AI in Strategic Foresight 2025

Page 19 of 22 · WEF_AI_in_Strategic_Foresight_2025.pdf

Maintaining and enhancing human expertise: The findings present a key dilemma for the profession: while AI can enhance productivity, there is a risk of “deskilling” or over-reliance on the tools with significant limitations. AI’s ability to provide existing knowledge rather than forward- looking perspectives means that human foresight expertise may be more critical than ever to identify unknown, low-probability signals and potential disruptions. Taken together, these findings suggest that AI is becoming both a catalyst and a capability test for strategic foresight itself. As governments and businesses depend on foresight to navigate uncertainty, the uneven distribution of AI skills – particularly the public sector’s relative lack of confidence compared to industry – signals a widening gap in anticipatory capacity. The integration of AI into strategic foresight is not a technical problem to be solved but a strategic transformation to be managed. The path forward requires deliberate investment in human and technological capabilities, robust governance to ensure trustworthiness, and a culture of continuous experimentation. By taking these steps, governments and businesses can ensure that AI becomes a powerful enabler of more resilient, creative and insightful decision-making – strengthening their ability to navigate uncertainty and shape the future with confidence. AI in Strategic Foresight: Reshaping Anticipatory Governance 19
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