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3.63 AVERAGE
3.63 AVERAGE
The book can be summarized in one sentence: AI dramatically lowers the price of prediction. The rest is about various economic consequences of this effect for companies, employees, and consumers. There are a lot of concrete and insightful examples that made me really think. But, overall, the book feels a bit fluffy and most of its most interesting content could probably fit into one or two blog posts.
This was ok, felt a bit dated already, but that’s to be expected given the pace of AI development.
Clearly written and argued, despite being fairly abstract.
This will be enlightening to any one in modern business with only light technology skills. It doesn’t dive deep enough into any one framework to feel flushed out. Worth a read if you’re in management and need a primer. Some cause and effect scenarios are semi provocative, but this will likely go into a shelf, never to be reached for again.
informative
slow-paced
Subject matter was interesting but this book seemed a bit generic, rehashing material I've read numerous times in similar books. Good writing but nothing groundbreaking.
Fancy sounding drivel, unfounded speculation, and hype. The authors clearly don’t understand the technology. For example, in part two they discuss a mining truck in Australia that is fully automated. They say it’s because there are less “externalities” that it is able to be fully autonomous vs a car or road faring truck. This is nonsense. A mining truck on a single dirt road is a significantly easier programming problem. Truck goes to point A, turns around, goes back to point B. No people, other cars, dogs, or errant baby strollers to avoid.
This type of misconception permeates the book. Essentially the authors are smart sounding but without any sort of reasonable technical foundation to stand on.
This type of misconception permeates the book. Essentially the authors are smart sounding but without any sort of reasonable technical foundation to stand on.
informative
slow-paced
An excellent book on the economics of Artificial Intelligence. Steeped in both economics and AI/ML, this book steers clear of hype (or anti-hype), applying standard economic concepts to a rapidly emerging phenomenon. The book is geared to business readers not economists or policymakers but it has a lot to offer to everyone.
At the heart of the book is the concept that AI/ML is a "prediction machine" that is dramatically lowering the cost of making predictions, which will lead to making it cheaper to engage in existing practices but also will open up new possibilities. The authors mostly focus on what businesses need to do in order to take advantage of those opportunities but with a some broader social/political/policy context.
Highly recommended.
At the heart of the book is the concept that AI/ML is a "prediction machine" that is dramatically lowering the cost of making predictions, which will lead to making it cheaper to engage in existing practices but also will open up new possibilities. The authors mostly focus on what businesses need to do in order to take advantage of those opportunities but with a some broader social/political/policy context.
Highly recommended.