):7283–7307.Link, Google Scholar
• Carlson NA (2023) Differentiation in microenterprises. Strategic Management J. 44(5):1141–1167.Crossref, Google Scholar
• Chandler AD (1977) The Visible Hand (Harvard University Press, Cambridge, MA).Google Scholar
• Chatterji A, Delecourt S, Hasan S, Koning R (2019) When does advice impact startup performance? Strategic Management J. 40(3):331–356.Crossref, Google Scholar
• Chen Z, Chan J (2024) Large language model in creative work: The role of collaboration modality and user expertise. Management Sci. 70(12):9101–9117.Google Scholar
• Choi JH, Garrod O, Atherton P, Joyce-Gibbons A, Mason-Sesay M, Björkegren D (2023) Are LLMs useful in the poorest schools? The TeacherAI in Sierra Leone. Preprint, submitted October 4, https://arxiv.org/abs/2310.02982.Google Scholar
• De Mel S, McKenzie DJ, Woodruff C (2009) Measuring microenterprise profits: Must we ask how the sausage is made? J. Development Econom. 88(1):19–31.Crossref, Google Scholar
• Dell’Acqua F, McFowland E, Mollick ER, Lifshitz-Assaf H, Kellogg K, Rajendran S, Krayer L, Candelon F, Lakhani KR (2026) Navigating the jagged technological frontier: Field experimental evidence of the effects of artificial intelligence on knowledge worker productivity and quality. Organ. Sci. 37(2):403–423.Google Scholar
• Dimitriadis S, Koning R (2022) Social skills improve business performance: Evidence from a randomized control trial with entrepreneurs in Togo. Management Sci. 68(12):8635–8657.Link, Google Scholar
• Dimitriadis S, Koning R (2025) Networking frictions and entrepreneurial learning in developing economies. Management Sci. 71(4):3127–3145.Link, Google Scholar
• Doshi AR, Hauser O (2024) Generative AI enhances individual creativity but reduces the collective diversity of novel content. Sci. Adv. 10(28):eadn5290.Google Scholar
• Eloundou T, Manning S, Mishkin P, Rock D (2024) GPTs are GPTs: Labor market impact potential of LLMs. Science 384(6702):1306–1308.Crossref, Google Scholar
• Fabregas R, Kremer M, Lowes M, On R, Zane G (2025) Digital information provision and behavior change Lessons from six experiments in East Africa. Amer. Econom. J.: Appl. Econom. 17(1):527–566.Google Scholar
• George G, McGahan AM, Prabhu J (2012) Innovation for inclusive growth: Towards a theoretical framework and a research agenda. J. Management Stud. 49(4):661–683.Crossref, Google Scholar
• Girotra K, Meincke L, Terwiesch C, Ulrich KT (2023) Ideas are dimes a dozen: Large language models for idea generation in innovation. Preprint, submitted July 10, https://doi.org/10.2139/ssrn.4526071.Google Scholar
• Goldberg A, Srivastava SB (2024) How can AI enrich our understanding of organizational culture. Management Bus. Rev. 4(2):32–37.Google Scholar
• Goldfarb A (2024) Pause artificial intelligence research? Understanding AI policy challenges. Canadian J. Econom. 57(2):363–377.Crossref, Google Scholar
• Hanna R, Mullainathan S, Schwartzstein J (2014) Learning through noticing: Theory and evidence from a field experiment. Quart. J. Econom. 129(3):1311–1353.Crossref, Google Scholar
• Harrison GW, List JA (2004) Field experiments. J. Econom. Literature 42(4):1009–1055.Crossref, Google Scholar
• Hui X, Reshef O, Zhou L (2024) The short-term effects of generative artificial intelligence on employment: Evidence from an online labor market. Organ. Sci. 35(6):1977–1989. Google Scholar
• ILO (2014) Start and improve your business (SIYB). Accessed May 18, 2025, https://web.archive.org/web/20230207011748/https://www.ilo.org/empent/areas/start-and-improve-your-business/WCMS_192062/lang--en/index.htm.Google Scholar
• Jahani E, Manning BS, Zhang J, TuYe H-Y, Alsobay M, Nicolaides C, Suri S, Holtz D (2026) Prompt adaptation as a dynamic complement in generative ai systems. Inform. Systems Res., ePub ahead of print April 30, https://doi.org/10.1287/isre.2025.2029.Google Scholar
• Ji Z, Lee N, Frieske R, Yu T, Su D, Xu Y, Ishii E, Bang YJ, Madotto A, Fung P (2023) Survey of hallucination in natural language generation. ACM Comput. Surveys 55(12):1–38.Crossref, Google Scholar
• Kamau P, Barasa L, Onyango G, Otele O (2024) Summary of results: Afrobarometer round 10 survey in Kenya, 2024. Accessed May 18, 2025, https://www.afrobarometer.org/wp-content/uploads/2024/10/Summary-of-results-Kenya-Afrobarometer-R10-template-Eng-16oct24-for-upload.pdf.Google Scholar
• Keen PGW, Morton MSS (1978) Decision Support Systems: An Organizational Perspective (Addison-Wesley Publishing Company, Reading, MA).Google Scholar
• Kenya National Bureau of Statistics (2023) Economic survey 2023: Popular version. Accessed May 18, 2025, https://www.knbs.or.ke/wp-content/uploads/2023/09/2023-Economic-Survey-Popular-Version.pdf.Google Scholar
• Khanna T (2014) Entrepreneurship in emerging markets: Contextual intelligence for the study of two thirds of the world’s population. Boddewyn JJ, ed. Multidisciplinary Insights from New AIB Fellows, Research in Global Strategic Management, vol. 16 (Emerald Group Publishing Limited, Bingley, UK), 221–238.Crossref, Google Scholar
• Kim H (2025) The value of competitor information: Evidence from a field experiment. Management Sci. 71(4):3600–3621.Link, Google Scholar
• Kim H, Glaeser EL, Hillis A, Kominers SD, Luca M (2024) Decision authority and the returns to algorithms. Strategic Management J. 45(4):619–648.Crossref, Google Scholar
• Kinniment M, Sato LJK, Du H, Goodrich B, Hasin M, Chan L, Miles LH, et al. (2023) Evaluating language-model agents on realistic autonomous tasks. Preprint submitted December 18, https://arxiv.org/abs/2312.11671v1.Google Scholar
• Kling JR, Liebman JB, Katz LF (2007) Experimental analysis of neighborhood effects. Econometrica 75(1):83–119.Crossref, Google Scholar
• Kumar H, Rothschild DM, Goldstein DG, Hofman JM (2025) Math education with large language models: Peril or promise? Proc. Internat. Conf. Artificial Intelligence Ed. (Springer Nature, Cham, Switzerland), 60–75.Google Scholar
• Lazear EP (2004) Balanced skills and entrepreneurship. Amer. Econom. Rev. 94(2):208–211.Crossref, Google Scholar
• Lebovitz S, Lifshitz-Assaf H, Levina N (2022) To engage or not to engage with AI for critical judgments: How professionals deal with opacity when using AI for medical diagnosis. Organ. Sci. 33(1):126–148.Link, Google Scholar
• Lou B, Sun H, Sun T (2023) GPTs and labor markets in the developing economy: Evidence from China. Preprint, submitted April 26, https://doi.org/10.2139/ssrn.4426461.Google Scholar
• McAfee A, Rock D, Brynjolfsson E (2023) How to capitalize on generative AI. Harvard Bus. Rev. 101(6):42–48.Google Scholar
• McKenzie D (2012) Beyond baseline and follow-up: The case for more T in experiments. J. Development Econom. 99(2):210–221.Crossref, Google Scholar
• McKenzie D (2021) Small business training to improve management practices in developing countries: Re-assessing the evidence for ‘training doesn’t work.’ Oxford Rev. Econom. Policy 37(2):276–301.Crossref, Google Scholar
• McKenzie D (2025) Designing and analysing powerful experiments: Practical tips for applied researchers. Fiscal Stud. 46(3):305–322.Crossref, Google Scholar
• Mehmood MZ (2024) Short messages fall short for micro-entrepreneurs: Experimental evidence from Kenya (September 20), https://www.theigc.org/sites/default/files/2025-03/Mehmood-Working-Paper-September-2024.pdf.Google Scholar
• Meincke L, Girotra K, Nave G, Terwiesch C, Ulrich KT (2023) Using large language models for idea generation in innovation. Preprint submitted August 2, http://dx.doi.org/10.2139/ssrn.4526071.Google Scholar
• Mikolov T, Chen K, Corrado G, Dean J (2013) Efficient estimation of word representations in vector space. Preprint, submitted January 16, https://arxiv.org/abs/1301.3781.Google Scholar
• Mollick ER, Mollick L (2022) New modes of learning enabled by AI chatbots: Three methods and assignments. Preprint, submitted December 23, http://dx.doi.org/10.2139/ssrn.4300783.Google Scholar
• Noy S, Zhang W (2023) Experimental evidence on the productivity effects of generative artificial intelligence. Science 381(6654):187–192.Crossref, Google Scholar
• OpenAI (2023) GPT-4 technical report. Preprint, submitted March 15, https://arxiv.org/abs/2303.08774.Google Scholar
• Pearl J (2009) Causality (Cambridge University Press, Cambridge, UK).Crossref, Google Scholar
• Peng S, Kalliamvakou E, Cihon P, Demirer M (2023) The impact of AI on developer productivity: Evidence from Github Copilot. Preprint, submitted February 23, https://arxiv.org/abs/2302.06590.Google Scholar
• Pillai SD, Goldfarb B, Kirsch D (2024) Lovely and likely: Using historical methods to improve inference to the best explanation in strategy. Strategic Management J. 45(8):1539–1566.Crossref, Google Scholar
• Sharda R, Barr SH, McDonnell JC (1988) Decision support system effectiveness: A review and an empirical test. Management Sci. 34(2):139–159.Link, Google Scholar
• Shengale R (2025) WhatsApp statistics 2025: Usage trends, demographics & more. Accessed May 18, 2025, https://wanotifier.com/whatsapp-statistics/.Google Scholar
• Sprague RH Jr (1980) A framework for the development of decision support systems. MIS Quart. 4(4):1–26.Crossref, Google Scholar
• Tao Y, Viberg O, Baker RS, Kizilcec RF (2024) Cultural bias and cultural alignment of large language models. PNAS Nexus 3(9):346.Google Scholar
• The World Bank Group (2018) Enterprise surveys: What businesses experience—Kenya 2018 country profile. Accessed May 18, 2025, https://www.enterprisesurveys.org/content/dam/enterprisesurveys/documents/country-profiles/Kenya-2018.pdf.Google Scholar
• Wiles E, Horton JJ (2025) Generative AI and labor market matching efficiency. Preprint, submitted April 15, http://dx.doi.org/10.2139/ssrn.5187344.Google Scholar