Blockchain and artificial intelligence (AI) are two technologies that are changing the world, and their paths are increasingly intersecting. One result of this convergence is AI tokens — digital assets created to support decentralized platforms where AI computations can be performed, data can be exchanged, and models can be deployed.
The main idea behind these tokens is to take control of AI technologies away from centralized corporations, where users rarely truly own their data, and transfer it to open, community-managed ecosystems. At its core is the philosophy of blockchain: decentralization, user sovereignty, and ownership of data and computing processes. Such systems operate without centralized control and are designed to avoid a single point of failure and enhance user privacy.
The hype around AI tokens intensified dramatically after the release of ChatGPT in late 2022. This breakthrough not only brought generative AI to the attention of the general public, but also caused a noticeable reaction in the cryptocurrency markets. Research shows that AI-related crypto assets showed abnormally high returns immediately after the launch of ChatGPT, peaking at over 41% growth within two weeks.
Such rapid price growth raises legitimate questions about the real value of these tokens:
- How do current AI-based tokens function on different blockchain platforms, particularly in terms of their technical architecture, token utility, consensus mechanisms, and business models?
- What are the main limitations and challenges that prevent projects using AI tokens from offering clear advantages over existing centralized AI services?
- What technical limitations currently hinder the development and wider adoption of AI-based tokens, particularly with regard to autonomous computing, limited on-chain capabilities, and scalability issues?
- What promising innovations and development strategies could potentially support the next generation of AI-based tokens, particularly in terms of increasing practical utility, improving system resilience, and promoting the development of more reliable and inclusive decentralized AI ecosystems?
How popular AI projects work
To understand what AI tokens are, let’s look at a few key projects that are shaping this market.
Render (RNDR) is a decentralized network for rendering and other tasks requiring high GPU power, built on Ethereum and Solana. The platform connects those who need computing resources (e.g., for 3D rendering or AI model training) with those who have spare capacity. The RNDR token is used to pay for services, staking, and protocol management. Task integrity is verified through the Proof-of-Render mechanism.
Bittensor (TAO) Bittensor is a decentralized AI network on its own blockchain, created using the Substrate framework. The project uses the Yuma consensus, a variation of Delegated Proof-of-Stake, where rewards depend on the performance of the AI model. The network consists of a main chain and specialized subnets for different tasks (NLP, image classification, etc.). Miners (AI model operators) receive rewards in TAO tokens, which are also used to pay commissions, stake, and vote. The key idea is Proof-of-Intelligence, where mining is replaced by the generation and verification of useful AI results.
Fetch.ai (FET) is a first-tier blockchain based on Cosmos SDK, created to support autonomous software agents. Within the network, agents — essentially digital twins — can negotiate, conclude deals, and perform tasks based on real-time data. The native FET token is used to pay fees, agent services, staking, and governance. The platform aims to create a decentralized agent economy to solve problems in areas such as DeFi, logistics, and smart cities.
SingularityNET (AGIX) Originally built on Ethereum and later expanded to Cardano, SingularityNET is a decentralized marketplace for AI services. Developers can list their AI solutions in a public registry, and users can pay for them with AGIX tokens. The models themselves run off-chain, and the blockchain is used for coordination: searching for services, making payments, and tracking reputation. AGIX is also used for staking and governance participation.
Ocean Protocol (OCEAN) This project focuses on creating a decentralized infrastructure for data exchange. Ocean Protocol allows you to securely share data sets for AI training without revealing the source data itself, thanks to the “Compute-to-Data” mechanism. Access to datasets is implemented through special datatoken (ERC-20 standard). The native OCEAN token is used for payment, staking (for curating high-quality datasets), and governance through OceanDAO.
Big merger: Fetch.ai, SingularityNET, and Ocean In 2024, these three projects announced their merger into the Artificial Superintelligence Alliance (ASI). The goal is to join forces to create a strong decentralized alternative to the AI developments of large technology corporations. The process involves combining their tokens (FET, AGIX, OCEAN) into a single ASI token, which should create a stronger economic and management structure.
