Co Intelligence Review – Learning to Work and Think with AI

How to think, work, and learn alongside Artificial Intelligence

1. Introduction

Hello dear friend, hope you’re doing well!

Welcome again to our lovely blog, How to Learn Machine Learning, your cozy space to explore Artificial Intelligence and how to learn it effectively.

From like a year back, every time we write a sentence in an article we’re thinking on the background: this this sound AIii? Will a person reading it think its been written by an LLM?

Today, we’re reviewing a great book which we read during summer and that speaks precisely about this fact, the co-creation and co-living (in the same flats but also in our brains) of Human and AIs.

Not a technical book at all, but rather for everyone to understand how to best live in the age of AI.

This book is Co-Intelligence: Living and Working with AI by Ethan Mollick — a guide not about fearing AI, but about partnering with it.

AI is everywhere — in our classrooms, offices, and homes — but few people explain how to actually use it well. Mollick does. So if you want to understand how to learn and work smarter with AI, you’re in the right place.

2. Review

What makes Co-Intelligence special is its detail, warmth, and optimism. Everything is fact covered and based on studies, not opnions.

Mollick doesn’t talk about AI as the end of work — he talks about it as the beginning of a new way of working.

He explains that AI is not our rival, but our collaborator — an “alien intelligence” we can learn from.

Throughout the book, he shows how people are already co-creating with AI: students writing better essays, professionals brainstorming new products, and educators redesigning lessons.

It’s smart, accessible, and full of personality — like having a brilliant professor sit down for coffee with you and just explain things clearly.

3. Content

Mollick structures the book around four “rules of co-intelligence” — and they’re worth remembering:

1. 💡 Invite AI to the table – Don’t avoid it; experiment, explore, and play.
2. 🧠 Be the human in the loop – Always apply human judgment and ethics.
3. 🤖 Treat AI like a person (but define its role) – Talk naturally; direct it with purpose.
4. 🚀 Assume this is the worst AI you’ll ever use – The tools will only get better.

He shows how AI can act as a tutor, coach, coworker, and creative partner, making it relevant for educators, learners, and entrepreneurs alike.

For readers of HowToLearnMachineLearning.com, this fits perfectly — it’s about how to learn with AI, not just about AI.

4. Summary

If you want to understand how AI can make you more creative, efficient, and curious, this is your next read.

Co-Intelligence is not a technical manual; it’s a mindset guide. It helps you build confidence, curiosity, and adaptability — exactly the traits needed to thrive in the AI era.

You can find it on Amazon for the best price here, please check it out 🙂

5. Quotes

“You are now a manager of an alien intelligence. It’s not alive, but it thinks — just not like you do.”

“The AI that you use today is the worst you will ever use.”

“Treating AI as a partner, rather than a tool, is the key to unlocking its potential.”

“Co-intelligence is not about machines replacing humans, but about humans learning to collaborate with machines.”

“AI doesn’t eliminate the need for human creativity — it amplifies it.”

Final Thoughts

If you’re excited about learning with AI instead of competing against it, this book is a must-read.

It’s friendly, full of wisdom, and deeply practical — perfect for lifelong learners, educators, and anyone curious about the next chapter in human-AI collaboration. The author is not actually a Data Scientist but speaks about it more from the business perspective.

Thanks for reading How to Learn Machine Learning!

If you enjoyed this review, share it with a friend, follow us on Twitter/X and keep exploring the future with us 🚀

Until next time — stay curious and keep learning 💪🤖