AI Superpowers: China, Silicon Valley, and the New World OrderTHE NEW YORK TIMES, USA TODAY, AND WALL STREET JOURNAL BESTSELLER "Kai-Fu Lee believes China will be the next tech-innovation superpower and in AI Superpowers: China, Silicon Valley, and the New World Order, he explains why. Taiwan-born Lee is perfectly positioned for the task."—New York Magazine In this thought-provoking book, Lee argues powerfully that because of the unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power. Most experts already say that AI will have a devastating impact on blue-collar jobs. But Lee predicts that Chinese and American AI will have a strong impact on white-collar jobs as well. Is universal basic income the solution? In Lee’s opinion, probably not. But he provides a clear description of which jobs will be affected and how soon, which jobs can be enhanced with AI, and most importantly, how we can provide solutions to some of the most profound changes in the future of human history. |
Contents
1 | |
2 Copycats in the Coliseum | 22 |
3 Chinas Alternate Internet Universe | 51 |
4 A Tale of Two Countries | 81 |
5 The Four Waves of AI | 104 |
6 Utopia Dystopia and the Real AI Crisis | 140 |
7 The Wisdom of Cancer | 175 |
8 A Blueprint for Human Coexistence with AI | 197 |
9 Our Global AI Story | 226 |
Back Matter | 233 |
Back Flap | 257 |
Back Cover | 258 |
Spine | 259 |
Other editions - View all
Common terms and phrases
ability algorithms already American approach artificial intelligence automation autonomous become began believe better building called cars China Chinese cities coming companies competition copycat core countries created cultural decades deep learning driving early economic ecosystem engineers entrepreneurs environment experience face funding future give given global Google human impact implementation industries innovation investment kind labor lead lives look machines major means million mind mobile move networks optimize payments percent platforms predict problems questions remains require robots share Silicon Valley simply social speech startups tasks things tion took trained turned understand United universe users workers