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Co-Intelligence: Living and Working with AI Hardcover – April 2, 2024

by Ethan Mollick (Author)

#1 Best Seller in Robotics & Automation

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AN INSTANT NEW YORK TIMES BESTSELLER

From Wharton professor and author of the popular One Useful Thing Substack newsletter Ethan Mollick comes the definitive playbook for working, learning, and living in the new age of AI

Something new entered our world in November 2022 — the first general purpose AI that could pass for a human and do the kinds of creative, innovative work that only humans could do previously. Wharton professor Ethan Mollick immediately understood what ChatGPT meant: after millions of years on our own, humans had developed a kind of co-intelligence that could augment, or even replace, human thinking. Through his writing, speaking, and teaching, Mollick has become one of the most prominent and provocative explainers of AI, focusing on the practical aspects of how these new tools for thought can transform our world.

In Co-Intelligence, Mollick urges us to engage with AI as co-worker, co-teacher, and coach. He assesses its profound impact on business and education, using dozens of real-time examples of AI in action. Co-Intelligence shows what it means to think and work together with smart machines, and why it's imperative that we master that skill.

Mollick challenges us to utilize AI's enormous power without losing our identity, to learn from it without being misled, and to harness its gifts to create a better human future. Wide ranging, hugely thought-provoking, optimistic, and lucid, Co-Intelligence reveals the promise and power of this new era.

Editorial Reviews

Review

"[Co-Intelligence] is a solid explainer. Convincing…a blueprint…smart and well informed…"
— The Wall Street Journal

"A sharp and good-humoured guide to how to make the most of generative AI. Mollick follows his own prescription for success, 'inviting AI to the table' and running his own experiements into its creative and problem-solving potential."
- Andrew Hill, The Financial Times

"Generative AI has an oracle, and his name is Ethan Mollick. Lucky you: our oracle has written a lucid, succinct, and eminently practical guide to navigating the revolution that is right now unfolding at an astonishing pace. Co-Intelligence is the very best book I know about the ins, outs, and ethics of generative AI. Drop everything and read it cover to cover NOW."
— Angela Duckworth, New York Times bestselling author of Grit

"Ethan Mollick has been a leader with the hands-on exploration of AI's evolving capabilities. In Co-Intelligence, he masterfully navigates the landscape of AI advancements with insightful and informative commmentary, presented with remarkable clarity and precision. This book is an invaluable resource, offering a comprehensive gide to current trends and future expectations in AI. I wholeheartedly recommend it to anyone looking to deepen their understanding of this rapidly evolving technology."
— Eric Horvitz, Chief Scientific Officer, Microsoft

“In today’s cacophony of ‘AI hot takes’, Mollick has distinguished himself as the leading voice of reason on the implications of AI for work and education. Anyone seeking a basis of practical knowledge to understand the coming massive changes should read this insightful book right now."
— Reid Hoffman, Co-Founder of LinkedIn and Inflection AI

"Co-Intelligence brilliantly captures the essence of our evolving relationship with AI. With lucid explanations and useful examples, Mollick shows how we can enlist this technology's astonishing power to build a more intelligent and humane future."
— Daniel H. Pink, New York Times bestselling author of The Power of Regret, Drive, and A Whole New Mind

“Embark on a transformative journey with Co-Intelligence, Ethan Mollick’s page-turning must-read for those at the helm. Mollick’s work will help CEOs and leaders harness AI’s enormous potential as a catalyst for elevating the capabilities of any team and any organization. Brilliant, authoritative, and educational.”
— Jim M. Citrin, Leader, Spencer Stuart CEO & Board Practice, author of You’re in Charge, Now What? and The 5 Patterns of Extraordinary Careers

About the Author

Ethan Mollick is a professor of management at Wharton, specializing in entrepreneurship and innovation. His research has been featured in various publications, including Forbes, The New York Times, and The Wall Street Journal. He is the creator of numerous educational games on a variety of topics. He lives and teaches in Philadelphia, Pennsylvania.

Excerpt. © Reprinted by permission. All rights reserved.

INTRODUCTION: Three Sleepless Nights

I believe the cost of getting to know AI—really getting to know AI—is at least three sleepless nights.

After a few hours of using generative AI systems, there will come a moment when you realize that Large Language Models (LLMs), the new form of AI that powers services like ChatGPT, don’t act like you expect a computer to act. Instead, they act more like a person. It dawns on you that you are interacting with something new, something alien, and that things are about to change. You stay up, equal parts excited and nervous, wondering: What will my job be like? What job will my kids be able to do? Is this thing thinking? You go back to your computer in the middle of the night and make seemingly impossible requests, only to see the AI fulfill them. You realize the world has changed in fundamental ways and that nobody can really tell you what the future will look like.

Though I am not a computer scientist, I am an academic studying innovation who has long been involved in work on the applications of AI, especially for learning. Over the years, AI has promised much more than it has delivered. For decades, AI research has always seemed to be on the edge of a massive breakthrough, but most practical uses, from self-driving cars to personalized tutoring, always advanced grindingly slowly. During this time, I kept experimenting with AI tools, including OpenAI’s GPT models, figuring out ways to incorporate them into my work, and assigning my students to use AI in class. So my sleepless nights came early, just after the release of ChatGPT in November 2022.

After only a couple of hours, it was clear that something huge had shifted between previous iterations of GPT and this new one. Four days after the AI was launched, I decided to demonstrate this new tool to my undergraduate entrepreneurship class. Barely anyone had heard of it. In front of my students, I put on a show, demonstrating how AI can help generate ideas, write business plans, turn those business plans into poems (not that there is a lot of demand for that), and generally fill the role of company cofounder. By the end of the class, one of my students, Kirill Naumov, had created a working demo for his entrepreneurship project—a Harry Potter–inspired moving picture frame that reacted to people walking near it—using a code library he had never used before, in less than half the time it would otherwise have taken. He had venture capital scouts reaching out to him by the end of the next day.

Within two days of introducing students to AI, several told me they used ChatGPT to explain confusing concepts to them “like they were ten years old.” They stopped raising their hands as much—why expose themselves in class when they could just ask the AI later? And every essay was suddenly written with perfect grammar (though references were often wrong and the final paragraph tended to start with “In conclusion”—a telltale sign of early ChatGPT writing, since fixed). But the students weren’t just excited, they were nervous. They wanted to know the future.

Some of them asked me what it means for their preferred careers (“Should I become a radiologist if AI can do a lot of the work?” “Will writing marketing copy still be a good job five years from now?”). Others asked when this technological development would stop, or if it would stop. Someone even asked if Artificial General Intelligence (AGI), the hypothetical machine that would be smarter than a human, might arrive before graduation.

I didn’t have any answers then (though I have a few more now), yet I recognized that I wasn’t immune to these changes. So I decided to get hands- on and put the AI through its paces. Much of my work over the past five years has been building simulations that teach business skills. It has taken tremendous investment from my university, and the efforts of a dozen talented people, to build these elaborate digital experiences. After thousands of hours, the games were great: using thousands of lines of code, we could do elaborate learning simulations that helped teach skills like negotiation.

But I decided to type something into ChatGPT: You will be my negotiation teacher. You will simulate a detailed scenario in which I have to engage in a negotiation. You will fill the role of one party, I will fill the role of the other. You will ask for my response in each step of the scenario and wait until you receive it. After getting my response, you will give me details of what the other party does and says. You will grade my response and give me detailed feedback about what to do better using the science of negotiation. You will give me a harder scenario if I do well, and an easier one if I fail.

ChatGPT wrote back: Sure, I’d be happy to help you practice negotiations through a simulation exercise! Let’s start with a simple scenario. You are a salesperson trying to sell 100 pens to a customer. The pens are usually $1, but the customer is trying to negotiate the price down. The customer starts by offering to buy the pens for $0.50 each. How do you respond?

And it proceeded to take me through an entire simulation that, while not perfect, did 80 percent of what took our team months to do. Based on just a paragraph-long prompt from me!

My sleepless nights began.

And to be honest, they haven’t ended. Every week, it seems like AI serves up a new miracle—or a new concerning development. I soon found myself arguing with a chatbot that accused me of being unethical when I asked it to help me write computer code. I discovered that I could create beautiful images by giving the right words to a machine. I could code in Python, a language I never learned. I discovered that a machine could do large amounts of my job . . . and maybe lots of other people’s jobs. I discovered something remarkably close to an alien cointelligence, one that can interact well with humans, without being human or, indeed, sentient. I think we will all have our three sleepless nights soon.

And sleep-deprived as I now am, I keep going back to my students’ questions: What does this technology mean for the future of work and education? Things are happening so quickly that it is hard to be sure, but we can begin to see its outlines. AI is what those of us who study technology call a General Purpose Technology (ironically, also abbreviated GPT). These advances are once- in- a- generation technologies, like steam power or the internet, that touch every industry and every aspect of life. And, in some ways, generative AI might even be bigger... Where previous technological revolutions often targeted more mechanical and repetitive work, AI works, in many ways, as a co- intelligence. It augments, or potentially replaces, human thinking to dramatic results.... And all of this ignores the larger issue, the alien in the room. We have created something that has convinced many smart people that it is, in some way, the spark of a new form of intelligence. An AI that has blown through both the Turing Test (Can a computer fool a human into thinking it is human?) and the Lovelace Test (Can a computer fool a human on creative tasks?) within a month of its invention, an AI that aces our hardest exams, from the bar exam to the neurosurgery qualifying test. An AI that maxes out our best measures for human creativity and our best tests for sentience. Even weirder, it is not entirely clear why the AI can do all these things, even though we built the system and understand how it technically works.

No one really knows where this is all heading, including me. Yet, despite not having definitive answers, I think I can be a useful guide. I have found myself to be an influential voice on the implications of AI, particularly through my newsletter, One Useful Thing, even though I am not a computer scientist myself. Indeed, I think that one of my advantages in understanding AI is that, as a professor at Wharton, I have long studied and written about how technologies are used. As a result, my coauthors and I have published some of the first research on AI in education and in business, and we have been experimenting with practical uses of AI in ways that major AI companies have cited as examples. I regularly speak with organizations, companies, and government agencies, as well as with many AI experts, to understand the world we are making. I also attempt to keep up with the flood of research in the field, much of it in the form of scientific working papers that have not yet gone through the long process of peer review but still offer valuable data about this new phenomenon (I will be citing a lot of this early work in the book to help fill in the picture of where we are headed, but it is important to realize that the field is evolving rapidly). Based on all these conversations and papers, I can assure you that there is nobody who has the complete picture of what AI means, and even the people making and using these systems do not understand their full implications.

So I want to try to take you on a tour of AI as a new thing in the world, a co-intelligence, with all the ambiguity that the term implies. We have invented technologies, from axes to helicopters, that boost our physical capabilities; and others, like spreadsheets, that automate complex tasks; but we have never built a generally applicable technology that can boost our intelligence. Now humans have access to a tool that can emulate how we think and write, acting as a co-intelligence to improve (or replace) our work. But many of the companies developing AI are going further, hoping to create a sentient machine, a truly new form of co- intelligence that would coexist with us on Earth. To get a handle on what this means, we need to start from the beginning, with a very basic question: What is AI?

So we are going to start there, discussing the technology of Large Language Models. That will give us a basis for thinking about how we, as humans, can best work with these systems. After that, we can dive into how AI can change our lives by acting as a coworker, a teacher, an expert, and even a companion. Finally, we can turn to what this might mean for us, and what it means to think together with an alien mind.

Product details

Publisher ‏ : ‎ Portfolio
Publication date ‏ : ‎ April 2, 2024
Language ‏ : ‎ English
Print length ‏ : ‎ 256 pages
ISBN-10 ‏ : ‎ 059371671X
ISBN-13 ‏ : ‎ 978-0593716717
Item Weight ‏ : ‎ 12.8 ounces
Dimensions ‏ : ‎ 5.72 x 0.91 x 8.52 inches
Best Sellers Rank: #1,300 in Books (See Top 100 in Books)
- #1 in Robotics & Automation (Books)
- #3 in Artificial Intelligence & Semantics
- #4 in Computers & Technology Industry

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Ethan Mollick

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Ethan Mollick is an associate professor at the Wharton School of the University of Pennsylvania, where he studies and teaches innovation and entrepreneurship. He is also author of The Unicorn's Shadow: Combating the Dangerous Myths that Hold Back Startups, Founders, and Investors. His papers have been published in top management journals and have won multiple awards. His work on crowdfunding is the most cited article in management published in the last five years.

Prior to his time in academia, Ethan cofounded a startup company, and he currently advises a number of startups and organizations. As the academic director and cofounder of Wharton Interactive, he works to transform entrepreneurship education using games and simulations. He has long had interest in using games for teaching, and he coauthored a book on the intersection between video games and business that was named one of the American Library Association’s top 10 business books of the year. He has built numerous teaching games, which are used by tens of thousands of students around the world.

Mollick received his PhD and MBA from MIT’s Sloan School of Management and his bachelor’s degree from Harvard University, magna cum laude.

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Must-read for any worker concerned about AI - and any worker not concerned, should be
Reviewed in the United States on April 10, 2024
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The first half is more destined to those who have yet to use generative AI on a regular basis – in all probability a shrinking crowd. Anyone who interacted with ChatGPT 3.5 and then 4 will have similar anecdotes. And while certainly useful, I found Ethan’s four principles to mix rules of thumb with prompting techniques and more general observations.
Part two I personally found of much greater interest, as Ethan delves into the implications for workers, demonstrating how they can learn to use AI to great effect, e.g. in creative work. Ethan dives deep into how gen-AI can produce efficiencies and superior results, but also lead to disaster if users get too comfy and “fall asleep at the wheel”. While several studies and research papers exist on these topics, it’s one of the first books that explains these concepts to laymen. It’s also enjoying to see him, rather than trying to dissect office jobs he may not be familiar with, instead humbly take himself as a guinea pig to explain in great minutiae how he wields this revolutionary tool in his work, at times using the very paragraphs we read as examples.
I found in several occasions echoes of my own book, e.g. when Ethan insists on how technology cannot be treated in a vat but goes hand in hand with frameworks and trends, thus how the way corporations have work organized is likely to change in serious ways, as it did in previous industrial revolutions. He too does not fall for the fallacy that because certain tasks in a job cannot be automated, the job is immune to disruption. He too notes the risks associated with a greater deployment of metrics and the diktat of data, what others have called “Digital Taylorism”, and alludes to what I termed being “pushed off of the sumo ring of cognition” by an AI that calls the shots.
He also takes a lucid and pragmatic approach to how such disruptive technology will be deployed in the workforce, detailing how employees use it covertly out of fear that their managers find out, though less convincing are his recommendations to leaders on how to instill a pro Gen-AI culture in the company – a pity given how this is fast becoming a concern for managers. A few other considerations also went neglected, like how those companies that fail to adapt will quickly fall behind those that do. But I feel this is also because he is primarily addressing employees, and that is nice to see in contrast to all the books guiding managers.
My favorite is his insistence that AI is proving most beneficial to juniors, who can boost their performance level to the vicinity of veterans; rather than concluding in the lines that “See, this is a great enhancement tool, not something that will eliminate jobs - so don't be afraid!”, or “it’s not AI that will displace workers, but the workers who master AI that will displace those who don’t” as the majority of so-called experts yell and parrot from every hilltop, he questions what implications this might have for seasoned workers, for those whose expertise becomes somewhat eroded and may no longer justify their wages. Following what I called the commoditization effect, AI could become a great equalizer, but (Duh!!) overall this will drag wages down. He notes how now some companies hire fresh graduates for jobs there where they used to hire people with at least five years of experience, because they can do practically just as well now with the help of AI.
Alas he also rightly note that expertise will still play a role, with solid arguments. But he dares not venture say how much of this expertise will still be required and how this will reshape companies - indeed, only time will tell. We could end up with a split of say 80% of juniors – or rather people paid with junior salaries – and only 20% of experts there where we had a more balanced split before, and such junior talent could be outsourced instead of employed, etc.
I pass on the final chapters on education and the future of AI, not for lack of interest but to avoid too long a commentary. Also great observations, for instance on how a future AI-mentor would be superior both for providing more constant feedback but also in its ability to take on several different roles (as opposed to the subjectivity of a single human coach, teacher or mentor). And here again there is the risk of overdependence, for instance (with his example of architect) consulting the AI on every single stroke.
All in all, a very good read that remains concise and echoes some of my concerns which I believe will only balloon with time as organizations reshape work.

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Jeffrey L
Primer for understanding AI
Reviewed in the United States on April 7, 2024
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Just finished reading Co-Intelligence by Ethan Mollick. In many ways it is an introductory 'primer' on AI (artificial intelligence).

Written by Ethan Mollick, a professor at Wharton, it explores what AI is, how we can utilize is as a 'co-intelligence' and what the future might look like with AI.

As someone who has used ChatGPT and other tools, but did not have much understanding of how they work, the book provided that background. On the other hand, I found it lacking in the depth and creativity I hoped for in exploring what a future world with AI might look like.

Some insights from the book:
- AI is built on Large-Language Models (LLM's). These models have huge datasets at their core. By using this information, it can generate responses by predicting (and displaying) the word that is most likely to come next as a response to a prompt (and as a response to what it has already generated. The association between words are called 'weights' and these are adjusted based on the frequency and association between terms (if I have understood this correctly.)
- Because of the way that LLM's are built, the biases that we have as humans will get translated into AI. AI tools have a stage called Reinforced Learning from Human Feedback (RLHF) which is a process by which humans look to remove the bias. (Of course, this introduces another source of bias, but is important in ensuring that AI does not become a mirror of the uglier parts of ourselves which often manifest online and in other places which may be sources of data for AI.)
- This process means that unlike other areas of technological development, AI finds it harder to be consistent and structured and instead seems to be actively creative. An analogy which is not found in a book, but which seems apropos was the shift in computer graphics from Euclidian Geometry to Fractal Geometry as the basis of graphics.
- Mollick notes that the nature of AI makes it extremely difficult to predict exactly what it will be great at and what it will not. It also means that AI will include mistakes and fabrications without any self-awareness that it is doing so.
- Mollick believes we are better for 'inviting AI to the table' while maintaining human involvement (you can get great results by working with AI, and poorer results [at least today] from handing over tasks to AI without oversight. He recommends viewing AI as a person in the sense that AI will be quirky and unpredictable. He also notes that whatever AI you are using today will likely be the worse than any version you ever use in the future as the technology continues to develop.
- In the book Mollick shows how to use AI (engage with it, provide it with specific instructions "Give me a Mexican recipe that takes under 20 minutes to make using ingredients X, Y and Z [items in my fridge] and can be done by a 12 year-old without any instruments that would potentially be dangerous [like blender's etc]." He recommends breaking down problems into steps (a process you can ask AI to assist etc.)
- Mollick is generally pretty optimistic about AI. He points to studies that show that it helps people who struggle in areas to elevate themselves and believes it may help resolve income inequality etc.
- Mollick mentions, but in my opinion does not give enough attention to potential issues. He notes that people often hand off tasks to AI without engaging mentally and we are in real trouble if we take another step back in critical thinking (in my opinion). He does not focus on the ways that AI could easily exacerbate income inequality as those with money put guardrails around the best tools etc. He also does give almost any focus on the way that AI can spit out endless content in little time and in the hands of bad actors, can take our current issues with fakenews, and make it 1000x worse very quickly.
- Mollick notes that practical changes occur within systems and the changes we are talking about need to contend with the structures (economic, social, political etc) which currently exist. This reminds me of Kuhn's descriptions of changes and the slow pace of the Copernican Revolution, in part because it bumped into theological systems.
- As I noted above, I felt like Mollick did not spend nearly enough time exploring the issues that could easily arise from AI. What happens in a world where there is endless content being generated and no clarity on the legitimacy of it? Does it lead to additional conflict? How does it play a role in elections, campaigns etc.? Is additional government regulation generated to crack down? A social media platform exclusive to non-AI where you have to validate everything you are writing (somehow)? Influencers with "Real Human - no AI content" badges? What about Human-Reviewed AI Content? Is there a reason that is a bad thing?

All in all, I think that AI is likely to have a dramatic impact on the world of the future. This book is a good intro. In all likelihood large aspects of it will become outdated rather quickly. And I wish it had done some more deep thinking about the future. It feels like just a shallow exploration.

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Zen Mama
Brilliant framework for understanding AI
Reviewed in the United States on June 7, 2025
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As a VP of Growth I want to stay ahead of AI trends. This book is so well written. He is the definitive authority on understanding AI from a big picture and "historical" lenses . I would highly recommend reading this and then reading some more tactical material for a robust understanding.

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Sophia
Good Read
Reviewed in the United States on May 28, 2025
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"Co-Intelligence: Living and Working with AI" offers a really insightful look into navigating the evolving landscape of artificial intelligence. The book does a great job of moving beyond the typical hype or fear, instead focusing on how we can effectively collaborate with AI to enhance our work and lives. It's thought-provoking and practical, providing a balanced perspective on integrating AI into our daily routines. If you're looking for a grounded and optimistic guide to the future of human-AI partnership, this is definitely worth a read.

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Pst Sc Wheeler
simple and profound!
Reviewed in the United States on July 6, 2025
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Thank you, Doctor Ethan Mollick.
I only wish I had read this book 2 years ago when it first published. Nonetheless, I feel jettisoned in my understanding and thrilled to use AI as co-intelligence into my future. Thank you.
(no AI was used in this review)

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D. Rapp
excellent summary perspective
Reviewed in the United States on August 5, 2025
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Excellent instruction on how to have the proper relationship with AI. Having worked with a couple of AI engines extensively over the last few months, I find Ethan Mollick’s encounters to be consistent with mine and his approaches sound. If AI was better integrated into Amazon’s customer facing systems, AI would have co-authored this review.

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Andrew C.
A must read for those teaching in Business Education
Reviewed in Australia on April 14, 2024
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Ethan Mollick knows his stuff. He has been researching AI for several years and has the ability to explain the issues clearly and succinctly. There is also just enough practical advice here that this is a must read for those working in higher education. More so, he has clear reasoning behind his many arguments as to why we must dive into using AI. Highly recommended for academics, educational developers, administrative staff and anyone working in a business school.

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GoDalb
A lire sans hésiter.
Reviewed in France on March 25, 2025
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Très intéressant.
Un livre qui permet de comprendre comment utiliser cet "Alien" qui va nous accompagner dorénavant.

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Leonardo Demurtas
A Must-Read for Anyone Serious About AI!
Reviewed in Italy on February 28, 2025
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This book is one of the most fascinating reads I’ve come across in the last five years. It cuts through the noise and gives a clear, insightful perspective on AI—what it is, what it isn’t, and how to use it effectively.

Instead of fearmongering or hype, CO-INTELLIGENCE lays out a practical roadmap for working with AI, showing how it can be a powerful tool rather than a threat. It helped me understand not just the technology itself, but also how to integrate it into real-world scenarios in a way that’s both productive and ethical.

If you’re looking for a book that demystifies AI and teaches you how to use it wisely, this is it. Highly recommended!

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Wish to return unopened package because Size 39 instead of desired 44 but despite 3requests for switch no reply
Excellence
Reviewed in Belgium on May 10, 2025
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brilliant book

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adarsh
Essential read
Reviewed in India on June 3, 2024
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For last 2 years I heard a lot on Chat gpt and artificial intelligence..... this book gave them the 1st opportunity to understand LLM , what is LLM , their architecture, how they work and how we can leverage them in our life to be more productive... author very clearly explains how to use it as a companion and I clearly see a lot of uses ..... LLM once fully understood by the society in large will increase the level of transformation in the society and make humans more intelligent than what they are now.... he also explains various scenarios on how it will transform our life

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Top reviews from the United States

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5.0 out of 5 stars Must-read for any worker concerned about AI - and any worker not concerned, should be

4.0 out of 5 stars Primer for understanding AI

5.0 out of 5 stars Brilliant framework for understanding AI

5.0 out of 5 stars Good Read

5.0 out of 5 stars simple and profound!

4.0 out of 5 stars excellent summary perspective

Top reviews from other countries

5.0 out of 5 stars A must read for those teaching in Business Education

5.0 out of 5 stars A lire sans hésiter.

5.0 out of 5 stars A Must-Read for Anyone Serious About AI!

5.0 out of 5 stars Excellence

5.0 out of 5 stars Essential read

Must-read for any worker concerned about AI - and any worker not concerned, should be

Primer for understanding AI

Brilliant framework for understanding AI

Good Read

simple and profound!

excellent summary perspective

A must read for those teaching in Business Education

A lire sans hésiter.

A Must-Read for Anyone Serious About AI!

Excellence

Essential read