Thinking Fast and Slow in AI: The Role of Metacognition

The article argues that AI’s current strength in narrow, high-volume tasks is not enough for enterprise-grade intelligence, and that future systems need metacognition: a way to decide when to act quickly from experience versus when to slow down, reason, and search for better solutions. For CIOs and technology leaders, the strategic implication is that AI architectures should be designed with decision governance, world models, and self-awareness about system capabilities to improve reliability, adaptability, and trust in business-critical workflows.