Published January 23, 2026 · Updated January 25, 2026
Artificial intelligence is no longer confined to centralized platforms and public markets. A growing part of the AI ecosystem is emerging within crypto — through decentralized compute networks, data marketplaces, AI protocols, and infrastructure designed to support machine intelligence without centralized control.
This page is being developed as a thematic overview of AI-related cryptocurrencies. Rather than focusing on short-term price movements, trading strategies, or automation tools, it approaches AI crypto as an allocation theme within a broader AI investing framework.
The purpose of this page is to help investors understand what qualifies as an “AI cryptocurrency,” how different projects fit within the AI stack, and how this segment differs from both traditional crypto assets and centralized AI equities.
When complete, this guide will explore:
- the main categories of AI cryptocurrencies (compute, data, models, infrastructure)
- how AI crypto projects differ from general-purpose blockchain platforms
- the role of decentralization in AI development and deployment
- risk factors specific to AI-focused crypto assets
- how AI cryptocurrencies may fit into a diversified AI allocation
This page does not provide trading strategies, bot integrations, or short-term performance analysis. Instead, it is designed to clarify what AI crypto represents as an investment theme, and how it compares to AI exposure through stocks, ETFs, or private markets.
For a broader strategic foundation, start with What Is AI Investing? A Complete Guide to Stocks, ETFs & Crypto (2026).
For readers interested specifically in portfolio construction and risk, the AI Crypto Investing section explores allocation logic and structural considerations in more detail.
This page will be expanded and updated as decentralized AI ecosystems, token models, and market structures continue to evolve.
