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

• Bittensor’s TAO token surged nearly 100% in March 2026, reaching $317 with a market cap exceeding $3 billion, driven by the launch of the Covenant-72B AI model and institutional interest according to reports.
• Institutional staking now accounts for 19% of the total TAO supply, with Yuma and the Grayscale TAO Trust playing significant roles in validating Bittensor’s infrastructure and enhancing network security as data shows.
• Bittensor’s subnet ecosystem, including subnets like Targon and Chutes, generates significant revenue from API calls, transitioning subnets into operational AI businesses and highlighting the platform’s scalability and economic potential according to analysis.

Bittensor’s TAO token experienced a significant surge in March 2026, reaching $317 and surpassing a $3 billion market cap. This growth was driven by the launch of the Covenant-72B AI model, a decentralized model trained across 70 nodes, which achieved a 67.1 MMLU score. This performance reinforces Bittensor’s position as a decentralized AI infrastructure leader.

The rise in TAO’s price is closely tied to increased institutional participation, with the Grayscale Bittensor Trust issuing 121,300 new shares in early April 2026, increasing the total to 2,002,800. This reflects growing institutional confidence in Bittensor’s role within the AI infrastructure space.

Bittensor’s decentralized AI training model allows contributors to earn rewards for supplying computing power and models, aligning with the vision of a decentralized AI economy. Smaller AI subnets outperformed larger ones by 1.01% daily, highlighting momentum effects.

What is driving the recent surge in Bittensor’s TAO token price?

The surge in Bittensor’s TAO token price is primarily attributed to the launch of the Covenant-72B AI model and increased institutional adoption. Covenant-72B, trained on 70 decentralized nodes, achieved a 67.1 MMLU score, reinforcing Bittensor’s position as a decentralized AI infrastructure alternative.

Institutional participation has intensified, with the Grayscale Bittensor Trust issuing 121,300 new shares in early April 2026, increasing the total to 2,002,800. This reflects growing institutional confidence in Bittensor’s role within the AI infrastructure space.

The decentralized nature of Bittensor’s AI training model allows contributors to earn rewards for supplying computing power and models, aligning with the vision of a decentralized AI economy.

How are Bittensor’s subnets performing economically?

Bittensor’s subnet ecosystem has demonstrated strong economic performance, with subnets like Targon and Chutes generating significant revenue from API calls. Subnets like Targon and Chutes have transitioned into operational AI businesses, showcasing the platform’s scalability.

The dTAO mechanism dynamically distributes emissions based on demand and performance, creating a competitive environment where underperforming subnets may see their emissions drop to zero. This incentivizes subnets to attract users and generate revenue.

The platform has generated $100 million in annualized revenue across 129 subnets, with the best-performing subnets absorbing more emissions and concentrating value within the ecosystem according to reports.

What are the key risks and challenges for Bittensor’s growth?

Despite the positive developments, Bittensor faces risks such as limited external revenue for subnets, competition in the AI token market, and macroeconomic uncertainties as analysis indicates.

The TAO token has experienced a 12% pullback in early April 2026, but on-chain data shows continued accumulation and strong market faith in Bittensor's technology according to data.

The decentralized nature of Bittensor’s AI infrastructure presents both opportunities and challenges, with the platform needing to maintain network security and continue attracting validators and contributors to sustain its decentralized AI model as reported.