Bittensor (TAO) Powers Covenant-72B AI Model Launch and Drives Price Surge

• Bittensor’s TAO token surged over 100% in March 2026 as its Covenant-72B AI model validated decentralized training's viability.
• The 72B-parameter model, trained across 70+ nodes, scored 67.1 on MMLU, comparable to Meta's Llama 2 70B.
• Institutional staking, including Yuma holding 19% of the TAO supply, and endorsements from industry leaders like Jensen Huang contributed to investor confidence.

Bittensor's Covenant-72B model represents a major technical milestone for the decentralized AI network. Trained using commodity hardware and distributed across multiple nodes without centralized coordination, the model demonstrated that decentralized infrastructure can produce high-quality AI outputs. The network's ability to compete with traditional models has helped attract both retail and institutional investors, contributing to a 90% to 100% price surge for TAO in March.

The model's success also provided a response to long-standing criticisms that decentralized AI training is too slow and inconsistent. By achieving a score close to that of Meta's Llama 2 70B, the network has shown that distributed training can produce competitive results. This has led to increased attention from high-profile figures in the tech and investment sectors, including public acknowledgments from Jensen Huang and Chamath Palihapitiya.

What Drives TAO's Price Performance?

TAO's recent price surge was fueled by a combination of technical achievements and economic developments. The launch of Covenant-72B, along with endorsements from industry leaders, created a strong narrative around the project's potential. Additionally, Grayscale submitted an S-1 amendment for its TAO trust, signaling potential institutional adoption and further legitimizing the asset class.

The token's price performance is also tied to subnet token mechanics. For instance, the top subnet token, τemplar (SN3), surged by over 400% in the same period. This is partly due to the automated market maker (AMM) mechanisms that peg subnet tokens to staked TAO value, creating a leveraged feedback loop. As TAO's price increases, the value of subnet collateral rises, which in turn drives subnet token gains.

What Are the Risks and Limitations?

Despite the strong performance, Bittensor faces structural and sustainability challenges. Most subnets, including the top one, rely heavily on inflationary subsidies rather than generating organic revenue. The top subnet receives $52 million in annualized subsidies but only $2.4 million in external revenue. This creates a valuation mismatch, as the network's demand-side revenue is significantly lower than its $3.03 billion market cap.

Additionally, the 2025 halving event is expected to cut emissions by 50%, increasing pressure on subnets to develop sustainable revenue models. While the decentralized AI narrative continues to gain traction, the network's long-term success will depend on its ability to execute on its technical vision and scale its economic model effectively.