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AI-Enhanced Strategic Foresight

Xolmirzayev Furqatbek MuxtarjonovichAlfraganus University, Тоshkent, UzbekistanDilnoza ButanovaR. N. RavikumarMarwadi University, Rajkot, IndiaAbdusamatov AlisherTermez University of Economics and Service, Termez, UzbekistanS. AarthiMarwadi University, Rajkot, IndiaChristo GeorgeDayananda Sagar College of Engineering, Bengaluru, India
2026ng
ABI

Abstract

The rapid evolution of the digital economy is transforming industries, governance, and societies, presenting both unprecedented opportunities and sustainability challenges. This chapter explores how Artificial Intelligence can enhance strategic foresight by bridging gaps in decision-making under uncertainty. Traditional foresight methods often fail to capture the complexity and pace of digital disruption, climate risks, and socio-economic shifts. AI-driven tools such as machine learning, predictive analytics, and natural language processing enable the detection of weak signals, risk forecasting, and scenario modeling. Case studies in sustainable finance and renewable energy illustrate how AI-backed foresight improves resource efficiency, anticipates market volatility, and strengthens climate resilience. Ethical considerations, including transparency, bias, and inclusivity, are discussed alongside hybrid models combining human judgment with AI intelligence. The chapter concludes that AI-enhanced foresight is a transformative capability that advances sustainable digital economies.

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