The 4x artificial intelligence encryption sector grows in two years, and is close to $ 20 billion in the market on the market

Over the past year, the projects driven by artificial intelligence occupied the lead in the encryption space. Currently, this sector includes 20 symbols with the maximum group market approaching $ 20 billion, making it only 0.67 % of the market.

To put this in its correct perspective, the financial data sector has a market value of about $ 519 billion.

Grayscale attributes the size of the modest artificial intelligence sector to the early stages of the development of the project, but it sees great growth capabilities in the future, both in terms of absolute and as a share of the broader encryption ecosystem.

The artificial intelligence sector is caused quickly

In 2023, the total market value of symbols in the artificial intelligence encryption sector amounted to only $ 4.5 billion. Since then, its value has grown more than four times within two years. Year to date, Tao was the best performance between these assets with 2 % modest profit, while Elizaos was the weakest, and a decrease of 80 %.

According to the latest a report Posted by Grayscale, Managing Director of Research, Will Will Ogden Moore, Stablecoins, GRAYSCAE research analyst, can play a pivotal role in the ecosystem for encryption, especially as tools for operating artificial intelligence agents, due to impregnated and efficient payment capabilities.

Founding players such as Stripe and Meta and major banks enter the space amid improving organizational expectations. Coinbase has also provided a standard for Stablecoin’s ready -made payments for AI. The upcoming regulatory developments, such as the Bill Cryx Market Bill and Bill Genius Stablecoin, can increase the acceleration of adoption.

The main trends in the decentralization AI

With the development of decentralized artificial intelligence techniques rapidly, Grayscale turns its attention to other major developments, such as the next half of BitTensor and expanding the activity of the sub -network. TAO, the original symbol of the platform and the largest artificial intelligence code is designed by generalizing the maximum market, similar to Bitcoin with the maximum solid 21 million and a half years every four years, the first expected later this year.

Since DTAO was launched in February, which allowed sub -networks to invest, participation has increased. The report revealed that more than 7 % of the TAO supplies are now allocated to the sub -networks.

Grayscale also identified the distributed training as a particularly promising area in the Crypto AI sector. Prime Intellect showed, for example, that he can train huge models and exceeded 30 billion teachers, using a global network of inert graphics processing units, while staying away from relying on central infrastructure. If it is widely adopted, this model can reduce artificial intelligence training expenses and expand access.

Meanwhile, projects like Prime, Gensyn and Nous Research may be presented later in the year. Grass has also emerged as a follow -up in the Crypto AI space, and according to the received tens of millions of annual revenues from selling data copied on the Internet to artificial intelligence laboratories.

This puts it as a rare example of a non -financial project and revenue production. The network has increased steadily out of data this year, and the release of the consumer product may be on the horizon. In addition, the assumptions are also witnessing a strong traction, as it caused $ 30 million annually to trading fees on symbols of artificial intelligence agent.