to leave a comment.

▲ Artificial Intelligence (AI)
Cryptocurrencies combining artificial intelligence (AI) and blockchain are emerging as a major investment narrative in the 2026 digital asset market. Separately from the centralized big tech-centric AI competition, blockchain-based decentralized AI networks are forming a new growth axis, leveraging computing power, data infrastructure, AI agents, and on-chain execution environments.
The Crypto Basic, on May 14 (local time), presented 10 notable AI cryptocurrencies based on market capitalization. The publication defined AI cryptocurrencies not merely as tokens with the name AI, but as an asset class where artificial intelligence is integrated into the core infrastructure of the project. Key areas identified include decentralized computing networks, AI model training platforms, data infrastructure, AI agent platforms, and AI-native Layer 1 blockchains.
The first project mentioned was Bittensor (TAO). Bittensor is a decentralized P2P machine learning network with a structure where AI models compete in specialized subnets to provide computational services. According to the article, Bittensor supports up to 128 specialized subnets, completed its first halving in December 2025, reducing the daily TAO issuance from 7,200 to 3,600. The total supply of TAO is capped at 21 million, and the article also stated that Grayscale applied for a Bittensor spot ETF, with a decision expected in August 2026.
NEAR Protocol (NEAR) was introduced as a project that has repositioned itself as an 'agentic commerce' infrastructure where AI agents can transact on behalf of users. According to the article, NEAR offers transaction finality in less than 600 milliseconds and recorded 1 million transactions per second performance in tests. Internet Computer (ICP) gained attention for its approach of running AI models entirely on-chain without relying on traditional cloud providers.
The Artificial Superintelligence Alliance (ASI/FET) was presented as an AI cryptocurrency alliance formed by the combination of Fetch.ai, SingularityNET, and Ocean Protocol, integrating autonomous agents, AI service marketplaces, and data markets into a single ecosystem. Render (RENDER) is a decentralized GPU network that connects surplus GPU computing resources with developers and studios in need, expanding from 3D rendering to AI training and inference. The Graph (GRT) was mentioned as a data infrastructure project that helps AI applications efficiently utilize blockchain data.
Virtuals Protocol (VIRTUAL) is a platform where developers can create and monetize AI agents that operate autonomously on-chain, highlighting the introduction of multi-blockchain support and no-code tools in 2026. Akash Network (AKT) was introduced as a decentralized cloud marketplace where GPU resources can be leased at lower costs than major cloud providers, and in 2026, it connected network usage with AKT burning mechanisms through the Burn-Mint Equilibrium upgrade. SKYAI (SKYAI) as a multi-chain AI data infrastructure and Siren (SIREN) as an AI agent-themed token were each included in the top 10 AI cryptocurrency list. However, the article also pointed out that while AI cryptocurrencies are a high-growth sector, they also carry risks such as price volatility, execution risk, regulatory uncertainty, token dilution, and the proliferation of fake AI projects.
*Disclaimer: This article is for investment reference only, and we are not responsible for any investment losses based on it. The content should be interpreted for informational purposes only.*
Newsletter
Get key news delivered to your email every morning
to leave a comment.