Fitkov-Norris, Elena and Kocheva, Nataliya (2025) Leveraging AI for strategic foresight : unveiling future horizons. In: Crawford, Megan M. and Wright, George, (eds.) Improving and enhancing scenario planning : futures thinking. Cheltenham, U.K. : Edward Elgar Publishing. pp. 285-304. ISBN 9781035310579

Abstract

This article explores how Artificial Intelligence (AI) can revolutionize strategic foresight, the systematic exploration of potential futures. The unparalleled pace of change necessitates robust foresight capabilities to navigate uncertainties and shape the future. Traditional foresight techniques, while valuable, can be limited by data processing and the challenge of modelling complex causal relationships the transformative influence of Artificial Intelligence (AI) in enhancing strategic foresight capabilities, guiding decision-makers through an ever-changing landscape to navigate uncertainties and shape the future. The chapter highlights the potential of emerging deep learning AI techniques, such as causal and Generative AI, to enhance traditional foresight approaches by bridging the gap between quantitative and qualitative foresight methods, addressing challenges such as expert bias and data reliability. Causal AI harnesses the power of causal inference to model complex causal relationships and mitigate observational bias in data, equipping decision-makers with robust tools for scenario building. Generative AI and LLMs on the other hand, offer promising capabilities for automated horizon scanning and scenario generation, although the need for human oversight remains Ultimately, AI could empower individuals and organizations to not only anticipate the future but actively shape it.

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