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ToggleGrayscale Groups 20 Cryptos, Develops New Classification Called Artificial Intelligence or AI-Here’s What it Implies
- Grayscale launches a new category of Artificial Intelligence (AI) and groups 20 cryptos, including Bittensor & Near Protocol
- With this, it aims to provide a benchmark index for AI-related virtual assets and offer new opportunities for investors, which may positively impact the prices
A leading giant and a popular virtual asset management company, Grayscale, established a new category called Artificial Intelligence. The announcement comes following the AI sector’s explosive growth, which has gained global attention and volume. The Grayscale Research Team recognized this to be the next big thing in the crypto space and added it to its 5 other categories, including currencies, Smart Contract Platforms, financials, consumer and culture, and utilities & services.
The newly created AI sector includes 20 assets with a combined market capitalization of around $21 billion. Some of the tokens included here are Bittensor, Near Protocol, GRASS, Akash Network, Virtual Protocol, etc., and more. As per the company, the Artificial intelligence sector shares a very negligible dominance of 0.67% compared to the financial sector or any other. Hence, the AI sector appears to be at the very early stages, but the applications are pretty large. And hence it is believed to grow in the coming years.
Grayscale: AI Dominates the Crypto Space
Over the past few months to a year, Artificial intelligence has been one of the most trending topics within the space. Although the other sectors were able to make some noise, it has managed to remain extremely dominant. This made the Grayscale researchers believe in the AI’s potential to complement centralized development. The adoption of projects like Bittensor, Render, FET, etc., and many more has been on the rise, and as a result, the sector has managed to attract a huge share of crypto narrative mindshare.
In the times when many more tokens have met the market capitalization and liquidity thresholds for inclusion in crypto sectors and many more anticipate their launch, AI deserves its own crypto sector. The Artificial intelligence sector now has over 20 cryptos and has been further divided into Platforms, Tools & Resources, and Applications and Agents.
- AI Platforms are those that work for the broad development of diverse AI applications built on top of them, like Bittensor & Near Protocol
- AI Tools & Resources are the resources needed for development, including data and compute, which include Grass (data scraping) and Akash (compute)
- AI Apps & Agents are the application layer of AI, including AI agents and applications addressing AI-related challenges, which are carried out by Virtuals & Kaito.
The Grayscale’s inclusion of the Artificial intelligence sector as its new category reflects the growing importance of the decentralized infrastructure in shaping the future of this underlying technology. However, the blockchain-based platforms also help the AI sector to ensure they become more open, accessible, and aligned with public interest.
Frequently Asked Questions (FAQ)
What are the top AI blockchain projects in 2025?
Some of the top AI-focused blockchain projects gaining attention in 2025 include:
Bittensor (TAO): A decentralized machine learning network that rewards AI models for contributions.
Fetch.ai (FET): An autonomous agent-based network enabling smart infrastructure and DeFi automation.
Render (RNDR): Provides decentralized GPU rendering power for AI and metaverse applications.
SingularityNET (AGIX): A decentralized AI marketplace allowing developers to share and monetize AI services.
Ocean Protocol (OCEAN): Focuses on data sharing for AI training, enabling secure data monetization.
What are AI crypto coins?
AI crypto coins are tokens that power blockchain platforms focused on artificial intelligence. These coins often serve multiple purposes such as:
Fueling AI model training and deployment
Incentivizing data sharing and compute power
Governing decentralized AI networks
Paying for services in AI-powered ecosystems
Examples include TAO, FET, AGIX, OCEAN, and RNDR.
Can AI be used for cryptocurrency?
Yes, AI is increasingly used in cryptocurrency in the following ways:
Trading algorithms: AI can analyze large datasets to optimize crypto trading strategies.
Fraud detection: Machine learning models detect unusual patterns and prevent hacks or scams.
Portfolio management: Robo-advisors and AI bots help rebalance portfolios and automate investments.
Sentiment analysis: AI tools gauge investor sentiment across news, social media, and on-chain data.
Decentralized AI networks: Some blockchains like Bittensor enable the training and rewarding of open-source AI models.
Can AI predict crypto prices?
AI can assist in predicting crypto prices, but it cannot guarantee accuracy due to the volatile and speculative nature of the market. AI-powered tools often use:
Historical price data
Market sentiment analysis
Technical indicators
Social and on-chain trends
These models can help traders make informed decisions, but should not be relied upon as financial advice. Human oversight and risk management remain crucial.
What crypto is linked with AI?
Several cryptocurrencies are directly linked with AI development or services. Notable ones include:
Bittensor (TAO): AI model training marketplace
Fetch.ai (FET): Autonomous economic agents for smart cities and DeFi
Render (RNDR): GPU computing for AI and visual rendering
SingularityNET (AGIX): AI service marketplace
Cortex (CTXC): On-chain AI model execution
Numerai (NMR): AI-powered hedge fund driven by data scientists
These cryptos power platforms where AI tools, data, and models are decentralized and democratized.
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