By now, you’ve probably heard that we’re entering a new era of AI—one in which large language models (LLMs) are increasingly central to strategic problem-solving. Yet there’s a critical piece often missing from the conversation: how these models reason about complex questions. Enter Chain-of-Thought (CoT), a technique that encourages AI systems to “think out loud” by explicitly generating each step of reasoning before delivering a conclusion. For business leaders grappling with big bets—from

By now, you’ve probably heard that we’re entering a new era of AI—one in which large language models (LLMs) are increasingly central to strategic problem-solving. Yet there’s a critical piece often missing from the conversation: how these models reason about complex questions. Enter Chain-of-Thought (CoT), a technique that encourages AI systems to “think out loud” by explicitly generating each step of reasoning before delivering a conclusion. For business leaders grappling with big bets—from