Co-Intelligence: Living and Working with AI is a 2024 nonfiction book by Ethan Mollick about how people can work productively alongside generative AI rather than treating it solely as a tool or a threat. Written for a broad audience, it became a New York Times bestseller and is widely discussed as an accessible introduction to practical AI adoption. 

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The book argues that AI should be approached as a form of “co-intelligence”—a collaborative partner that complements human judgment rather than replacing it. Mollick emphasizes experimentation because AI systems are often uneven in their capabilities, excelling at some tasks while failing at others. He also introduces four recurring principles: invite AI to the table, keep humans in the loop, interact with AI deliberately by assigning it roles, and assume today’s AI is the least capable version you’ll ever use. 

Across examples from work, education, creativity, and everyday problem-solving, Mollick explains how large language models can function as collaborators, tutors, coaches, and brainstorming partners. Rather than focusing on technical details, the book concentrates on practical habits, prompt design, and critical oversight, while also discussing AI’s limitations, including hallucinations, bias, and the need for human accountability. 

The book has generally been praised for making generative AI approachable without requiring a technical background. Reviewers often highlight its balanced perspective: it encourages active use of AI while acknowledging uncertainty, ethical concerns, and the importance of maintaining human agency. Because it was published during the rapid expansion of generative AI tools, it has become a frequently recommended starting point for business leaders, educators, students, and knowledge workers seeking a practical framework for AI adoption. 

Mollick’s ideas in Co-Intelligence are closely connected to his research and writing on AI in education, entrepreneurship, and organizational change. Many of the themes in the book—such as AI as a tutor, teammate, and coach—also appear in his academic work on integrating generative AI into teaching and professional practice.