They turned off our AI - now what?
What happens when the government switches off an AI?
For most people, AI is a text field in a browser window: you type something in, something useful comes out. That framing makes it hard to see what AI has quietly become for organizations across research, healthcare, education, and industry, all critical infrastructure. And in the summer of 2026, we learned just how fragile that infrastructure can be.
In this episode of Modem Futura, hosts Sean Leahy and Andrew Maynard unpack the saga of Anthropic's Fable, the most capable AI model yet released to the public. Three days after launch, a U.S. Commerce Department export control directive declared it a national security concern, barring access for non-U.S. citizens. Because no platform can verify the citizenship of its users, the model effectively disappeared for everyone — including the researchers inside Anthropic who built it. Weeks later, it returned as suddenly as it left.
The episode treats this less as a news story than as a signal. Futurists have long used sudden technology loss as a hypothetical scenario; like the pandemic scenarios that preceded 2020, it has now crossed from the abstract to the lived. Once that happens, the questions change, if a government can switch off a frontier model at the close of business on a Friday, what does responsible AI adoption look like for a hospital, a university, a business? Where is the line between experimenting on the fringes and building your operations on ground that can move?
One answer explored in the conversation is local AI — smaller models running on hardware you control. They can't match the capability of cloud-based frontier systems (yet) and the hosts are honest about that trade-off. But the Fable episode gave the local argument its first piece of hard evidence, and it may point toward a future of hyper-specific local tools working alongside more powerful, more revocable cloud platforms.
The deeper thread is governance, and even the invocation of the big R-word (regulation). The directive was triggered by capability that regulators had never seen before, and capability is not slowing down. Governing technologies like these will take more than technologists and more than policymakers — it requires people who can work across disciplines, translating between the builders, the philosophers now being hired into AI labs, and the institutions trying to keep up.
The episode doesn't land on tidy answers, because there aren't any yet. What it offers instead is a way of thinking about dependency, sovereignty, and resilience while the ground is still shifting — which is, after all, when thinking matters most.
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