Grayscale launches a new AI cryptocurrency sector covering 20 altcoins
Authors: Kamina Bashir; Harsh Notariya,Beincrypto
Grayscale Investments, a well-known asset management company, recently announced the launch of a new artificial intelligence cryptocurrency segment, focusing on AI-related crypto projects. The sector includes 20 selected altcoins that are considered to have significant potential in the field of AI and blockchain convergence. Grayscale's move is designed to provide investors with a structured way to participate in this rapidly evolving technology intersection.
Quick Facts:
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Grayscale has launched an "AI Cryptocurrency Sector" that covers 20 altcoins focused on AI development and applications.
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The sector has the smallest market capitalisation of all crypto sectors at just $21 billion, but contains top projects such as Bittensor, Near, Render, and Worldcoin.
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The AI crypto space has grown more than 4x over the past two years, and decentralised AI is working to address key issues such as bias, censorship, and transparency.
Digital asset manager Grayscale has announced the launch of a new artificial intelligence (AI) cryptocurrency segment that includes 20 AI-related altcoins. This is the sixth section that the company has set up in its cryptocurrency classification framework.
The newly established AI sector is alongside the existing five categories: currency, smart contract platform, finance, consumer and culture, and tools and services.
Artificial intelligence takes centre stage, and Grayscale launches its own crypto sector
According to the official announcement, this new section groups together tokens whose main function revolves around the development or application of artificial intelligence.
"The addition of the AI cryptocurrency segment reflects the growing importance of decentralised infrastructure in shaping the future of this critical technology," Grayscale said. "
The AI Crypto section consists of three main categories:
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AI Platforms
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AI Tools and Resources
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AI Apps and Agents
The total market capitalisation of these 20 tokens is approximately $21 billion, making it the smallest of the sectors covered by Grayscale.
Among the newly created AI cryptocurrency sector, the largest project by market capitalisation is Bittensor (TAO), which has a market capitalisation of $3.8 billion. The list also includes other tokens such as Near (NEAR), Render (RNDR), Artificial Superintelligence Alliance (FET), Virtuals (VIRTUAL), and Worldcoin (WLD).
Grayscale AI Crypto (Source: Grayscale)
Notably, Worldcoin was removed from the "Utility & Services" category and VIRTUAL was removed from the "Consumption & Culture" category in Grayscale's Q2 2025 Assets to be Considered list. But they are now back and included in this new "artificial intelligence" section.
Although the AI crypto sector currently accounts for only about 0.67% of the total market capitalisation of the entire crypto market, Grayscale remains optimistic about its future growth.
The announcement reads:
"While we are still in the early stages of the development of the AI cryptocurrency sector, the Grayscale research team believes that this sector will become increasingly important as the AI industry grows and technology advances."
Grayscale also noted that in the first quarter of 2023, the total market capitalisation of tokens within the sector was only about $4.5 billion.
The sector's total market capitalisation has grown more than fourfold over the past two years, reflecting the growing interest in and adoption of decentralised AI. At the same time, Grayscale also pointed to some key upcoming developments that could further drive the sector's growth.
Grayscale said:
"Decentralized AI technology is rapidly evolving. In the coming months, Grayscale's research will focus on the following topics: (1) the halving event and subnet expansion of Bittensor, (2) innovation in distributed training, (3) signs of sustainable revenue, and (4) the use of stablecoins by AI agents. "
As the AI crypto sector gains traction, Grayscale highlights the potential of these decentralised AI projects to address the key issues posed by centralised AI, such as bias, censorship, and lack of transparency.
By leveraging blockchain's open and distributed infrastructure, these projects aim to democratise AI ownership, ensuring that AI technology remains in the public interest, accessible, and transparent.