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The Very Best Books on AI in 2022

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What are the best books about artificial intelligence available today?

Artificial intelligence is a complex and fascinating subject that is changing business as usual.

But, it can be hard-especially for beginners-to find the right book for your needs.

Where do you start?

Which books, older and newer, offer the most bang for your buck?

We've got you covered.

At Marketing AI Institute, we've spent years helping marketers and business leaders understand, adopt, and scale AI.

These books are some of the best we've found to understand how artificial intelligence is changing life, business, and the world.

To make this post as valuable as possible, we've arranged the books into "reading tracks" depending on what you may be looking to achieve with AI...

Best Artificial Intelligence Books for Beginners

When you're just getting started with AI, there's a ton to learn. It can be overwhelming. And it's easy to get lost in jargon and technical terms—and miss the big picture entirely.

These books provide accessible introductions to AI and why it matters. You don't have to read them in order, but if you want to, this is the order we would recommend.

Genius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World

Author: Cade Metz

Why you should read it: Genius Makers is a highly readable account of the history of AI as a field, and how tech leaders at Facebook, Google, and a range of companies and universities turned AI from a niche technology into a world-changing reality.

Key takeaway: Artificial intelligence has been with us in one form or another for decades, but has only begun to reach its full potential in the last 10 years.

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Prediction Machines: The Simple Economics of Artificial Intelligence

Authors: Ajay Agrawal, Joshua Gans, and Avi Goldfarb

Why you should read it: Written by three economists, this book details how the economics of AI will transform business as we know it. In the process, it offers real-world advice on how to build business strategies and plans around the technology.

Key takeaway: By lowering the cost of making accurate predictions, AI is a no-brainer for business owners and executives to use and adopt.

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You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place

Author: Janelle Shane

Why you should read it: Author Janelle Shane takes a funny and informative journey through the world of AI, by running experiments that test the limits of what AI can and can't do-often in hilarious fashion. (Like having AI truly botch coming up with new ice cream flavors.) In the process, you'll come away with a true understanding of how AI works.

Key takeaway: AI isn't going to take over the world. But it is going to transform it-sometimes in extremely weird ways.

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Best Artificial Intelligence Books for Business Leaders

AI is projected to have trillions of dollars of annual impact on the economy. Business leaders will be at the front lines of these impacts as the ones tasked with developing their company's AI competitive advantage.

But every business leader has too little time and too many priorities. So, we put together the most practical, actionable books to quickly understand the AI landscape and get started with the technology.

Marketing Artificial Intelligence: AI, Marketing, and the Future of Business

Screen Shot 2022-03-23 at 2_58_38 PMAuthors: Paul Roetzer and Mike Kaput

Why you should read it: Marketing Artificial Intelligence contains everything the Marketing AI Institute team knows about applying AI to real-world use cases in marketing and business. 

It draws on our years of research and dozens of interviews with AI marketers, executives, engineers, and entrepreneurs.

You'll come away understanding the current potential of AI, as well as a glimpse into a near future in which marketers and machines work seamlessly to run personalized campaigns of unprecedented complexity with unimaginable simplicity. 

Key takeaway: While AI-powered marketing technologies may never achieve the sci-fi vision of self-running, self-improving autonomous systems, a little bit of AI can go a long way toward dramatically increasing productivity, efficiency, and performance.

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The Algorithmic Leader: How to Be Smart When Machines Are Smarter Than You

Author: Mike Walsh

Why you should read it: Walsh breaks down exactly how business leaders need to adapt their skills, approaches, and mental models to manage effectively in the age of AI.

Key takeaway: Business leaders will need to design new paths of personal transformation with AI in order to build a competitive advantage for themselves and their companies.

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The AI Marketing Canvas: A Five Stage Roadmap to Implementing Artificial Intelligence in Marketing

Authors: Raj Venkatesan and Jim Lecinski

Why you should read it: Venkatesan and Lecinski give marketing leaders an actionable playbook to plan and execute AI initiatives at every stage of organizational maturity.

Key takeaway: Brands that are successful with weaving AI into their marketing strategies all share a common set of best practices that any marketing leader can learn from. 

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The AI-Powered Enterprise: Harness the Power of Ontologies to Make Your Business Smarter, Faster, and More Profitable

Author: Seth Earley

Why you should read it: Knowledge management is the fastest growing area of AI spend. There's a good reason for that.

Without proper management of every piece of your organization's digital knowledge, you won't get much value out of AI. Earley's book reveals exactly how to develop an ontology, a holistic digital model of every piece of information that matters to your business. This model allows you to get true—and transformative—value out of AI.

Key takeaway: Most companies still stumble when it comes to deploying artificial intelligence, and it's because they've failed to manage and organize their internal knowledge and data correctly. Building an ontology solves that problem.

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The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies

Authors: Erik Brynjolfsson and Andrew McAfee

Why you should read it: Erik Brynjolfsson and Andrew McAfee, both professors at MIT, were early advocates of the idea that AI would transform business. In The Second Machine Age, they make the case that we are entering a new era of technological progress.

Key takeaway: The Second Machine Age describes how technology has been improving exponentially since the Industrial Revolution. It offers some insight into how AI will change business in the future.

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Applied Artificial Intelligence: A Handbook for Business Leaders

Author: Mariya Yao

Why you should read it: Applied Artificial Intelligence offers practical advice on AI adoption specifically designed for business leaders, including how to prioritize your AI projects at your company.

Key takeaway: You do not need to be a machine learning engineer to apply AI to your business, as long as you have the right framework and ask the right questions.

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Voice Strategy: Creating Useful & Usable Voice Experiences

Authors: Susan and Scot Westwater

Why you should read it: Voice (powered by AI) is the next major shift in consumer behavior, and marketers and business leaders need to be prepared. This guide is your one-stop shop for voice strategy, from two of the most knowledgable voice experts in the business.

Key takeaway: You can no longer ignore voice, so you need a strategy to identify your audience's voice needs and a methodology to identify voice use cases in your business.

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Human + Machine: Reimagining Work in the Age of AI

Authors: Paul Daugherty and H. James Wilson

Why you should read it: The authors worked with 1,500 companies to determine practical advice for how professionals and firms need to adapt to the transformations wrought by AI.

Key takeaway: Every company needs six hybrid human + machine roles to thrive in the age of AI.

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Best Artificial Intelligence Books for Pros with More Technical Backgrounds

These books are for those with at least a little technical background in computer science or data science. Each one is a deeper dive into the nuts and bolts of how AI technology works.

Artificial Intelligence: A Modern Approach

Authors: Stuart Russell and Peter Norvig

Why you should read it: Widely considered a classic, this book is a comprehensive look at AI as a field and technology. The book is now on its fourth edition, and covers machine learning, deep learning, and other types of AI, as well as important concerns around AI safety and privacy.

Key takeaway: AI has the power to transform our world, if we approach it with the right considerations and concerns in mind.

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The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World

Author: Pedro Domingos

Why you should read it: Pedro Domingos is a professor at the University of Washington, and his book The Master Algorithm provides a clear overview of the field of machine learning. It's a great place to start if you want to learn about the evolution of artificial intelligence.

Key takeaway: The Master Algorithm explains how you can apply machine learning to various fields, including robotics and medicine.

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How to Create a Mind: The Secret of Human Thought Revealed

Author: Ray Kurzweil

Why you should read it: Ray Kurzweil is one of the most prominent inventors in artificial intelligence, and he is quite optimistic about the future of AI. In his book How to Create a Mind, he explains how the brain works and how we can recreate it on a computer.

Key takeaway: Ray Kurzweil predicts that by 2029, a $1,000 computer will have the same power as the human brain.

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Deep Learning

Author: Ian Goodfellow, Yoshua Bengio, and Aaron Courville

Why you should read it: Deep learning is one of the most promising approaches to artificial intelligence, and this book explains the basics of the field. You'll learn how deep learning systems work, how to design them, and how to make them work well.

Key takeaway: Deep Learning explains how to apply deep learning to various fields, including computer vision and speech recognition.

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Best Artificial Intelligence Books for Big Picture Thinkers

While practical knowledge is key to getting the most out of AI, it's also helpful to grasp the big picture—where the technology is taking us and how it's changing what it means to be human.

These books provide several possible roadmaps for what our future could look like.

Homo Deus: A Brief History of Tomorrow

Author: Yuval Noah Harari

Why you should read it: Yuval Noah Harari is a historian at the Hebrew University of Jerusalem, and in Homo Deus, he explores the future of humanity. He argues that artificial intelligence will change the world as much as fire, agriculture, and writing did.

Key takeaway: Harari believes that artificial intelligence will make inequality even worse, and he warns that it could lead to major political upheavals.

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Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence

Author: Kate Crawford

Why you should read it: Crawford takes a novel approach to the field of AI. She looks at the negative effects that AI as a technology is having on politics and economies.

Key takeaway: AI has the potential to go wrong, and knowing the risks and downsides is a main way to make sure it goes right.

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AI Superpowers: China, Silicon Valley, and the New World Order

Author: Kai-Fu Lee

Why you should read it: AI Superpowers is an expert look at how AI development in China and the United States is about to disrupt work and the world. In it, AI and China expert Kai-Fu Lee details which types of jobs and industries will be most effected by AI, and what to do about it.

Key takeaway: Competition and/or collaboration between China and the United States could determine the pace and extent of AI adoption globally.

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Superintelligence: Paths, Dangers, Strategies

Author: Nick Bostrom

Why you should read it: Nick Bostrom is a philosopher at the University of Oxford, and in Superintelligence, he explores the dangers of artificial intelligence. He argues that if AI becomes more intelligent than humans, it will be difficult to control.

Key takeaway: Although most experts agree that we need to be vigilant about the risks of artificial intelligence, some of the most prominent AI researchers disagree with Nick Bostrom's conclusions.

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