Building national AI capacity on sovereign infrastructure is sound policy for smaller countries, not merely a way to sell deployments.

14 source(s) assert this claim, 2 deny it.

Who asserts it

And now of course the world is large and for many countries and companies they must build their own intelligence. They can't outsource their fundamental intelligence to a third party. And so I think you should you should um uh apply and adopt and rent intelligence from cloud services wherever you can. Um however you can't outsource your own intelligence. You should build your own custom AI. The Palunteer CEO went viral for his interview warning about giving up your alpha, your intellectual property to the Frontier Labs. You're in a unique position.

Jensen Huang: 'AI Doomers Have It Wrong' — Axios Interview Full Transcript — 2026-07-23

While the great innovation that comes from model providers having fair use rights to train models on public data is needed, I find it ironic that the status quo is to then turn around and impose restrictive terms on distillation, and to reserve the right to learn from customer usage and interaction data. If learning flows in only one direction, economic value converges toward the owners of the learning infrastructure rather than the creators of the knowledge itself.

Satya Nadella: The Reverse Information Paradox — Full Text — 2026-07-13

At some point in the future, individual bad actors may be able to use the intelligence of AI models to fabricate entirely new harms from the information available on the internet. At this point, the balance of power will be critical to AI safety. I think it will be better to live in a world where AI is widely deployed so that larger actors can check the power of smaller bad actors. This is how we've managed security on our social networks — our more robust AI systems identify and stop threats from less sophisticated actors who often use smaller scale AI systems.

Mark Zuckerberg: Open Source AI Is the Path Forward — Full Manifesto — 2024-07-23

Who denies it

Um I I think that that um regulation uh of the technology uh needs needs to think about the unintended consequences of regulation. Um um we we need to think about think about uh AI not in the con context of some kind of a foot race in a 100 meter dash. Um, the narrative that whoever gets to the 100 meter dash, whoever wins that wins it forever is nonsense. The idea that >> And here you're talking about the US and China. >> That's right. It's complete nonsense. All of those stories being made up is scaring Washington DC. We're >> And do you think it's scaring the White House?

Jensen Huang: 'AI Doomers Have It Wrong' — Axios Interview Full Transcript — 2026-07-23

Accepting this race and entering the “endgame” is a hubristic gamble that should not be launched from a private company’s Slack. Attempting to speedrun alignment should require extraordinary confidence that there are no better trajectories available.

I resigned from Anthropic today — the whistleblower thread — 2026-09-09

, blog post the Sunday before: no AI company has "solved alignment and monitoring to a sufficient degree to continue responsibly scaling at maximum speed for much longer." / "I expect and hope for voluntary slowdowns to become commonplace until shared safety bars are established. And I believe that international coordination on future AI development needs to become a top priority for governments around the world." -

I resigned from Anthropic today — the whistleblower thread — 2026-09-09

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