Co-Intelligence
by Ethan Mollick
Ethan Mollick's guide to working effectively with AI systems like ChatGPT and Claude.
"Working with AI is not about prompts. It is about developing a new kind of literacy.".
Editorial Summary
Co-Intelligence by Ethan Mollick, a Wharton professor and AI researcher, explores how humans can collaborate productively with large language models like ChatGPT, GPT-4, and Claude rather than viewing them as replacements for human work. The book moves beyond hype to examine concrete strategies for prompt engineering, task delegation, and creative collaboration with AI systems, drawing on Mollick's extensive experimentation and research. Mollick argues that the key to AI's transformative potential lies not in the technology itself but in how humans learn to work alongside these systems as co-intelligence partners. Unlike many AI books that focus on either utopian futures or existential risks, this work is grounded in practical methodology and real-world applications, offering readers actionable frameworks for integrating generative AI into their professional and creative lives.
Perspective
"Co-Intelligence reads less like an AI book and more like a thoughtful colleague explaining what they've actually learned from months of daily experimentation with LLMs — Mollick's tone is the opposite of hype, grounded in what works and what doesn't. His distinctive contribution is treating AI collaboration as a skill to develop rather than a technology to adopt, with concrete frameworks for when to delegate, how to prompt, and how to stay critically engaged rather than passively accepting outputs. Professionals who want to integrate AI into their work without becoming either evangelists or skeptics will find this the most practically useful book available."
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