Anthropics Fable 5 and Mythos 5 Shut Down by US Export Directive, Decentralized AI Tokens Rally
The directive followed warnings from Amazon and White House officials that the models’ capabilities could be weaponised for software‑vulnerability discovery and other high‑risk tasks. Anthropic said it was negotiating to restore access and described the order as a misunderstanding. The shutdown sent shockwaves through the crypto‑AI sector, which is valued at roughly $22 billion according to CoinGecko, a fraction of Anthropic’s $965 billion valuation.
Within hours of the announcement, the native token of Bittensor—TAO—spiked 30 % and climbed 39 % over the next few days, reaching a three‑week high of about $283 before settling near $236, an 11 % weekly gain. Akash Network’s AKT surged 18 %, and Morpheus’s MOR gained 16 %. The broader crypto‑AI token mix saw modest gains: Ether rose 1.7 % and Solana 4.3 %.
"Anthropic’s access to AI is at will," said Jake Brukhman, CEO of CoinFund, on a Defiant panel. "It’s at the pleasure of big private companies and the whim of the government." Brukhman added that the order caused a near‑global shutdown of the models.
Decentralized‑AI advocates point to the incident as evidence that centralized models are vulnerable to state control. Illia Polosukhin, co‑founder of NEAR Protocol, said the layered restrictions "amount to controlling what people can ask rather than what they do." He warned that the order set a precedent for internet censorship, noting that the U.S. government has shown it can ban any U.S.‑made internet product on a whim.
NEAR, which operates a cross‑chain settlement layer called NEAR Intents, reported holding about $92 million in assets and generating roughly $2.4 million in fees over the prior 30 days, according to DefiLlama. NEAR’s token rose 8 % over the week following the shutdown. Other tokens in the space also saw gains: NEAR Protocol’s NEAR up 8 %, Bittensor’s TAO up 11 %, Render’s RENDER up 4 %, Venice’s VVV up 2 %, and Fet’s FET up 1 %.
Industry observers note that while decentralized AI projects can offer censorship resistance, they still lag behind centralized labs in model quality and scale. Jesus Rodriguez, founder of Sentora, said the gap has widened, and that decentralized models have not yet found product‑market fit.
Haseeb Qureshi of Dragonfly warned that the economics of training frontier models on distributed networks remain prohibitive, citing bandwidth costs and the lack of large, curated datasets. He also cautioned that cheaper, ungated AI could increase offensive cyber capabilities.
As of now, Anthropic remains in talks to lift the ban, while decentralized‑AI tokens continue to trade above pre‑shutdown levels. The incident has highlighted the tension between state‑level regulatory power and the crypto community’s push for open, permissionless AI infrastructure.
The situation remains unresolved: it is unclear whether Anthropic will comply with the directive, how the U.S. government will enforce the ban, and whether decentralized AI projects will close the performance gap with centralized models in the coming months.