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

Bittensor’s TAO token surged to $317 in March 2026, driven by the launch of the 72B-parameter Covenant-72B model and growing institutional adoption. - The model scored 67.1 on MMLU, a benchmark comparable to Meta’s Llama 2 70B, demonstrating Bittensor’s position as a leader in decentralized AI infrastructure. - Institutional confidence increased with Grayscale filing for a TAO Trust, while smaller AI subnets outperformed larger ones by 1.01% daily due to AMM pricing dynamics.

Bittensor’s TAO token reached a peak of $317 in March 2026, pushing its market cap beyond $3 billion. This surge was primarily fueled by the launch of the Covenant-72B model, which is trained across 70+ nodes and showcases performance comparable to major centralized AI models. The decentralized nature of the training process is a key differentiator and has drawn attention from both retail and institutional investors.

The model’s achievement of a 67.1 score on MMLU highlights Bittensor’s capabilities in AI innovation without the need for proprietary data centers or specialized hardware. This has reinforced perceptions of Bittensor as a viable alternative to traditional AI infrastructure providers.

Institutional adoption has been a major tailwind for TAO. Yuma staked 19% of the TAO supply, and Grayscale announced the filing for a TAO Trust. This development provides institutional investors with regulated access to the token and indicates growing confidence in the platform’s long-term prospects.

What Drives Bittensor’s Institutional Appeal?

The decentralized architecture of Bittensor is a core factor attracting institutional interest. Unlike traditional AI firms, Bittensor’s network leverages a distributed computing model, enabling a broader range of participants to contribute to AI training and development.

The launch of the Covenant-72B model marked a milestone for the platform, transitioning it from an experimental phase to a fully operational AI infrastructure. This shift has attracted attention from major investors seeking exposure to AI-driven platforms with scalable and decentralized models.

Grayscale’s TAO Trust announcement was another key driver. By offering a regulated vehicle for institutional access to TAO, the trust has helped reduce barriers to entry for large investors. The trust’s initial distribution of 121,300 new shares increased the total to 2,002,800, signaling institutional commitment to the token.

What Are the Short-Term Market Implications for TAO?

Despite a pullback in April 2026, derivatives data suggests TAO remains in a stabilizing phase. Open Interest (OI) in TAO derivatives stabilized at $416 million, with the OI-weighted funding rate remaining positive at 0.0074%. This indicates ongoing accumulation and risk-on sentiment among traders.

Technical indicators also suggest the token is not in an outright reversal. TAO is currently trading above key EMAs, and the MACD and RSI suggest fading upside momentum but not a reversal. A daily close above $378 would confirm a continuation of the bullish trend, while a drop below $274 could undermine the upward bias.

Despite signs of stabilization, risks remain. External revenue for subnets is limited, and competition in the AI token market could affect TAO’s long-term performance. Geopolitical uncertainties also pose a risk, as AI infrastructure is increasingly becoming a strategic asset for governments and institutions.

Bittensor’s ecosystem is also expanding through subnets like Targon and Chutes, which generate revenue from API calls and TAO emissions. These subnets demonstrate the platform’s potential for real-world applications, including quality control in manufacturing through the Defektr subnet. This diversification into industrial use cases could further solidify Bittensor’s market position.