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All-in On AI: How Smart Companies Win Big with Artificial Intelligence
A fascinating look at the trailblazing companies using artificial intelligence to create new competitive advantage—from the author of the business classic Competing on Analytics and the head of Deloitte's US AI practice.
Though most organizations are placing modest bets on artificial intelligence, there is a world-class group of "AI-fueled" companies that are going all-in on the technology and radically transforming their products, processes, strategy, customer relationships, culture, and talent.
Though these AI-fueled companies represent less than 1 percent of large companies, the stock prices of these firms averaged four times the performance of the S&P 500 over the last five years. They have better business models, make better decisions, have better relationships with customers, offer better products and services, and charge more-profitable prices.
Written by bestselling author Tom Davenport and Deloitte's Nitin Mittal, All-In on AI looks at artificial intelligence at its most extreme—from established companies like Anthem, Ping An, Airbus, and Capital One. The book also features lessons from startups and tech firms, but the focus is on how existing firms can transform themselves.
Filled with insights, strategies, and best practices, All-In on AI also provides leaders and their teams with the insights to help their own companies become AI-fueled. This includes:
-How to adopt multiple "use cases" or applications to support a wide variety of business goals and objectives
-How to deploy AI tools systematically across every core business process and enterprise operation
-How to drive new offerings and business models with AI and data-driven decision-making
-How to increase organization-wide fluency in AI
-What AI leadership really means
If you're curious about the next phase in artificial intelligence inside companies or looking to adopt this powerful technology in a more robust way, All-In on AI offers a rare, inside look at what the leading adopters are doing, while providing the tools to put AI at the core of everything you do.
Though most organizations are placing modest bets on artificial intelligence, there is a world-class group of "AI-fueled" companies that are going all-in on the technology and radically transforming their products, processes, strategy, customer relationships, culture, and talent.
Though these AI-fueled companies represent less than 1 percent of large companies, the stock prices of these firms averaged four times the performance of the S&P 500 over the last five years. They have better business models, make better decisions, have better relationships with customers, offer better products and services, and charge more-profitable prices.
Written by bestselling author Tom Davenport and Deloitte's Nitin Mittal, All-In on AI looks at artificial intelligence at its most extreme—from established companies like Anthem, Ping An, Airbus, and Capital One. The book also features lessons from startups and tech firms, but the focus is on how existing firms can transform themselves.
Filled with insights, strategies, and best practices, All-In on AI also provides leaders and their teams with the insights to help their own companies become AI-fueled. This includes:
-How to adopt multiple "use cases" or applications to support a wide variety of business goals and objectives
-How to deploy AI tools systematically across every core business process and enterprise operation
-How to drive new offerings and business models with AI and data-driven decision-making
-How to increase organization-wide fluency in AI
-What AI leadership really means
If you're curious about the next phase in artificial intelligence inside companies or looking to adopt this powerful technology in a more robust way, All-In on AI offers a rare, inside look at what the leading adopters are doing, while providing the tools to put AI at the core of everything you do.
256 pages, Hardcover
Published December 22, 2022
147 people are currently reading
427 people want to read
About the author
Thomas H. Davenport
86 books130 followersTom Davenport holds the President's Chair in Information Technology and Management at Babson College. His books and articles on business process reengineering, knowledge management, attention management, knowledge worker productivity, and analytical competition helped to establish each of those business ideas. Over many years he's authored or co-authored nine books for Harvard Business Press, most recently Competing on Analytics: The New Science of Winning (2007) and Analytics at Work: Smarter Decisions, Better Results (2010). His byline has also appeared for publications such as Sloan Management Review, California Management Review, Financial Times, Information Week, CIO, and many others.
Davenport has an extensive background in research and has led research centers at Ernst & Young, McKinsey & Company, CSC Index, and the Accenture Institute of Strategic Change. Davenport holds a B.A. in sociology from Trinity University and M.A. and Ph.D. in sociology from Harvard University. For more from Tom Davenport, visit his website and follow his regular HBR blog.
Davenport has an extensive background in research and has led research centers at Ernst & Young, McKinsey & Company, CSC Index, and the Accenture Institute of Strategic Change. Davenport holds a B.A. in sociology from Trinity University and M.A. and Ph.D. in sociology from Harvard University. For more from Tom Davenport, visit his website and follow his regular HBR blog.
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Displaying 1 - 22 of 22 reviews
June 21, 2023
So far I'm not impressed. I follow Tom Davenport for more than a decade, and I had higher expectations from this book. Especially given that it was published on 12/22/22, which is pretty recent.
I ended up picking some concepts from this book... but expected more.
I ended up picking some concepts from this book... but expected more.
July 9, 2024
Meh....
I guess I was anticipating more but this book was a bundle up of use cases for AI from across the various industries and the narration did not follow a particular pattern. it felt like it was jumping from one place to another, and almost as if it is written in a rush.
Some good examples, but nothing shattering or even remotely interesting. It was also pretty repetitive, which made me lose my interest after halfway and the second half was a drag to read.
I guess I was anticipating more but this book was a bundle up of use cases for AI from across the various industries and the narration did not follow a particular pattern. it felt like it was jumping from one place to another, and almost as if it is written in a rush.
Some good examples, but nothing shattering or even remotely interesting. It was also pretty repetitive, which made me lose my interest after halfway and the second half was a drag to read.
July 13, 2023
Info wise: 4 stars
Writings/lit wise: 5 stars
What happens if we really go ‘all-in’ and fully invested in AI?
Tesla self-driving cars, ChatGPT, and robo-advisors investing money on your behalf—What are the impacts of all these things on our reality?
How can businesses gain a competitive edge with AI in playing this long game?
Aim: to examine the notion of going all-in with AI and what it takes for a business to do so.
- Next phase of AI implementation within business
- Discover new ways in competing and doing business integrating AI
- Leading adopters' practices and tools in incorporating AI as the heart of organisation/business
Written by Davenport; an American academic specialising in AI, and Mittal; a Generative AI Innovation Leader of the US, meant to illuminate readers on what it looks like if businesses go ‘all-in’ and put AI at the heart of their organisation. This book views AI from the lens of the most extreme—the most aggressive execution, the best alignment with strategy and operations, the most business value, and the most effective implementations. To do so, Davenport & Mittal profiles companies; not only that they are high performers in their industries, but they have existed long before AI was ‘the big thing’ & are evolving with its assistance. These companies portray that when you decided to fully commit/transition/equip your business with AI, it is important to understand that such transformation not only includes successes and setbacks, nor is it an easy endeavour, nonetheless, it is the stepping stone towards where the future lies.
However, going ‘all-in’ does not mean, full volume, head first, or going in blind. These companies have somehow presented their blueprint of intelligent bets that will improve businesses together with evidence that those bets are actually paying off. Presents different approaches such as; AI fuelled; AI powered; AI enabled, etc. While highlighting the fact that transitioning towards AI takes a lot of effort and strategising in order to move the existing business from a traditional industry to fully incorporate AI—from top to bottom, A to Z—to successfully unlock its capabilities. This aggressive AI usage impacted business; strategy, processes, technology, culture, & talent. In a way, it recalibrated the entire business working and identity.
Businesses that take AI seriously must also take data seriously, gathering, integrating, storing, and making it widely available. A radical move will results in a radical reality altogether which means the future of work will look very different. Looking at our reality, since AI is all around us, big or small, whether or not we realise it, are gradually changing our reality. How? Cars evolve, education changes with ChatGPT alongside wide resources on the web, & everyone can now invest via robo-advisory. Either business or general adoption, the key to successful AI is not technology, but rather its originator; human—our leadership, behaviour, mindset, as well as corporate culture. This means that we do not get to choose whether or not to hop on the trend or integrate this technology, its already happening, and the wisest thing to do is to equip ourselves with knowledge so that we could ride the wave. It’s about staying relevant and it’s about growing along the technological advancement. The organisation's alignment with AI can also be achieved by frequently disclosing results and publicising achievements. Overall, it's a short read and easy to understand even for execs or managers of non-AI backgrounds.
Writings/lit wise: 5 stars
What happens if we really go ‘all-in’ and fully invested in AI?
Tesla self-driving cars, ChatGPT, and robo-advisors investing money on your behalf—What are the impacts of all these things on our reality?
How can businesses gain a competitive edge with AI in playing this long game?
Aim: to examine the notion of going all-in with AI and what it takes for a business to do so.
- Next phase of AI implementation within business
- Discover new ways in competing and doing business integrating AI
- Leading adopters' practices and tools in incorporating AI as the heart of organisation/business
Written by Davenport; an American academic specialising in AI, and Mittal; a Generative AI Innovation Leader of the US, meant to illuminate readers on what it looks like if businesses go ‘all-in’ and put AI at the heart of their organisation. This book views AI from the lens of the most extreme—the most aggressive execution, the best alignment with strategy and operations, the most business value, and the most effective implementations. To do so, Davenport & Mittal profiles companies; not only that they are high performers in their industries, but they have existed long before AI was ‘the big thing’ & are evolving with its assistance. These companies portray that when you decided to fully commit/transition/equip your business with AI, it is important to understand that such transformation not only includes successes and setbacks, nor is it an easy endeavour, nonetheless, it is the stepping stone towards where the future lies.
However, going ‘all-in’ does not mean, full volume, head first, or going in blind. These companies have somehow presented their blueprint of intelligent bets that will improve businesses together with evidence that those bets are actually paying off. Presents different approaches such as; AI fuelled; AI powered; AI enabled, etc. While highlighting the fact that transitioning towards AI takes a lot of effort and strategising in order to move the existing business from a traditional industry to fully incorporate AI—from top to bottom, A to Z—to successfully unlock its capabilities. This aggressive AI usage impacted business; strategy, processes, technology, culture, & talent. In a way, it recalibrated the entire business working and identity.
Businesses that take AI seriously must also take data seriously, gathering, integrating, storing, and making it widely available. A radical move will results in a radical reality altogether which means the future of work will look very different. Looking at our reality, since AI is all around us, big or small, whether or not we realise it, are gradually changing our reality. How? Cars evolve, education changes with ChatGPT alongside wide resources on the web, & everyone can now invest via robo-advisory. Either business or general adoption, the key to successful AI is not technology, but rather its originator; human—our leadership, behaviour, mindset, as well as corporate culture. This means that we do not get to choose whether or not to hop on the trend or integrate this technology, its already happening, and the wisest thing to do is to equip ourselves with knowledge so that we could ride the wave. It’s about staying relevant and it’s about growing along the technological advancement. The organisation's alignment with AI can also be achieved by frequently disclosing results and publicising achievements. Overall, it's a short read and easy to understand even for execs or managers of non-AI backgrounds.
October 24, 2022
AI is here to stay so get on board whether or not you are a believer. I read this book, not because I have a business that I am looking at integrating into AI but I wanted to know what to expect for the future. I am impressed with this book and all of the incredible knowledge being passed out so openly and to help businesses succeed. To help businesses understand that this type of transition will have successes and failures, but not to give up. This is not an easy or cheap endeavor, but it is where our future is going, so get on board if you want to succeed.
The book started out a little slow for someone like me, but only because it is such a vast subject, much more than I ever believed it could be. Each chapter gets progressively better and better, providing incredible amounts of valuable information. By the time I got to the end the book, the complete book ended up being quite detailed giving just about any type of business the much needed knowledge that is necessary to go all in.
Things like building a clear business model, having a team approach and that the team really needs to believe in AI. No matter what your business may be AI can help, whether with supply chain issues, maintenance, inventory, insurance, suggestive sales, medical, marketing and so much more.
From highly knowledgable and experienced authors this book is well worth the read. It is not too short that it leaves one left wondering about it, and not so long as to overwhelm the reader. Clear, concise and to the point. A perfect book to start your business thinking towards AI. I received this book for free and voluntarily reviewed.
The book started out a little slow for someone like me, but only because it is such a vast subject, much more than I ever believed it could be. Each chapter gets progressively better and better, providing incredible amounts of valuable information. By the time I got to the end the book, the complete book ended up being quite detailed giving just about any type of business the much needed knowledge that is necessary to go all in.
Things like building a clear business model, having a team approach and that the team really needs to believe in AI. No matter what your business may be AI can help, whether with supply chain issues, maintenance, inventory, insurance, suggestive sales, medical, marketing and so much more.
From highly knowledgable and experienced authors this book is well worth the read. It is not too short that it leaves one left wondering about it, and not so long as to overwhelm the reader. Clear, concise and to the point. A perfect book to start your business thinking towards AI. I received this book for free and voluntarily reviewed.
May 18, 2023
Despite some fascinating insights into how large corporations leverage AI, the book can come across as tedious due to its extensive list of potential AI applications, and it lacks clarity on how the reader can benefit from this information.
Sections related to the categorization of companies and how they formulate and execute policies to make AI an integral part of their operations, as well as discussions on AI strategy, ethics, and continuous employee learning are noteworthy.
Conversely, the lengthy list of potential AI applications, spanning roughly 40 pages, seems of little value. While it's enlightening to learn about Deloitte's practices - especially considering one of the authors works at the company - it could potentially be seen as promotional material.
In all honesty, one can find an abundance of more engaging information and insights available freely on the Internet.
Sections related to the categorization of companies and how they formulate and execute policies to make AI an integral part of their operations, as well as discussions on AI strategy, ethics, and continuous employee learning are noteworthy.
Conversely, the lengthy list of potential AI applications, spanning roughly 40 pages, seems of little value. While it's enlightening to learn about Deloitte's practices - especially considering one of the authors works at the company - it could potentially be seen as promotional material.
In all honesty, one can find an abundance of more engaging information and insights available freely on the Internet.
March 7, 2025
I read the abridged version on Blinkist.
There are situations in life, when we really want something, and we cling onto it, even though it's just not meant for us. Sometimes, we can draw power from this and make it come true. Even as a fat kid, I could have become a ballerina with a lot of dieting and dedication, yeah, but it was just not meant to be, I suck at dancing anyway.
This is the case with this book as well. It wants to touch on an interesting topic, but honestly, it should have remained just a presentation, because it is many pages about nothing or something that can easily be summarised by ChatGPT in a single sentence.
There are situations in life, when we really want something, and we cling onto it, even though it's just not meant for us. Sometimes, we can draw power from this and make it come true. Even as a fat kid, I could have become a ballerina with a lot of dieting and dedication, yeah, but it was just not meant to be, I suck at dancing anyway.
This is the case with this book as well. It wants to touch on an interesting topic, but honestly, it should have remained just a presentation, because it is many pages about nothing or something that can easily be summarised by ChatGPT in a single sentence.
January 14, 2024
A lot of useful information in here, but poorly structured and delivered. I could pick out certain important factors from the case studies as they whizzed by, but it would’ve been much more helpful if the authors had done some more processing and picked them out for the reader.
September 8, 2025
This is the worst book I’ve read since 2018 when I read some nonsense about blockchain. Take some large corporations, survey them for some public corporate claims, sprinkle in some words about eternal problems in business, regardless on industry, then sprinkle in AI everywhere and say you must be all in or miss out, and apparently you have a book. I hope this is because we knew less a couple of years ago when this was written, otherwise it’s religious fluff.
January 21, 2023
The book is providing a very good understanding of AI use cases, applications and potential integrations scenarios. There are interesting overviews of AI implementation by Deloitte, Shell, Capital One and others. Area of AI is still in development and search for practical applications so books like this one support deeper indeed technology and capabilities which can support strategic view on how AI can be used.
February 12, 2024
As for me, it was a little high-level. It came out before the breakthroughs of 2023. It might be good for those who are not very familiar with the ML/AI field and are just learning about different use cases across different industries. Well structured, and well-tailored content. Good for the early years of college or non-AI experts. With this punchy title, I was expecting something more extraordinary.
September 2, 2024
The book provides several examples of AI use cases, noting that in many cases, companies have already spent years working with data analytics, RPA, and other technologies, and started AI experiments long before the current hype. However, the authors mentioned that they struggled to find good examples of serious AI production use. While the book was okay, I expected more discussion and practical advice for businesses in the early stages of their AI journey.
July 20, 2025
All In On AI is insightful
Good insights and ideas to ponder and plan for success in deploying AI. This is not an extremely technical book, but it reads a lot like Competing On Analytics for the age of AI. Good for business leaders who come from a technical data science or ML background.
Good insights and ideas to ponder and plan for success in deploying AI. This is not an extremely technical book, but it reads a lot like Competing On Analytics for the age of AI. Good for business leaders who come from a technical data science or ML background.
November 28, 2023
Very well structured in the beginning, and rather a good ending. It could be improved on the part that tries to consolidate use cases for various industries. Overall a good read, from a business perspective that does not go at all into technical details.
January 16, 2025
If you are working in AI you need to read this
If you are working in AI or want to you need to read this book. It is well written and researched and worth it just for the index so you can have your own great books education on AI!
If you are working in AI or want to you need to read this book. It is well written and researched and worth it just for the index so you can have your own great books education on AI!
August 31, 2025
Good overview of AI in business
This was a good overview of how different businesses in different Industries implemented artificial intelligence into their business. They provide a good idea but lacked specifics on how to do it. But overall it was very informative.
This was a good overview of how different businesses in different Industries implemented artificial intelligence into their business. They provide a good idea but lacked specifics on how to do it. But overall it was very informative.
April 18, 2023
Ehh. It was fine, and sparked a few ideas here and there. Nothing groundbreaking though.
August 24, 2023
Definetely a lot of interesting knowledge but not an enjoyable read. It feels like a list of cases rather than a story.
February 4, 2024
If you're interested in AI and want to move your company into innovating with AI, this book includes great examples, use cases, and actionable advice to get you going.
June 11, 2024
Outstanding use cases for sector-related ideas of AI innovation. Strongly recommend it
July 29, 2024
Psych girlies becoming AI experts SLAY.
October 1, 2024
Okay book or case studies of firms using AI in their day-to-day operations. Not a whole lot of depth, but a good starting point.
June 14, 2025
If you have the resume, Throw some case studies together and Harvard will publish it.
Displaying 1 - 22 of 22 reviews