During the last year, the projects promoted by AI have taken the center of the stage in the cryptographic space. Currently, this sector includes 20 tokens with a collective market capitalization about $ 20 billion, which makes it the smallest cryptographic segment with only 0.67% of the general market.
To put this in perspective, the financial sector has a market value of approximately $ 519 billion.
The gray scale attributes the modest size of the AI ​​sector to the early stages of project development, but it sees a significant growth potential ahead, both in absolute and part of the broader cryptographic ecosystem.
The AI ​​sector is updating quickly
In 2023, total market capitalization of tokens in the cryptographic sector of AI was only $ 4.5 billion. Since then, its value has grown more than four times in a period of two years. With regard to the year, Tao has been the best performance among these assets with a modest gain of 2%, while Eliza has been the weakest, falling by 80%.
According to the last report According to the Manager of Research of Grayscale, Zach Pandl and the investigation analyst Grayscale Will Ogden Moore, Stablecoins could soon play a fundamental role in the cryptographic ecosystem, particularly as tools to feed AI agents, due to their programmable and efficient payment abilities.
Institutional players such as Stripe, Meta and the main banks are entering space amid the improvement of regulatory perspectives. Coinbase has also introduced a standard of payments ready for stablecoin for ia. The next regulatory developments, such as the bill of cryptographic market structure and the genius of the Stablecoin bill could further accelerate adoption.
Key trends in decentralized
As the decentralized technologies evolve rapidly, Grayscale is focusing its attention on other key developments, such as the next half of bittensor and the expansion of its subnet activity. Tao, the native token of the platform and the largest token when the market limit circulates, is modeled after Bitcoin with a hard limit of 21 million and one half every four years, the first expected at the end of this year.
Since the DTAO update was launched in February, which allowed the subnets to be invertible, participation has increased. The report revealed that more than 7% of the circulating Tao supply is now assigned to the subnets.
The gray scale also identified the distributed training as a particularly promising area within the cryptographic sector of AI. Prime Intellect, by one, has shown that it can train massive models and has exceeded 30 billion parameters, using a global inactive GPU network, while moving away from the dependence on centralized infrastructure. If widely adopted, this model could reduce the training expenses of AI and expand accessibility.
Meanwhile, projects such as Prime, Gensyn and Nous Research can introduce tokens later in the year. The grass has also highlighted as an outstanding in the AI ​​cryptography space, according to reports, generating tens of millions in annualized revenues by selling web covered data to ai labs.
This positions it as a rare example of a non -financial income project. The network has constantly increased its data output this year, and a consumer product launch can be on the horizon. In addition, Virtuals is also seeing a strong traction, since it raised $ 30 million annually for commercial rates in AI agents.
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