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The U.S. may be strategically allowing private and international capital to fund the race to Artificial General Intelligence (AGI). If a private company achieves a breakthrough, the government is likely to nationalize it for security, leaving investors with nothing, similar to the Manhattan Project.
The "Genesis Mission" aims to use national labs' data and supercomputers for AI-driven science. This initiative marks a potential strategic shift away from the prevailing tech belief that breakthroughs like AGI will emerge exclusively from private corporations, reasserting a key role for government-led R&D in fundamental innovation.
Because AI is framed as a systemic national security issue—an arms race with China—the US government is unlikely to let the industry fail. Individual companies might stumble, but the government will likely step in to prop them up or facilitate asset sales, creating an implicit taxpayer-funded backstop.
If an AI model like Anthropic's Mythos is capable of causing 'cataclysmic' economic damage, it may be too powerful for a private company to control. This raises the serious argument for nationalizing such technology, similar to how governments control bioweapons or nuclear capabilities, to manage the immense systemic risk.
When a private company creates a "digital skeleton key" capable of compromising critical national infrastructure, it fundamentally alters the balance of power. This moves the policy conversation beyond simple regulation and towards treating AI labs like defense contractors, with some form of government nationalization becoming a plausible endgame.
In a significant policy shift, the White House is exploring a "partnership" with AI labs that could involve the government taking financial stakes. This idea, floated by both Senator Bernie Sanders and President Trump, signals a move towards treating frontier AI as a national strategic asset.
The comparison to nuclear proliferation suggests AI's potential for harm is too great for private, profit-driven companies to manage. A prominent, typically anti-government technologist argued that President Truman would have nationalized AI, indicating the tech has reached a level of danger requiring state control.
Geopolitical competition with China has forced the U.S. government to treat AI development as a national security priority, similar to the Manhattan Project. This means the massive AI CapEx buildout will be implicitly backstopped to prevent an economic downturn, effectively turning the sector into a regulated utility.
The US and China view AI superiority as a national security imperative comparable to nuclear weapons, ensuring massive state funding. However, this creates a major risk for investors, as governments may eventually decide to nationalize or control leading AI companies for military purposes, compressing multiples.
By constantly comparing AI's power to nuclear weapons, tech leaders are making a powerful argument against their own independence. If the technology is truly an existential threat, it logically follows that it should be government-controlled for national security, not managed by venture-backed startups.
The White House blocked Anthropic's plan to expand access to its Mythos model, citing compute constraints that could hamper government use. This signals a move towards "soft nationalization": exerting control over private AI resources without a formal takeover.