Tokens linked to decentralized AI projects rallied after the US government ordered Anthropic to restrict foreign access to its latest AI models, giving investors a fresh reason to look beyond centralized AI platforms.
The move quickly became a market signal. Within 12 hours of Anthropic disabling access to Fable 5 and Mythos 5, Bittensor’s TAO token jumped 30%, reaching a three-week high near $283.
Grayscale’s head of research, Zach Pandl, said the episode showed how much control centralized companies and governments can have over advanced AI tools. In a research note, he wrote that Anthropic’s decision to shut down access to the models demonstrated “centralized control over advanced AI technologies” and highlighted the need for decentralized alternatives.
According to Pandl, Bittensor offers a different model: an open, global network for accessing AI resources. He described the project simply as “Bitcoin, but for AI.”
Grayscale expects demand for decentralized AI solutions, including Bittensor and its TAO token, to keep growing as investors search for alternatives to large AI labs.
On June 12, US authorities ordered Anthropic to suspend foreign nationals’ access to Fable 5 and Mythos 5 because of national security concerns. Anthropic complied by disabling both models for all users, reportedly because it could not quickly separate foreign users from US-based customers.
That detail became one of the most important parts of the story.
The restriction was aimed at foreign access, but the result affected everyone. For critics of centralized AI, it was a clear example of how quickly access to powerful models can be changed, limited, or removed when control sits with one company and a small number of regulators.
Entrepreneur and author Brett Hurt also described the shutdown as a major precedent. He argued that once a government can force a commercial AI model offline overnight, without public hearings, technical justification, or appeal mechanisms, every AI lab in the country begins operating under implicit limits.
The market reaction suggests that some investors agree. When access to centralized AI tools becomes uncertain, decentralized networks can start to look less like a niche idea and more like a hedge against control.
The rally in Bittensor does not prove that decentralized AI will replace major labs. It does, however, show that markets are beginning to price in the risks of centralized access.
As AI becomes more powerful, access to models is turning into an economic resource. Governments may increasingly decide who can use advanced systems. Large labs may also decide which users, regions, and industries can access their models.
That creates an opening for decentralized AI projects, especially those that promise open participation and censorship-resistant infrastructure.
The Hard Question For AI Export Controls
The biggest unresolved issue is whether model access can truly be controlled once advanced AI systems become easier to copy, distribute, or recreate.
API restrictions can limit access through official channels, but they may also push motivated users toward alternative routes. That could include open-source models, private deployments, offshore infrastructure, or decentralized networks such as Bittensor.
For now, the Anthropic shutdown has given decentralized AI its strongest market narrative in months. TAO’s rally shows that traders are paying attention. The larger question is whether this moment turns into lasting adoption or remains another short-term crypto reaction to a headline.
Either way, the message from the market was clear: when centralized AI access can disappear overnight, demand for alternatives becomes much easier to understand.
