Bittensor (TAO) Surges on Covenant-72B Launch and Institutional Adoption

• Bittensor’s TAO token nearly doubled in March 2026, reaching a price of $317, driven by the release of Covenant-72B, a 72B-parameter language model trained across 70+ nodes.
• The Covenant-72B model scored 67.1 on the MMLU benchmark, comparable to Meta’s Llama 2 70B, demonstrating that decentralized AI training can produce results on par with centralized systems.
• Grayscale has amended its S-1 filing for a spot Bittensor Trust, potentially increasing institutional interest in TAO.

Bittensor’s TAO token has experienced a significant price surge in March 2026, nearly doubling to $317, a development that pushed the network’s market cap past $3 billion. The rally was closely linked to the launch of Covenant-72B, a 72-billion-parameter language model developed through a decentralized network of over 70 nodes. This model’s performance on the MMLU benchmark marked a critical validation of Bittensor’s decentralized AI training capabilities, with its score matching that of Meta’s Llama 2 70B.

The success of Covenant-72B has attracted attention from both retail and institutional investors, with figures like Jensen Huang and Chamath Palihapitiya endorsing the project’s potential. Institutional staking now accounts for 19% of the total TAO supply, indicating growing confidence in the token’s ecosystem.

Institutional adoption has also been bolstered by regulatory progress. Grayscale filed an amendment to its S-1 for a Bittensor Trust on April 3, 2026, signaling a potential expansion of institutional access to TAO. This move mirrors the firm’s successful Bitcoin and Ethereum trusts and could significantly impact the token’s demand and price dynamics.

Why Does Decentralized AI Training Matter for TAO?

Bittensor’s decentralized training approach, as demonstrated by Covenant-72B, challenges the prevailing assumption that AI development requires centralized infrastructure. The model’s performance, achieved using commodity hardware and distributed across multiple nodes, suggests that decentralized systems can produce high-quality AI outputs efficiently.

This development is particularly significant given the skepticism surrounding decentralized AI’s scalability and consistency. The success of Covenant-72B has not only validated Bittensor’s technical capabilities but also attracted endorsements from influential industry figures, enhancing the token’s credibility.

What Risks Exist for TAO’s Long-Term Growth?

Despite the positive momentum, Bittensor’s ecosystem faces sustainability challenges. Subnet token mechanics and a 2025 halving event, which could cut emissions by 50%, pose potential risks to the network’s long-term viability. Additionally, the project must address the need for sustainable revenue streams to support ongoing development and innovation.

The Grayscale filing for a TAO trust may mitigate some of these risks by providing a compliant investment vehicle for institutional investors. However, the trust’s success will depend on regulatory approval and market demand for Bittensor’s ecosystem. As the network continues to expand with new subnets and AI tools, the ability to attract and retain institutional interest will be crucial for TAO’s long-term growth.