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
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