原文开头
Artificial intelligence has long been synonymous with predictive analytics — offering forecasts grounded in historical data and statistical inference. However, as we progress into 2026, the role of AI in future foresight is undergoing a fundamental transformation. Rather than presenting single-point forecasts, AI models are now designed to navigate expansive possibility spaces, generating a spectrum of alternative future scenarios. This evolution is critical for decision- makers who face a rapidly changing world characterized by complex, interdependent global challenges. It demands tools that do more than predict the most likely outcome; it requires AI systems capable of revealing hidden risks, identifying opportunities, and enabling resilient strategic planning. …
摘自《科技人工智能杂志》(Tech AI Magazine)2026年3月刊。仅引用开头一小段供了解文章,版权归原刊所有,全文请阅读原刊。