Grayscale Unveils Decentralized AI Fund Backed by Top Tokens

• Grayscale launched a Decentralized AI Fund offering exposure to AI-driven crypto assets.
• Top holdings include TAO, NEAR, RENDER, FIL, and GRT, with TAO holding the largest fund share.
• The fund targets accredited investors seeking crypto-AI exposure without handling wallets.

Grayscale has expanded its crypto investments with the launch of a new product focused on decentralized artificial intelligence (AI). The Grayscale Decentralized AI Fund is designed to target accredited investors seeking investment opportunities in the AI and blockchain technology development.

Launched on April 21, the fund provides access to native tokens taken from top AI-oriented crypto projects, like NEAR Protocol, Bittensor (TAO), Render, Filecoin (FIL), and The Graph (GRT). Each token plays a different role in the decentralized AI ecosystem, ranging from computation networks to data storage and indexing.

At the launch, the fund revealed that it possessed over $1 million in assets under management, with shares trading at $4.82 per unit, gaining 14.22% on a single day. Further, Grayscale reported a total of 218,100 shares outstanding as of the latest update.

The fund’s largest allocation went to Bittensor’s TAO token, which made up 27.18%, followed by NEAR with a 24.54% share. Render held 22.75%, while Filecoin accounted for 17.26%. The smallest share of 8.27% went to The Graph. 

Grayscale’s fund structure aims to remove barriers to directly holding digital assets. The Decentralized AI Fund allows investors to gain exposure to token performance without handling wallets or private keys. Instead, they can buy fund shares that reflect the performance of the selected tokens.

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Moreover, the Grayscale Decentralized AI Fund is subject to a 2.50% management fee and does not offer any distributions. Further, Grayscale may rebalance the portfolio periodically, depending on its internal fund methodology.

With this launch, Grayscale demonstrates that institutional interest exists between AI and cryptocurrency research. As investors explore new models for decentralized computing and data usage, blockchain-based AI projects have gained momentum. Projects like Bittensor and Render are already known for their open AI models and distributed GPU networks.

Sharing its thoughts on X, Grayscale described the fund as a curated path for investors seeking exposure to the fast-evolving sector. It also noted that the fund has managed to make the decentralized AI assets into a single security product.

Grayscale’s product launch comes at a time when institutional investors are showing renewed appetite for crypto exposure. Further, the fund aligns with growing trends in AI adoption and blockchain innovation, especially among funds targeting next-generation technologies.

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