Best Books to Learn About AI in 2026 (For Business Owners and SMEs)

Best Books to Learn About AI (And Why Most of Them Won’t Help Your Business)

I went looking for the best books to learn about AI, and the first thing I found wasn’t a book. It was a Reddit comment with nineteen upvotes telling someone not to bother with one at all. That comment turned out to be more useful than half the reading lists I found.

I run JoeAI, an AI consultancy in Crouch End, North London. Most of the people I work with are sole traders and practice owners, not software engineers. So I read through several of the most active Reddit threads on this exact question, the ones with hundreds of replies from computer science students, working engineers and total beginners, to work out what a business owner actually needs to read. Here’s what I found.

Quick answer: for a small business owner, skip the academic textbooks entirely. Read “Co-Intelligence” by Ethan Mollick for the thinking, then use ChatGPT or Claude directly for the practical skill. Reddit’s own most-upvoted advice on this topic is blunt: use AI to learn AI, because books go stale within months.

What Redditors Actually Say

What Do the Most Upvoted Book Recommendations for AI Actually Say?

I read through seven separate Reddit threads across r/ArtificialIntelligence, r/learnmachinelearning, r/compsci and r/agi, all asking a version of “what book should I read to learn AI.” Between them they carried several hundred comments and spanned three years of discussion, so this isn’t one person’s opinion, it’s a running argument that never really settles.

The Numbers

One in three highly-upvoted replies across these threads recommended skipping books entirely in favour of using an AI tool directly, or said books on the topic go out of date almost as soon as they’re printed.

Methodology: manual read-through of 7 Reddit threads (r/ArtificialIntelligence, r/learnmachinelearning, r/compsci, r/agi), roughly 400 comments, posted between 2023 and early 2026. Not a scientific sample, but a genuine cross-section of what people who’ve actually tried this route say.

The single most upvoted comment across all seven threads wasn’t a book title. It was someone telling a beginner to put their queries straight into an AI tool instead, because that way you get the real information alongside practical prompting experience at the same time. Nineteen people upvoted that over any book recommendation in the thread.

The Honest Divide

Should You Even Start With a Book?

Depends what you’re trying to do. There are really two separate questions hiding inside “how do I learn about AI”, and Reddit answers them completely differently.

If you want to understand how the technology works under the hood, the machine learning, the neural networks, the maths, then the crowd points you toward the same handful of technical textbooks every time. If you want to understand what AI means for your business, your marketing, your time, then the crowd tells you to stop reading and start doing.

Most business owners I talk to in Crouch End, Muswell Hill and Hornsey are asking the second question, even if they think they’re asking the first. That matters, because it changes what’s worth your time completely.

The Technical Route

What About “Artificial Intelligence: A Modern Approach”? Everyone Mentions It.

Russell and Norvig’s “Artificial Intelligence: A Modern Approach” comes up in nearly every one of these threads, and it’s genuinely the most-cited AI textbook there is. It’s also the most argued-about book in the whole discussion.

One computer science professor who teaches from it directly told the thread it’s the most comprehensive textbook in the field and standardises the language across every sub-area of AI. Several others pushed back hard, calling it dense, dated on anything to do with modern language models, and better suited to postgraduate study than a first read. One commenter, only half joking, said most academics keep a copy on the shelf as a display piece rather than something anyone actually finishes.

My honest take: unless you’re planning a career change into machine learning engineering, skip it. It wasn’t written for you, and life’s too short.

The most useful thing I can tell a business owner about AI textbooks is this: if a Reddit thread full of computer science professors and students can’t agree whether the standard reference book is worth reading, it’s definitely not the place for you to start.

For Business Owners

Which AI Book Should a Small Business Owner Actually Start With?

If you want one book that earns its place on the shelf, it’s “Co-Intelligence: Living and Working with AI” by Ethan Mollick. It was recommended repeatedly across the threads I read, and unlike the textbooks, nobody argued about whether it was worth the time. It’s written for people who use AI at work, not people who build it.

Two others worth knowing about if you want the bigger picture rather than the practical skill: “Life 3.0” by Max Tegmark for where this is all heading, and “Nexus” by Yuval Noah Harari for how information technology has reshaped society before, which is useful context if you like understanding the “why” before the “how”.

None of these will teach you to write a good prompt or set up an AI tool in your business. For that, you need something no book can give you, which brings me to the actual disagreement worth paying attention to.

The Bit Nobody Selling Books Will Say

Is It Actually Better to Just Use AI to Learn About AI?

For a working definition of “how AI actually behaves,” yes. Books explain concepts. They can’t show you what happens when you ask ChatGPT a badly worded question versus a well worded one, and that gap is exactly where most of the practical value sits.

One theme ran through almost every thread I read, from complete beginners to working engineers: the technology moves faster than publishing schedules. A book explaining “the latest AI tools” written eighteen months ago is already describing software that’s been replaced twice over. I’ve written before about what happens when you trust AI advice blindly, and the same caution applies here in reverse: don’t trust a book’s freshness either, always check what’s changed since it was printed.

But there’s a real risk in the “just ask ChatGPT” advice too, and it’s one I don’t think gets said enough. If you don’t already understand your own problem, you won’t know whether the answer you get back is a good one or a confident-sounding average one. That’s not a reason to avoid the tool. It’s a reason to bring a specific business problem to it, not a vague one.

Where To Actually Start

What’s the One Thing Worth Doing Instead of Reading a Whole Book?

Pick one task in your business that eats your time every week, and spend an hour working out how AI could take it off your plate. Not a strategy. Not a reading list. One task.

I’ve seen this work again and again with the practitioners I talk to, whether that’s therapists cutting down their session notes admin or osteopaths trying to keep on top of scheduling. Reading a 400-page book on machine learning theory won’t help a physiotherapist write better patient follow-up emails. Twenty minutes with the right tool will.

If you want the fuller picture of how this plays out for other North London businesses, I’ve written about how most UK small businesses are barely scratching the surface of what’s available, and broken down what AI agents actually are in plain English if that’s the bit that’s been confusing you.

Frequently Asked Questions

What is the single best book to learn about AI for beginners?

For a general audience with no technical background, “Co-Intelligence” by Ethan Mollick is the most consistently recommended starting point. It focuses on how to work alongside AI tools rather than how the underlying algorithms function.

Is “Artificial Intelligence: A Modern Approach” worth reading?

Only if you’re studying AI academically or planning a technical career in the field. It’s the standard university reference textbook, but it’s dense, light on modern language models, and generally considered better for postgraduate study than casual reading.

Do AI books go out of date quickly?

Books covering specific tools and current AI capabilities date fast, often within a year. Books covering underlying concepts like machine learning fundamentals, ethics or history age much more slowly.

Should I use ChatGPT or Claude instead of reading a book?

For learning the practical skill of using AI tools well, yes, direct hands-on use teaches you things a book cannot. For understanding the wider context, ethics, or theory, a well-chosen book still does that job better.

What AI book should I read if I run a small business, not a tech company?

Skip the technical textbooks entirely. “Co-Intelligence” for the thinking, then spend time directly inside the tool you’re most likely to use day to day, whether that’s ChatGPT, Claude, or something specific to your industry.

How long does it take to get useful with AI without reading a whole book?

Most people I work with see genuine time savings within a single afternoon once they focus on one specific task rather than trying to learn the technology broadly.

Are there any AI books specifically for therapists, osteopaths or other practice owners?

Not really, and that’s often the problem with book-based learning here, it’s too general. I’ve written industry-specific guides instead, including one on AI tools for therapists, which is more useful in practice than any general AI book.

Skip the Reading List. Start With One Task.

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Joe Sack is an AI consultant based in Crouch End, North London. He helps small businesses and independent professionals use AI without the overwhelm.

Joe Sack
Joe Sack

AI consultant based in Crouch End, North London. Helping small businesses and independent professionals use AI without the overwhelm. Over ten years in digital marketing working with Volkswagen and Unilever

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