Crypto x AI potential from on-chain data

Author: J.Hackworth, Variant Data Researcher; Translation: Jinse Finance xiaozou

As more and more projects are coming to the Crypto x AI space, we are beginning to see how encryption and artificial intelligence technologies work together on the chain.

In this article, we will explore how the potential of Crypto x AI is reflected in the on-chain data.

Most on-chain transactions will be completed by AI agents. This trend is evident in Autoolas' prediction market agents. Since the beginning of the year, agent trading volume has tripled, with weekly trading volume exceeding 38k in the past month, and about 63% of transactions are Gnosis Safe transactions.

Autonolas agents show that even with only about 453 agents running on-chain, their activity can generate more transactions than human activity from Gnosis Safe. Agents enable a more efficient future of task collaboration, and their output may exceed human activity on-chain.

Crypto is incentivizing coordinated AI development

DeAI projects are using crypto power to bootstrap new markets, attract talent and research funding. For example, Morpheus has about 6,000 addresses with a deposit amount of 93,000 stETH to increase liquidity and incentivize the development of artificial intelligence.

Token incentives are used to fund new applications/projects, create superior models through competition, and improve model quality through RLHF. In addition to talent and skills, they also attract high-value assets such as computing resources and data.

The value of AI depends on its training data. Crypto can enhance data collection through token incentives. For example, Hivemapper uses its network of over 63,000 users to collect map data while driving. Since the beginning of 2024, Hivemapper has burned over $174,000 worth of tokens due to data needs.

Other examples include rDAO, which incentivizes personal data. Reddit licensed user data to AI companies for more than $200 million - but users may not have been compensated - while rDAO compensates users who provide data. So far, more than 154,000 users have provided their personal data to rDAO for AI training.

AI reasoning is driving on-chain transactions, especially:

* Ora's AI oracle conducted 1,700 transactions via opML

* Io.Net's BC8 had over 30,000 paid inference transactions on Aptos in the past month

As AI makes smart contracts smarter, reasoning-related transactions will grow.

There is an increasing amount of on-chain activity for AI, foreshadowing a future where:

* Intelligent agents will dominate on-chain transactions

* New ways to incentivize AI development will emerge

* Compensation for new data

* Growth in on-chain reasoning