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Back to Eric Schmidt scores US vs. China: who’s winning the AI race?, with Eric Schmidt & Bob Safian.

How Much Power Does American AI Need?

Eric Schmidt says American AI needs somewhere between 60 and 80 gigawatts of power to get through 2030 and 2031. One gigawatt costs about $50 billion and is about one nuclear power plant, and new plants are not going up at a high rate. He leaves open whether the new power can be financed.

China has infinite energy, most of it renewable, a buildout the United States said it would do 10 years ago and failed to do. Interconnection queues do not run seven years, and China does not have the kind of debates. Data centers are going up at massive scale. Even with a much more restricted financial market, China has funded the startups. DeepSeek is seeking funding and just did a huge raise. The funding looks like it is going to show up. Investing in DeepSeek is illegal under United States law. He tried. In China you never know if the money is the government or the private sector. Friends in China say it is the private sector and the economics are going to work. China is on its way and still does not have the chips.

The United States has the smart people, the controversy, and funding markets deep enough to raise $50 billion on a text message. The American financial industry is financing the hobbies. The gaps are energy and data centers. An old quote from de Tocqueville, 250 years ago, called America great because of the optimism of its people, the abundance of the land, and the absence of a king. Empty land can hold the data centers, which helps the local economy, and the power plants have to be built alongside them.

Grokipedia·Eric Schmidt·United States

Transcript

Eric Schmidt scores US vs. China: who’s winning the AI race? ·

Masters of Scale

More from this episode

  1. How Far Behind Is China in the AI Race?Eric Schmidt says China is now six months behind in the race to build reasoning and intelligence systems.
  2. Why Did China Choose Open-source AI Models?Eric Schmidt says China chose open-source and open-weight models because it was behind and needed users quickly. America's large models are mostly closed.
  3. What Did AI Do to Math in One Month?Eric Schmidt says mathematicians face Armageddon: everything in their world was overthrown in one month.
  4. Why Does Sending Chinese PhD Students Away Hurt the US?Eric Schmidt gives the United States the edge on leadership and talent, then says the country is giving that edge away.
  5. Is the US-China AI Race a Zero-sum Game?Eric Schmidt tells Bob Safian the AI race is not a zero-sum game, and that China is not an enemy. Competitors can still create a whole new market.

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