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Decentralised AI

In IcelandicDreifstýrð gervigreind

AI that is developed, run or sold on open networks rather than controlled by a few companies. Bittensor and NEAR are examples.

Decentralised AI is an umbrella term for projects that develop, run or sell artificial intelligence on open networks, instead of leaving it in the hands of a few large companies. The idea rests on the same arguments as DecentralisationDecentralisationWhen power and responsibility are spread across many participants, instead of one bank, company or government controlling a system. in crypto: no single party is in charge, the rules are visible to everyone and anyone can take part.

What does it cover?

  • Models and training. Networks where many participants compete to deliver the best AI work and are rewarded in crypto. In BittensorBittensor (TAO)An open network where participants compete to deliver AI work and are rewarded in TAO. The maximum supply is 21 million TAO. this happens in so-called subnetsSubnetAn independent part of a larger network with its own rules and task. In Bittensor, each subnet is a market for one kind of AI work., each of which specialises in one task.
  • Computing power. Networks that connect computers and graphics cards around the world, so anyone can rent out computing power or buy it to run AI models.
  • User-owned AI. NEARNEAR Protocol (NEAR)A fast blockchain that splits itself into shards to process many transactions at once, with a strong focus on AI. NEAR is the network's coin. presents itself as a blockchain for AI, where AI agents can hold assets and transact on behalf of their users.

Why does it matter?

A handful of companies now control the most powerful AI models and the computing power needed to train them. Supporters of decentralised AI believe open networks can spread that power, reward the people who contribute data and computing power, and make development more transparent.

Good to know

Decentralised AI is a young field, and projects are at very different stages. Critics point out that the big AI companies still have a large lead in quality and performance. Supporters reply that the open networks are growing fast and compete on different terms: open access and rewards for taking part. Prices of AI-related cryptocurrencies have swung a lot.

Everything in Myntkaup Learn is written and regularly reviewed by the Myntkaup editorial team. It is for education and is not investment advice. Editorial policy. Updated 4 November 2026.