When Governments Can Turn Off AI in 90 Minutes: The New Risk Investors Cannot Ignore

For years, investors have worried about competition, technological disruption, and regulation. But last week, the AI industry got a reminder that there is another risk hiding in plain sight.

Access itself.

And it can disappear almost instantly.

Anthropic’s Shock Weekend

Just two weeks after confidentially filing for what could become one of the biggest technology IPOs in history, Anthropic reportedly received an unexpected call from U.S. officials.

The message was simple:

The company had 90 minutes to take its two most advanced AI models, Fable 5 and Mythos 5, offline.

The order reportedly cited a “national security threat,” although no detailed explanation was initially provided. A formal export control order followed shortly after, requiring Anthropic to obtain government licenses before distributing these models globally or even providing access to non U.S. persons.

For a company valued at nearly $965 billion in its latest funding round, this was a startling development.

Not because AI models being regulated is surprising.

But because the speed was.

Ninety minutes.

That is all it took for a government action to fundamentally alter the availability of some of the world’s most advanced AI systems.

A New Kind of Risk for AI Investors

Most private market valuations assume continuity.

Revenue projections assume products remain available.
Growth projections assume customers remain accessible.
Expansion plans assume global distribution remains uninterrupted.

Anthropic’s experience shows that these assumptions may no longer hold true for frontier AI companies.

Political decisions, export restrictions, cybersecurity concerns, and national security considerations can now directly influence whether an AI company can continue serving customers.

Importantly, these risks are difficult to model.

Traditional valuation frameworks can estimate market size, customer growth, or competitive positioning.

They struggle to account for a phone call that changes everything within hours.

For investors evaluating private AI companies, this introduces a new question:

How much regulatory and geopolitical risk should be embedded into valuations?

The Industry Pushback

The response from the cybersecurity community was swift.

More than 80 cybersecurity executives and researchers publicly urged the White House to reverse the restrictions.

Their argument was straightforward:

Restricting advanced AI tools could weaken defenders while malicious actors continue advancing their own capabilities.

Several prominent security leaders argued that advanced AI systems are becoming essential tools for cybersecurity professionals.

The debate highlights a broader tension policymakers worldwide are struggling with:

  • How do governments protect national security?
  • How do they maintain technological leadership?
  • How do they avoid unintentionally slowing innovation?

These questions are unlikely to disappear.

In fact, they may become more important as AI systems continue improving.

Does This Risk Extend Beyond Anthropic?

Investors will naturally ask whether this episode creates broader implications for other leading AI companies.

Names such as OpenAI, xAI, Google DeepMind, and other frontier labs all operate in areas that increasingly overlap with national security concerns.

However, every company has different ownership structures, government relationships, geographic exposure, and product strategies.

A direct comparison may not always be appropriate.

Still, one thing is becoming increasingly clear:

Regulatory risk is no longer a side note in AI investing. It is becoming a core investment variable.

Meanwhile, SpaceX Continues Its Extraordinary Climb

While Anthropic spent the weekend managing uncertainty, SpaceX had a very different story to tell.

The company’s stock surged another 19.6% during its first full trading session, pushing its market capitalization above $2.5 trillion.

Equally important, underwriters exercised the IPO’s full greenshoe option, increasing the total amount raised from $75 billion to $85.7 billion.

For those unfamiliar, a greenshoe option allows underwriters to sell additional shares beyond the original offering size if investor demand proves strong.

The fact that the full option was exercised sends a clear signal:

Investor demand was deep enough to absorb additional supply without difficulty.

In simple terms, the market wanted more SpaceX shares.

A lot more.

Why SpaceX’s Success Matters

For months, market participants have debated whether public investors would still support mega sized technology listings.

SpaceX may have answered that question.

Strong demand for one of the world’s largest private companies suggests that public markets remain willing to support enormous technology offerings, provided investors believe in the underlying business.

This matters because several high profile private companies are believed to be considering public listings.

Among them is OpenAI, which reportedly submitted confidential IPO paperwork earlier this month.

The question is no longer whether giant private companies can access public capital.

The question is:

Who goes public next, and at what valuation?

The Bigger Picture

The past week offered two very different lessons.

From Anthropic:

  • Political and regulatory risk can emerge suddenly.
  • Global access to AI products is not guaranteed.
  • Valuations may need to reflect geopolitical realities.

From SpaceX:

  • Investor appetite for transformational companies remains extremely strong.
  • Public markets continue rewarding businesses with compelling long term narratives.
  • The IPO window for large private technology firms may be reopening.

For investors, these stories highlight a new reality.

Technology leadership alone is no longer enough.

The future value of AI companies may depend not only on what they build, but also on how successfully they navigate governments, regulation, and geopolitics.

And that could prove just as important as the technology itself.

What do you think? Is regulatory risk now one of the biggest factors investors should consider when evaluating AI companies?