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Submissions now open.
Expected Publication: Within one year of the submission deadline.
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Submission Deadline: May 1, 2025
Strategy Science invites submissions for a special issue on the role of artificial intelligence (AI) in strategic decision-making (SDM). As AI capabilities rapidly advance, particularly with the emergence of Large Language Models (LLMs), some question whether a paradigm shift will occur in how firms generate, evaluate, and implement strategies. This special issue aims to provide a foundational understanding of this potential transformation, including the possibilities, challenges, implications, and limitations that AI-augmented strategy may entail.
By exploring the fundamental question, “Can AI Do strategy?”, we hope this special issue will contribute to a deeper understanding of what precisely strategy is. Some of the deeper questions we aim to address include: Do AI and humans differ in their capacities for various forms and outcomes of strategic decision-making? What forms of complementarity exist between human and AI decision-making, and which structures for AI-augmented strategy are most productive? Is AI only useful in accessing the adjacent possible, or can it help build truly counterfactual future states? To what extent does strategy require imagination, experimentation, theorizing, and foresight? Can some of these tasks be automated? In comparing AI and human capacities for strategic decision-making, as well as productive avenues for integration, we hope papers help reveal the essence of effective strategizing.
We especially encourage submissions that:
- Provide empirical evidence on the effectiveness of AI in real-world strategic contexts.
- Develop theoretical frameworks for understanding AI’s role in strategy.
- Explore the implications of AI for strategy theory and practice.
- Critically examine the potential limitations and risks of AI in SDM.
For questions, please contact any of the special issue editors: Felipe Csaszar (fcsaszar@umich.edu), Gwendolyn Lee (gwendolyn.lee@warrington.ufl.edu), Peter Zemsky (peter.zemsky@insead.edu), or Todd Zenger (todd.zenger@utah.edu).
We look forward to your contributions to this exciting and transformative area of strategy research.