Can AI Do Strategy?

References

• Acemoglu D (2025) The simple macroeconomics of AI. Econom. Policy 40(121):13–58.Crossref, Google Scholar
• Allen R, McDonald R (2026) How well can AI do strategy? Empirical benchmarking using strategy simulations. Strategy Science (this issue).Link, Google Scholar
• Andrews KR (1971) The Concept of Corporate Strategy (Dow Jones-Irwin, Homewood, IL).Google Scholar
• Ansoff HI (1965) Corporate Strategy (McGraw-Hill, New York).Google Scholar
• Barney J (1991) Firm resources and sustained competitive advantage. J. Management 17(1):99–120.Crossref, Google Scholar
• Bettis RA, Ethiraj S, Gambardella A, Helfat C, Mitchell W (2016) Creating repeatable cumulative knowledge in strategic management: A call for a broad and deep conversation among authors, referees, and editors. Strategic Management J. 37(2):257–261.Crossref, 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.Link, Google Scholar
• Camuffo A, Kazemi S, Pandey A (2026) Beyond black boxes: Designing and testing agentic AI systems for strategy. Strategy Science (this issue).Link, Google Scholar
• Chatterji A, Csaszar FA, Evans J, Felin T, Hullman J, Lakhani K, Sako M (2026) Can AI do strategy: A dialogue and debate. Strategy Science (this issue).Google Scholar
• Chandler AD Jr (1962) Strategy and Structure (MIT Press, Cambridge, MA).Google Scholar
• Csaszar FA (2018) What makes a decision strategic? Strategic representations. Strategy Sci. 3(4):606–619.Link, Google Scholar
• Csaszar FA (2025) Unbounding rationality: Why AI is a fundamental issue for strategy. Preprint, submitted September 8, https://doi.org/10.2139/ssrn. 5454634.Google Scholar
• Csaszar FA, Laureiro-Martínez D (2018) Individual and organizational antecedents of strategic foresight: A representational approach. Strategy Sci. 3(3):513–532.Link, Google Scholar
• Csaszar FA, Ostler J (2020) A contingency theory of representational complexity in organizations. Organ. Sci. 31(5):1198–1219.Link, Google Scholar
• Csaszar FA, Steinberger T (2022) Organizations as artificial intelligences: The use of artificial intelligence analogies in organization theory. Acad. Management Ann. 16(1):1–37.Crossref, Google Scholar
• Csaszar FA, Ketkar H, Kim H (2024) Artificial intelligence and strategic decision-making: Evidence from entrepreneurs and investors. Strategy Sci. 9(4):322–345.Link, Google Scholar
• Dell’Acqua F, McFowland E, Mollick E, Lifshitz-Assaf H, Kellogg KC, Rajendran S, Krayer L, Candelon KR, Lakhani K (2023) Navigating the jagged technological frontier: Field experimental evidence of the effects of AI on knowledge worker productivity and quality. Working Paper No. 24-013, Harvard Business School, Cambridge, MA.Google Scholar
• Doshi AR, Bell JJ, Mirzayev E, Vanneste BS (2025) Generative artificial intelligence and evaluating strategic decisions. Strategic Management J. 46(3):583–610.Crossref, Google Scholar
• Felin T, Zenger TR (2017) The theory-based view: Economic actors as theorists. Strategy Sci. 2(4):258–271.Link, Google Scholar
• Felin T, Holweg M. (2024) Theory is all you need: AI, human cognition, and causal reasoning. Strategy Sci. 9(4):346–371.Link, Google Scholar
• Gavetti G, Levinthal DA, Rivkin JW (2005) Strategy making in novel and complex worlds: The power of analogy. Strategic Management J. 26(8):691–712.Crossref, Google Scholar
• Kanis T, Mann J, Stumpf-Wollersheim J (2026) AI-augmented strategic decision-making under time constraints: An experimental study on mental representations and strategic foresight. Strategy Science (this issue).Link, Google Scholar
• Kumar S, Qu X, Tong T (2026) The role of predictions in acquisition decision-making: The strategic value of AI-driven foresight. Strategy Science (this issue).Google Scholar
• Krakowski S, Luger J, Raisch S (2023) Artificial intelligence and the changing sources of competitive advantage. Strategic Management J. 44(6):1425–1452.Crossref, Google Scholar
• Lee GK (2024) Transportability analysis: How methods from the fields of machine learning and artificial intelligence can be useful to management research and cumulative theory testing. J. Management Sci. Rep. 2(2):179–197.Google Scholar
• Lee GK (2026) Governance of artificial intelligence: Public policy and self-regulatory frameworks for consequential decision-making. Csaszar FA, Jia N, eds. Handbook of Artificial Intelligence and Strategy (Edward Elgar Publishing, Cheltenham, UK), 378–387.Crossref, Google Scholar
• Lee GK, Bettis R (2023) Structural causal modeling of managerial interventions: What if managers had not intervened by doing this? Strategy Sci. 8(1):24–43.Link, Google Scholar
• McBride R (2026) Mean articulation machines. Strategy Science (this issue).Link, Google Scholar
• Moore RK (2005) Results from a survey of attendees at ASRU 1997 and 2003. Proc. Interspeech, https://www.isca-archive.org/interspeech_2005/moore05_interspeech.pdf.Crossref, Google Scholar
• Moravec H (1988) Mind Children: The Future of Robot and Human Intelligence (Harvard University Press, Cambridge, MA).Google Scholar
• Neshenko N, Ryall M (2026) When AI does strategy: Learning, good times, lock-in, and human-driven strategic renewal. Strategy Science (this issue).Link, Google Scholar
• Nickerson JA, Zenger TR (2004) A knowledge-based theory of the firm—The problem-solving perspective. Organ. Sci. 15(6):617–632.Link, Google Scholar
• OpenAI (2025) Announcing OpenAI Pioneers program (April 9), https://openai.com/index/openai-pioneers-program/.Google Scholar
• Pearl J (2000) Causality: Models, Reasoning, and Inference, 2nd ed. (Cambridge University Press, New York).Google Scholar
• Pearl J (2021) Radical empiricism and machine learning research. J. Causal Inference 9(1):78–82.Crossref, Google Scholar
• Porter ME (1980) Competitive Strategy (Free Press, New York).Google Scholar
• Porter ME, ed. (1986) Competition in Global Industries (Harvard Business School Press, Boston, MA).Google Scholar
• Porter ME (1990) New global strategies for competitive advantage. Planning Rev. 18(3): 4–14.Crossref, Google Scholar
• Porter ME (1996) What is strategy? Harvard Bus. Rev. 74(6):61–78.Google Scholar
• Rumelt RP (2011) Good Strategy/Bad Strategy: The Difference and Why It Matters (Crown Business, New York).Google Scholar
• Sen P, Workiewicz M, Puranam P (2026) Can LLMs aid analogical reasoning for strategic decisions? A comparative study. Strategy Science (this issue).Link, Google Scholar
• Shaver JM (2020) Causal identification through a cumulative body of research in the study of strategy and organizations. J. Management 46(7):1244–1256.Crossref, Google Scholar
• Shmueli G (2010) To explain or to predict? Statist. Sci. 25(3):289–310.Crossref, Google Scholar
• Simon HA (1969) The Sciences of the Artificial (MIT Press, Cambridge, MA).Google Scholar
• Simon HA (1993) Strategy and organizational evolution. Strategic Management J. 14(S2):131–142.Crossref, Google Scholar
• Song P, Han P, Goodman N (2026) Large language models reasoning failures. Trans. Machine Learn. Res. Forthcoming.Google Scholar
• Sutton R (2019) The bitter lesson (March 13), http://www.incompleteideas.net/IncIdeas/BitterLesson.html.Google Scholar
• Teece DJ (2018) Business models and dynamic capabilities. Long Range Planning 51(1):40–49.Crossref, Google Scholar
• UC Berkeley SkyLab (2025) Hello from LMArena: The community platform for exploring frontier AI (June 23), https://arena.ai/blog/hello-from-lmarena/.Google Scholar
• Van den Steen E (2018) The strategy in competitive interactions. Strategy Sci. 3(4):574–591.Link, Google Scholar
• Yang MJ, Felin T, Zenger T (2026) Patchwork, misattention, and pandering: Theory and evidence on (generative) AI biases in strategy. Working paper, University of Colorado, Boulder.Google Scholar
• Zott C, Amit R (2010) Business model design: An activity system perspective. Long Range Planning 43(2–3):216–226.Crossref, Google Scholar