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A frank, hands-on guide to using AI at work, unpacking for the curious and skeptical alike the 24 Laws of AI and revealing strategies that businesses of every size can use to free up time, innovate, and add to the bottom line from a Wall Street Journal tech columnist
The antidote to AI panic. Read it. You ll breathe easier. Scott Galloway, NYU Stern School of Business professor and co-host of Pivot with Kara Swisher
A clear, practical, and hype-free guide to the AI revolution that will resonate with anyone trying to figure out the how to make AI deliver real value. Ethan Mollick, Wharton professor and New York Times bestselling author of Co-Intelligence
AI is nothing to be afraid of. After all, AI is merely software. It s great at some things and (at least right now) terrible at others. But for workers who take time to experiment with AI and develop expertise, AI will make them more productive and more creative, saving them time, giving them job security, and boosting their income.
In How to AI, Wall Street Journal columnist Christopher Mims introduces readers to people just like them who are at the forefront of using AI in the world of work. Imagine a freelance lawyer who suddenly has a whip-smart assistant to help her nail every deposition. Or a mom-and-pop contractor whose new software tool is automating construction bids that used to eat up hundreds of hours.
But even as half a billion people around the world have leapt at the chance to use ChatGPT and other tools, millions of us have stayed on the sidelines. Are you one of them? Maybe you feel you should be using AI tools, but you don t know where to begin. Or maybe you love AI but find yourself struggling to get your co-workers or employees on board. In How to AI, Mims teaches readers twenty-four simple but eye-opening laws about AI and how we should approach it, including:
AI is an assistant, not a replacement.
AI isn t creative, but it can help you be.
Give AI your least favorites things to do.
AI can t create finished products, but it s great at prototypes.
Animated by the wit and brilliant explanatory power that have earned Mims s Wall Street Journal columns a devoted following, How to AI will prepare readers to become a part of the AI revolution and, most important, arm them with the tools to make it work for them.
Info autore
Christopher Mims
Riassunto
A frank, hands-on guide to using AI at work, unpacking for the curious and skeptical alike the “24 Laws” of AI and revealing strategies that businesses of every size can use to free up time, innovate, and add to the bottom line—from a Wall Street Journal tech columnist
“The antidote to AI panic. Read it. You’ll breathe easier.”—Scott Galloway, NYU Stern School of Business professor and co-host of Pivot with Kara Swisher
“A clear, practical, and hype-free guide to the AI revolution that will resonate with anyone trying to figure out the how to make AI deliver real value.”—Ethan Mollick, Wharton professor and New York Times bestselling author of Co-Intelligence
AI is nothing to be afraid of. After all, AI is merely software. It’s great at some things and (at least right now) terrible at others. But for workers who take time to experiment with AI and develop expertise, AI will make them more productive and more creative, saving them time, giving them job security, and boosting their income.
In How to AI, Wall Street Journal columnist Christopher Mims introduces readers to people just like them who are at the forefront of using AI in the world of work. Imagine a freelance lawyer who suddenly has a whip-smart assistant to help her nail every deposition. Or a mom-and-pop contractor whose new software tool is automating construction bids that used to eat up hundreds of hours.
But even as half a billion people around the world have leapt at the chance to use ChatGPT and other tools, millions of us have stayed on the sidelines. Are you one of them? Maybe you feel you should be using AI tools, but you don’t know where to begin. Or maybe you love AI but find yourself struggling to get your co-workers or employees on board. In How to AI, Mims teaches readers twenty-four simple but eye-opening “laws” about AI and how we should approach it, including:
• AI is an assistant, not a replacement.
• AI isn’t creative, but it can help you be.
• Give AI your least favorites things to do.
• AI can’t create finished products, but it’s great at prototypes.
Animated by the wit and brilliant explanatory power that have earned Mims’s Wall Street Journal columns a devoted following, How to AI will prepare readers to become a part of the AI revolution—and, most important, arm them with the tools to make it work for them.
Relazione
The antidote to AI panic. Read it. You ll breathe easier. Scott Galloway, professor at NYU Stern School of Business and co-host with Kara Swisher of Pivot
Finally, a new AI book that focuses on the key question so many people are facing: How
do I work with AI right now? Christopher Mims gives us a clear, practical, and hype-free guide. . . . How to AI is packed with so many good stories, tips, and explanations that anyone, novice or expert, is going to find insights that will change how they use (and think about) AI. Accessible, entertaining, and useful! Ethan Mollick, Wharton professor and New York Times bestselling author of Co-Intelligence
Mims masterfully demystifies AI s true potential, proving that the real revolution isn t in replacing humans but in amplifying their capabilities exactly the strategic insight every CEO needs right now. Aaron Levie, CEO of Box
Engaging, practical, and grounded in real-world stories. Marc Benioff, chair and CEO of Salesforce
Mims s book is a rare find: an optimistic, realistic, and down-to-earth practical guide on how to use AI in daily life. Highly readable and immediately valuable. Melanie Mitchell, author of Artificial Intelligence: A Guide for Thinking Humans
A clear and practical guide to making AI a true multiplier of human talent. Allan Thygesen, CEO of Docusign
For anyone looking to be on the cutting edge of technology, from understanding AI to improving their lives with it, this book is a must-read. Kirkus Reviews
Complex topics are presented with nuance and clarity, making the book accessible for a wide range of readers. Mims measured treatment of AI is a much-needed reality check in our era of AI alarmism. Highly recommended for business and technology collections. Booklist
