100 books like The Innovator's Dilemma

This book both confirmed and encouraged the best mindset to optimize growth. It’s about learning to create a growth mindset instead of a fixed mindset. Studies have shown that it’s a better way to be successful and happy in life.

“Qualities can be nurtured; our potential is unknown, and failure does not define you. Deal with it, learn, and praise the process."

The main keys are that it’s all about learning, learning, learning…no matter what happens to you. “Yet” is a key word, and hard work is required to succeed. Setbacks are opportunities for growth.

This book is not a book that covers porn addiction, but it is a great book for understanding and creating new habits. This will be of great value to you if you want to stop watching porn.

I got a lot of value from reading this book; it is one of the books that can improve your life, no matter your situation. 

Engelbart’s seminal 1962 book on the possibilities of networked computers builds directly on Bush’s ideas, laying out a groundbreaking new vision for how computers might work.

In collaboration with a team of brilliant collaborators at the Stanford Research Institute, Englelbart began to outline a revolutionary vision for a new kind of collaboration between people and computers. He argued for a new class of technology that would enable computers to augment—rather than supplant—human intelligence. Engelbart’s work led directly to the invention of the graphical user interface, hyperlinking, and pointing devices like the mouse (another Engelbart invention).

Though little read today, Augmenting Human Intellect has exerted a lasting impact on contemporary computing, and many computer scientists now acknowledge it as one of the intellectual foundations of the modern Internet.

A “Black Swan” is a highly unlikely event that occurs with massive consequences. Think of 9/11 or the astonishing success of Google or Amazon.

The main issue relative to Black Swans, as explained by Talib, is that after the fact people are drawn to concocting detailed explanations that make them seem less random, and more predictable. In other words, people develop causal explanations that are completely wrong, but sound reasonable, and will then use them to predict the future.

In the words of Nate Silver, they invent a “signal” to explain what is in reality “noise.” These explanations also create a false sense of security about our ability to predict future events. In short, we fool ourselves into thinking that we know more than we actually do.

I enjoyed Alan Weiss’ book, Million Dollar Consulting, for its refreshingly hard-nosed look at dealing with clients. A business can’t exist without them, but contrary to conventional wisdom, the customer isn’t always right. They’re often difficult, stubborn, and think they know more about a given subject than the expert staring them in the face. Weiss’ book is a practical course on landing and working effectively with clients, especially getting paid what you’re worth. If your business model includes working with high-end clients, this book is a treasure map for growth.

As suggested by my recommendation of Levy’s Facebook, I’m a sucker for a big book about tech entrepreneurs, especially when the subject is as prickly and culturally relevant as Steve Jobs (the book also inspired Aaron Sorkin’s post-Social Network screenplay for 2015’s Steve Jobs, another great Silicon Valley film).

While I’m not an Apple fanboy, I am a fan of Pixar, the other company for which Jobs was CEO. Isaacson’s biography in turn offers a fast-paced history of the way computers and computing, via Apple’s designs and Pixar’s films, stopped being objects only for offices and science fiction, and became part of our everyday landscape.

Like him or not, we’re all partly living in Steve Jobs’ world.

This is the “playbook” for commercial real estate. Even though Robert Ringer wrote this book in 1973 he absolutely hit the nail on the head.

He teaches you “straightforward, easy-to-understand terms, how to defend yourself against the intimidators of the world.” Robert Ringer even identifies the “intimidators” and in a humorous and entertaining way.

The most amazing part is that once you have read the book, you will instantly recognize the characters from the book in your daily life.

Early in my career, I found myself mentored by several of the world’s top cartoonists from Playboy and The New Yorker, including the amazing Gahan Wilson. His cartoons were works of wonder, with intricate cross-hatching, quirky details, and trademark macabre stylings. By sheer luck, I’d stumbled into a backstage pass with one of the greatest cartooning talents ever, so observing his process was a privilege. Humor is about revealing the truth with a twist, which is why I treasure this particular book by Gahan. It’s a collection of his work, but also a statement of entire purpose for all of cartooning—to capture truth.

Jay Conrad Levinson is one of my heroes. His first book, Guerrella Marketing, released when he was in his 50s, and went on to sell more copies than any other marketing book in history. A legendary creative genius from the ad world, he was teaching a class on impromptu, clever marketing tactics when his students (which included Steve Jobs and Larry Ellison) begged Jay to write the book that became the bestseller. Jay’s amazing book shows what’s possible when you apply lots of creativity and audacity to any marketing challenge. If you’ve read my earlier book, you’ll see plenty of Jay’s influence, starting with his foreword.

This book helped me understand why advances in artificial intelligence are going to have a big impact on productivity and economic growth. I loved the analogies to old technologies like electrification of factories, and newer examples like how Team New Zealand used simulations to change racing tactics and boat design.

The book has an important, big idea at its heart. That idea is that AI helps organizations make better predications, and those better predictions allow organizations to be fundamentally redesigned to take advantage of this. This is where the AI productivity revolution comes from.