Showing posts with label Ethan Mollick. Show all posts
Showing posts with label Ethan Mollick. Show all posts

Monday, February 2, 2026

Ethan Mollick: Co-intelligence -Living and Working with AI (2024)

The book is written by Ethan Mollick, a leading expert on AI from Wharton University. The book is a relatively short read, written as a practical and optimistic guide to understanding and working with generative AI. The author focuses on how AI can work with us humans: instead of seeing AI as a threat or a distant future risk, Mollick argues that AI should be seen as a collaborative partner (“co-intelligence”) that can enhance human creativity, productivity, and learning. 
The book explains how large language models work, why they matter, and introduces key principles for how people can work with AI:
Always invite AI to the table: Even when you think it won’t help, try it. AI often adds unexpected value — ideas, structure, alternatives, or speed, and it can help you in terms of developing ideas.

  • Be the human in the loop: No matter how you use it, you are the boss. Humans must set goals, context, and judgment. AI supports decisions; it should never silently make them.
  • Treat AI like a person (but tell it what kind of person it is): He says that while not anthropomorphizing AI, the richest interaction is when you start treating it as a human. In this interaction you will develop how to to prompt. Asking good questions, giving examples, and refining instructions is now a core skill.
  • Assume this is the worst AI you will ever use: Never fully trust AI, as it can sound confident but still be wrong. Treat it as a brilliant but unreliable collaborator. Verify facts and logic, but keep experimenting and challenging it.

All in all, Mollick is an optimist about how we are able to use AI in our everyday life, and I have personally started using some of his principles as I experiment with an AI assistant in many everyday tasks, impressed by the technology, but always keeping in my head that it can and should not replace human judgment.
The book is strong as a guideline for everyday use, but not on the societal impact of AI. Although implicitly Mollick is an optimist, he fails to address issues such as unequal access, the impact on jobs (he is clearly of the view that it will not displace jobs for humans, but create new necessities), market concentration, and how AI may come to affect identities and cultures as well as the possible erosion of human enterprise.
It is a good quick read, specially if you want to start experimenting with AI in your everyday life, but it should not stand alone, in particularly on debate on the social impact of AI.