
Sign up to save your podcasts
Or


Dan Wang is a research fellow at Stanford's Hoover Institute and author of "Breakneck: China's Quest to Engineer the Future." After spending six years living in Hong Kong, Beijing, and Shanghai (2017-2023), Dan witnessed China's technology growth, the US-China trade and tech war, Xi Jinping's increasing authoritarianism, and three years of zero-COVID pandemic controls firsthand.
What you'll learn:
In this episode, we cover:
(00:00) Introduction and Dan's AI/electricity thesis
(01:15) Dan's journey from San Francisco tech to China analyst
(03:40) Engineering society vs lawyerly society framework
(04:21) Why engineers running governments can be dangerous
(05:46) The one-child policy: designed by a missile scientist
(06:56) China's path from Mao to engineering-focused leadership
(09:51) America's transformation from builder to regulator (1960s shift)
(11:08) Can the pendulum swing back? Housing, transit, and infrastructure failures
(13:12) The self-reinforcing nature of lawyerly societies
(14:12) Yale Law ambition vs Stanford engineering ambition
(16:13) Is there bipartisan consensus on building?
(17:41) Why left and right can't agree on solutions
(19:32) China's engineering design flaws and authoritarian feedback loops
(22:19) US technological advantages: semiconductors, AI, aviation
(23:07) The electricity bottleneck: China's massive power advantage
(24:31) If AI is everything, what should America do?
(26:29) Why Dan doesn't buy the "AI is everything" premise
(27:27) Robotics as the real AI battleground
(29:35) Silicon Valley codes, China builds power plants
(30:37) Anti-AI populism emerging on left and right
(33:41) Dan's meta process: philosophy, eating, traveling, reading, being provocative
(37:20) China's rural infrastructure and redistribution through building
(40:39) Peter Thiel question: acknowledging China's dual reality
(44:54) America's core tension: works great for the rich, broken for everyone else
(46:35) Will China get stuck in the 2010s like Japan in the 1980s?
By Immad Akhund and Rajat Suri4.7
1313 ratings
Dan Wang is a research fellow at Stanford's Hoover Institute and author of "Breakneck: China's Quest to Engineer the Future." After spending six years living in Hong Kong, Beijing, and Shanghai (2017-2023), Dan witnessed China's technology growth, the US-China trade and tech war, Xi Jinping's increasing authoritarianism, and three years of zero-COVID pandemic controls firsthand.
What you'll learn:
In this episode, we cover:
(00:00) Introduction and Dan's AI/electricity thesis
(01:15) Dan's journey from San Francisco tech to China analyst
(03:40) Engineering society vs lawyerly society framework
(04:21) Why engineers running governments can be dangerous
(05:46) The one-child policy: designed by a missile scientist
(06:56) China's path from Mao to engineering-focused leadership
(09:51) America's transformation from builder to regulator (1960s shift)
(11:08) Can the pendulum swing back? Housing, transit, and infrastructure failures
(13:12) The self-reinforcing nature of lawyerly societies
(14:12) Yale Law ambition vs Stanford engineering ambition
(16:13) Is there bipartisan consensus on building?
(17:41) Why left and right can't agree on solutions
(19:32) China's engineering design flaws and authoritarian feedback loops
(22:19) US technological advantages: semiconductors, AI, aviation
(23:07) The electricity bottleneck: China's massive power advantage
(24:31) If AI is everything, what should America do?
(26:29) Why Dan doesn't buy the "AI is everything" premise
(27:27) Robotics as the real AI battleground
(29:35) Silicon Valley codes, China builds power plants
(30:37) Anti-AI populism emerging on left and right
(33:41) Dan's meta process: philosophy, eating, traveling, reading, being provocative
(37:20) China's rural infrastructure and redistribution through building
(40:39) Peter Thiel question: acknowledging China's dual reality
(44:54) America's core tension: works great for the rich, broken for everyone else
(46:35) Will China get stuck in the 2010s like Japan in the 1980s?

1,289 Listeners

530 Listeners

173 Listeners

1,087 Listeners

2,081 Listeners

230 Listeners

9,799 Listeners

191 Listeners

488 Listeners

160 Listeners

260 Listeners

131 Listeners

510 Listeners

22 Listeners

39 Listeners