The crypto market is seeing the emergence of a new growth engine: decentralized artificial intelligence. In just a few weeks, Bittensor has established itself as one of the most closely watched projects, with a valuation close to $1.5 billion driven by a rapid surge in its tokens. This movement is not just speculation. It is based on concrete technological advances and the notable support of influential figures in tech, taking the project into a new dimension.
In brief
- Bittensor is establishing itself as a major new player at the intersection of crypto and artificial intelligence, reaching nearly $1.5 billion in valuation.
- The TAO token recorded strong growth in March, dragging all tokens linked to subnets in its wake.
- Some secondary tokens show spectacular increases, exceeding +400% in just 30 days.
- The support of influential figures like Jensen Huang strengthens the credibility of the project beyond the crypto ecosystem.
An explosion of Bittensor tokens driven by TAO
Bittensor's native token, TAO, saw a marked rise in March, rising approximately 90% from $180 to over $332. This dynamic spread across its entire ecosystem, where the subnets' tokens reached a combined capitalization of approximately $1.47 billion, with a 24-hour trading volume of $118 million.
According to the reported data, “Bittensor’s TAO token grew by around 90% during the month of March”while secondary tokens “recorded an even more marked increase”. Here are some performances:
- Templar (Subnet 3): +444% over 30 days;
- OMEGA Labs: +440%;
- Level 114: +280%;
- BitQuant: +230%;
- Falls: +54%;
- Targon: +166%.
This outperformance can be explained by the very structure of the protocol. Each subnet operates with its own token, the value of which directly depends on the TAO staked in its reserves via automated market makers.
This architecture creates an amplification effect. When the TAO progresses, the value of reserves increases mechanically, leading to an increase in associated tokens and attracting new capital. The phenomenon is described as reflexive, with subnet tokens acting as “leveraged bets on the main protocol”accentuating upward and downward movements.
Decentralized AI and support from Silicon Valley
Beyond market dynamics, Bittensor's news is based on a technological advance which served as a catalyst. Subnet 3 developed Covenant-72B, a language model trained in a decentralized manner, mobilizing more than 70 contributors via standard hardware connected to the internet.
This model was trained on 1.1 trillion tokens and achieved a score of 67.1 in the MMLU test, a level described as competitive compared to models like Llama 2. Thus, it should be noted that this result was confirmed during this March, underlining the scientific credibility of this performance.
This progress found a particular echo after the declarations of influential figures. Nvidia CEO Jensen Huang, along with investor Chamath Palihapitiya, publicly supported the decentralized AI approach during the All-In Podcast. They described this model as complementary to proprietary systems, a position that goes beyond the usual framework of crypto discussions and gives new legitimacy to the project.
Bittensor's future now depends on its ability to maintain this pace of innovation. The planned expansion to 256 subnets, as well as the prospect of a TAO-based spot ETF, could attract additional institutional capital. At the same time, the amplified nature of secondary tokens exposes the ecosystem to equally rapid corrections. Between emerging infrastructure for AI and ground for advanced speculation, Bittensor fits into a still unstable convergence zone, where technology and finance are advancing at a pace rarely observed.
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