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BackYuma Launches Fund for Institutional Access to Bittensor's Decentralized AI Ecosystem
Yuma Launches Fund for Institutional Access to Bittensor's Decentralized AI Ecosystem
Tecnología
Cointelegraph27.06.2026Tecnología2 dk okuma

Yuma Launches Fund for Institutional Access to Bittensor's Decentralized AI Ecosystem

Investment vehicle provides diversified exposure to TAO token and AI-focused subnets

En resumen

Yuma's Total Market Fund offers institutional investors a single-point entry to Bittensor's decentralized AI ecosystem, including its TAO token and 128 subnets, amidst growing institutional interest and regulatory shifts in the AI sector.

Resumen generado por IA

Por qué importa

Decentralized AI platforms like Bittensor offer an alternative to centralized AI models, attracting institutional investors amid regulatory scrutiny.

Tamaño de fuente

Yuma, a Digital Currency Group-backed investment company, has launched a fund that gives institutional investors diversified exposure to the Bittensor ecosystem, as asset managers expand investment products tied to decentralized AI.

According to a Thursday announcement, the Yuma Total Market Fund provides exposure to Bittensor’s native TAO token and a basket of AI-focused subnets through a single investment vehicle. The strategy is intended to simplify access to the broader Bittensor ecosystem without requiring investors to select individual subnet tokens. The fund launched with seed capital from an undisclosed anchor investor.

Bittensor is a decentralized network that supports the development of AI infrastructure and applications through specialized subnets spanning areas such as compute, marketplaces and identity. According to Yuma, the network's 128 subnets represent more than $900 million in combined value. However, data from network tracker Taostats shows a combined subnet value closer to $300 million. TAO, the native token of the Bittensor ecosystem, has a market capitalization of nearly $2.4 billion. Source: CoinMarketCap

Institutional interest in the Bittensor ecosystem has grown alongside the network’s expanding subnet economy. In April, Grayscale increased TAO’s weighting in its Grayscale Decentralized AI Fund to 43% during the fund’s quarterly rebalance. TAO’s allocation has since fallen to about 20%, with Near Protocol's NEAR now comprising the fund’s largest holding at roughly 44%. Asset managers are also seeking to broaden investor access to TAO. Bitwise filed for a TAO Strategy ETF with the US Securities and Exchange Commission (SEC) in April, while Grayscale submitted an amended registration statement to convert its existing Bittensor Trust into a spot TAO exchange-traded fund that would list on NYSE Arca if approved.

Related: Amazon warning triggered US crackdown on Anthropic AI models: Reports

Anthropic restrictions renew focus on decentralized AI

The case for decentralized AI, which distributes AI infrastructure and computing across blockchain-based networks rather than relying on a single provider, gained renewed attention after the US Commerce Department suspended public access to Anthropic’s Fable 5 and Mythos 5 models over national security and export control concerns. At the time, Grayscale head of research Zach Pandl said the restrictions underscored the risks of relying on centralized AI providers.

The government order limiting access to Anthropic’s Fable 5 and Mythos 5 “highlights the risks of centralized control of AI,” Pandl said. “We expect demand for decentralized AI, like Bittensor and its TAO token, to rise as investors seek alternatives.”

The restrictions appear to be easing. The Commerce Department restored access to Mythos 5 on Friday, and Axios reported Saturday that the Trump administration is expected to allow Anthropic to resume public access to Fable 5 as soon as next week.

Qué observar

Perspectiva de IA — posibilidades, no hechos

  • Increased demand for decentralized AI solutions

    Probable · Medio plazo

Preguntas abiertas

  • Future performance of TAO token
  • SEC's decision on Bitwise's ETF filing

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This article was originally published by Cointelegraph.

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