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Grayscale Picks Bittensor as Anthropic's AI Costs Mount
Grayscale Research named Bittensor a top decentralized AI pick as Anthropic's costs mount. TAO surged 30% in five days, but on-chain activity has not kept pace with the price move.
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Grayscale Research named Bittensor (TAO) a top decentralized AI pick, citing the widening gap between centralized AI costs and the market's need for open alternatives. The call came in a report from Zach Pandl, Grayscale's Head of Research, who framed the sector as a structural opportunity as Anthropic and other centralized labs face rising capital demands.
TAO has already moved. The token is up nearly 30% over the past five sessions, tracking the report's release and a broader rotation into AI-related crypto assets. The question is whether the thesis has legs beyond the initial pump.
Pandl's argument rests on a simple cost problem. Anthropic, the AI lab behind Claude, is burning through cash at a rate that makes its business model look fragile. Training large language models costs hundreds of millions per generation. Inference costs scale with user adoption. The centralized model requires continuous fundraising, diluting early backers and concentrating control. Decentralized networks like Bittensor, by contrast, distribute compute costs across a global node network and reward participants with native tokens. The trade-off is speed and coherence – centralized models still outperform on raw benchmarks – but the cost curve bends in Bittensor's favor.
Grayscale's report is not a buy signal from the fund itself. The firm manages the Grayscale Decentralized AI Fund, which holds TAO alongside other tokens. Pandl's research note is a market call, not a portfolio disclosure. Still, the endorsement carries weight with the institutional audience Grayscale reaches.