Quote · The Prof G Pod with Scott Galloway
China Decode: Why China Got Locked Out of SpaceX and America’s Biggest IPOs (ft. Ed Elson)
Where this was said
China Will Bend the Economy for Workers — America Won't
At 1:07:04 · chapter starts 1:06:00
Ed Elson delivers the episode's sharpest analytical observation: proactive AI regulation isn't just good ethics, it may be good strategy. If workers trust the government to protect them, they'll embrace the technology. A KPMG and University of Melbourne survey quantifies the gap starkly: 90% of Chinese respondents are excited about AI versus less than 40% of Americans. Ed connects this to the data center opposition story — tens of billions blocked in 2025, 19 states considering restrictions — arguing that America's regulatory vacuum is generating a public backlash that is materially slowing infrastructure buildout. China's approach, by contrast, creates public buy-in. He acknowledges this doesn't require glorifying the CCP, but argues that the White House's libertarian reflex is creating an own-goal that could hand China a structural advantage in the AI buildout over the long term.
Tens of billions in US data center projects were blocked in 2025 due to public opposition, with 19 states considering construction restrictions or outright bans. Ed Elson argues this is a direct result of Washington's failure to regulate AI proactively — and it may end up handing China a structural advantage.
Tens of billions of dollars worth of data centers were blocked in the US in 2025 due to political pushback, with 19 states considering restrictions on data center construction.
A KPMG/University of Melbourne survey found nearly 90% of Chinese respondents were excited about AI, compared to under 40% of Americans.
The US-China AI decoupling narrative has a problem: it isn't happening at the enterprise level. Alice Han reports that major US tech companies she encountered are actively using Chinese open-source models like Qwen because they're dramatically cheaper than OpenAI or Claude. Deepseek's models are reportedly 96% cheaper than OpenAI's equivalent.
