U.S. action against Anthropic this week has reignited a debate about who controls the future of AI — and sent crypto investors hunting for alternatives.
Canadian Prime Minister Mark Carney warned Sunday that the U.S. directive that took Anthropic’s most advanced models offline for foreign users highlights the danger of relying on a few big American providers. Speaking in Ireland ahead of the G7 summit in France, Carney said the Mythos and Fable shutdowns show the perils of concentration: “It is never a good idea to have one option,” he warned, urging governments and industry to “build out and diversify.”
What happened
- On Friday, a U.S. government order required Anthropic to cut access to its Fable 5 and Mythos 5 models for any foreign national, citing national security concerns. Anthropic complied and disabled both systems for all customers, though the company disputed the grounds for the order, saying the cited jailbreak can already be replicated on public models such as OpenAI’s GPT-5.5.
- Axios reported Commerce Secretary Howard Lutnick sent the letter to Anthropic CEO Dario Amodei, and Semafor said the move was driven in part by suspicion that a China-linked group had accessed Mythos.
- The dispute has major stakes for Anthropic: the company is nearing a reported $1 trillion valuation after annualized revenue above $47 billion.
Why crypto investors care
Carney framed the episode as an example of centralized AI’s single point of failure — a model and its controls sitting inside one company can be switched off for everyone by a single government order. That dynamic has helped trigger renewed interest in decentralized AI projects that distribute model hosting and governance across independent operators, often coordinated by blockchain protocols.
Market reaction
Decentralized AI tokens spiked after the Anthropic news. Per CoinGecko data cited by reporting, the sector’s market cap reached $24.3 billion, up about 6% on the day and 12% over the week. Smaller compute and data networks led gains: ChainOpera AI, io.net, Grass, and NOVA all climbed more than 30% over the past week. Larger players in the space also saw strong moves — NEAR Protocol rose 15.9% and Bittensor jumped 27.9% on the week.
Expert take — pros and limits of decentralization
Industry voices broadly back the idea that decentralization reduces single-point failures, but they caution it isn’t a silver bullet.
- Dan Dadybayo, strategy lead at Horizontal Systems, told Decrypt the Anthropic case “points to a risk that is largely unique to centralized AI,” comparing reliance on a few providers to the systemic risks that surfaced in the 2008 financial crisis. Distributing models across independent nodes, he said, removes a single “kill switch.”
- Peter Anthony, founder and CEO of Perceptron Network, agreed the episode exposed a “strategic vulnerability,” but pushed back on the notion that decentralization wholly solves the problem. Rising compute and data costs concentrate the heavy lifting (GPUs, data centers) with a small number of cloud providers, he warned: if decentralized models still run on chips owned by a few giants, “you’ve rebranded the risk, not removed it.”
Takeaway for the crypto ecosystem
The Anthropic shutdown crystallizes a key argument for crypto-aligned AI projects: decentralization can reduce dependence on single corporate chokepoints and create alternatives that are harder to censor or cut off. But investors and builders should also reckon with the deeper infrastructure question — who controls the compute and data layers that power these models? The market’s quick shift toward decentralized AI tokens reflects both excitement about alternatives and recognition that meaningful resilience may require decentralizing not just models and governance but the GPU and data supply chain too.
(Reporting note: details on the U.S. directive and internal communications were reported by Axios and Semafor; market data referenced CoinGecko. Anthropic’s side of the dispute was reported by the company; outlets have reported the company’s valuation and revenue figures.)
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