korrents

What Dylan Patel thinks about America

@dylan-patel · 50 positions · 0 changes of mind

Founder and chief executive of SemiAnalysis, the research firm that tracks the semiconductor and AI data-centre supply chain.

Dylan Patel did not write this page.

We collected these quotes from things they published elsewhere, and every quote links to where it was said. They have no account here and have not endorsed this site. Quotes are word for word; the short line under each one is our own restatement, not their wording. Their own site. Is this you? Claim it or ask us to remove it. Or tell us what is wrong here.

8 dated positions, 2025 to 2026, in their own words. Our reading of what Dylan Patel has said — not written or endorsed by them.

  1. Our readingAs labs sell finished white-collar work rather than reasoning traces, Chinese models will lose the ability to distil their way to parity.

    Their wordsAs we move from, you know, hey, [clears throat] these companies are selling tokens where they provide the entire uh reasoning chain and all that to uh selling automated, you know, white collar work, right? Automated software engineer, send them the request, they give you the result back and there's a bunch of thinking on the back end that they don't show you. The ability to distill out of American models into Chinese models will be harder.

    ↗Dylan Patel — The single biggest bottleneck to scaling AI computeyoutube.com 14th of 28 in this recording

    AI and jobs

    Interesting

  3. Our readingYou do not have to believe in AGI to believe in the timelines on which the United States wins the semiconductor race.

    Their wordsBut I don't know like I don't know what fast timelines means, right? Like I I like don't think you have to believe in AGI to have the timelines where the US wins.

    ↗Dylan Patel — The single biggest bottleneck to scaling AI computeyoutube.com 15th of 28 in this recording

    AGIsemiconductors

    Interesting

  5. Our readingGetting a data centre permitted in the empty middle of America is far easier than putting one in orbit.

    Their wordsAnd so I think people are figuring out how to build these things and permitting like I I just like ultimately like permitting and red tape in middle of nowhere Texas or middle of nowhere Wyoming or middle of nowhere like New Mexico is probably a hell of a lot easier than sending stuff into space

    ↗Dylan Patel — The single biggest bottleneck to scaling AI computeyoutube.com 23rd of 28 in this recording

    data centerspermitting

    Interesting
  6. 13 months earlier

  7. Our readingBuilding fabs in America does not reduce dependence on Taiwan: without Hsinchu, TSMC's Arizona plant would stop producing within a couple of years.

    Their wordsArizona is a paperweight. If Hsinchu disappeared off the face of the planet, within a year, couple years, Arizona would stop producing too.

    ↗DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459youtube.com 12th of 44 in this recording

    semiconductors

    Interesting

  9. Our readingCompletely in-sourcing semiconductor manufacturing to the United States is possible, and it would take a decade and a trillion dollars.

    Their wordsAnd so going back, can the US build it here? Yes, but it's going to take a ton of money. I truly think to revolutionize and completely in-source semiconductors would take a decade and a trillion dollars.

    ↗DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459youtube.com 14th of 44 in this recording

    semiconductors

    Interesting

  11. Our readingAmerican export controls police floating-point operations while memory and interconnect matter just as much, and reasoning models make that the wrong axis to control.

    Their wordsFLOP is the vector that the government has cared about historically, but the other two vectors are arguably just as important. And especially when we come to this new paradigm, which the world is only just learning about over the last six months: reasoning.

    ↗DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459youtube.com 16th of 44 in this recording

    government

    Interesting

  13. Our readingThe largest hole in America's GPU export controls was never physical smuggling but renting: ByteDance runs over 500,000 GPUs it does not own.

    Their wordsOne is ByteDance, arguably is the largest smuggler of GPUs for China. China's not supposed to have GPUs. ByteDance has over 500,000 GPUs. Why? Because they're all rented from companies around the world.

    ↗DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459youtube.com 28th of 44 in this recording

    Chinasemiconductors

    Interesting

  15. Our readingThe bottleneck on America's AI buildout is transmitting power, not generating it: in parts of the US, moving electricity costs more than making it.

    Their wordsInteresting thing is certain regions of the US transmitting power cost more than actually generating it because the grid is so slow to build. And the demand for power, and the ability to build power, and re-ramping on a natural gas plant or even a coal plant is easy enough to do, but transmitting the power's really hard.

    ↗DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459youtube.com 33rd of 44 in this recording

    energy

    Interesting