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Co-Intelligence: Living and Working with AI

A Wharton professor guides readers through the alien nature of Large Language Models, offering four principles for working alongside AI as a genuine co-intelligence rather than fearing or blindly trusting it.

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What it’s about

Co-Intelligence by Ethan Mollick is an essential, accessible guide for anyone trying to understand what generative AI actually is, what it can and cannot do, and how to live and work alongside it. Drawing on cutting-edge research, his own experiments, and real-world studies from consulting firms, law schools, and classrooms, Mollick explains how Large Language Models work, why they hallucinate, how they can be steered, and why their capabilities form a 'Jagged Frontier' that defies intuition. He lays out four practical principles for working with AI, then applies them across domains: AI as creative partner, coworker, tutor, and coach. Rather than offering apocalyptic warnings or naive techno-optimism, Mollick presents a grounded, research-backed framework for making meaningful choices about AI before those choices are made for us—arguing that the moment to engage seriously with this General Purpose Technology is right now.

The through-line

Who it’s for
A professional, educator, manager, student, or curious person who senses that AI is fundamentally important but feels overwhelmed, uncertain, and unsure how to engage with it productively or responsibly.
The problem
They lack a clear, practical framework for understanding what AI can and cannot do, how to integrate it into their work, and what choices they should be making right now. They feel anxious, left behind, or paralyzed—worried their job is threatened, their students are cheating, or that the technology is simply too alien and fast-moving to grasp.
The plan
  1. Understand what LLMs actually are—token-prediction engines trained on human text—so you stop expecting them to behave like software and start working with their actual nature.
  2. Adopt the four principles: always invite AI in, be the human in the loop, treat AI like a person with a defined persona, and assume current AI is the worst you will ever use.
  3. Map the Jagged Frontier in your own domain by experimenting relentlessly to discover where AI excels and where it fails for your specific tasks.
  4. Classify your tasks into Just Me, Delegated, and Automated categories, and begin working as a Centaur or Cyborg to integrate AI into your workflow.
  5. Apply these principles across your key roles—as a creative, coworker, learner, and coach—using the research-backed examples the book provides.
The payoff
You become a skilled Cyborg or Centaur who uses AI to eliminate tedious work, boost creative output, and perform at a level previously beyond your reach. · You are able to identify the Jagged Frontier in your domain, catch AI hallucinations, and remain the indispensable human in the loop. · Your organization moves from fearful, shadow AI use to open, incentivized, democratized AI adoption that captures real productivity gains.

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