Bittensor (Tao) recent performance15 Mar 2026 06:54
I asked AI to summarise why Bittensor (TAO) is currently outperforming the broader crypto market (Astrid Intelligence gets a very good mention)......
Bittensor (TAO) is currently outperforming the broader crypto market, trading near $268 as of March 15, 2026, marking a 51% increase over the last seven days. This surge is driven by a combination of major technical milestones, institutional developments, and a strong sector-wide rally in AI tokens.
Key Drivers of TAO's Outperformance
Major Technical Milestone (Covenant-72B): On March 10, 2026, the community announced the successful completion of the largest decentralised Large Language Model (LLM) pre-training run in history. The Covenant-72B model was trained on 1.1 trillion tokens via Subnet 3, proving the network's ability to handle massive, industrial-scale AI projects without central control.
Institutional Adoption & ETF Filings: Momentum has been bolstered by news that major asset managers Grayscale and Bitwise have filed for spot TAO ETFs. Additionally, Grayscale's existing Bittensor Trust and new infrastructure investment rounds have signaled deep institutional interest.
AI Sector Momentum: TAO is leading a broader "sector rotation" into AI tokens, fueled by bullish sentiment from the traditional tech world, including recent optimistic comments from Nvidia CEO Jensen Huang. Other AI tokens like Render (RENDER) and FET are also seeing gains, but TAO's role as a decentralized AI infrastructure leader has made it a primary target for capital.
Supply Scarcity (Post-Halving): The impact of Bittensor's first halving (December 14, 2025), which cut daily emissions from 7,200 to 3,600 TAO, is now increasingly visible in market dynamics. With over 70% of the supply staked, the liquid supply is very thin, allowing relatively modest increases in demand to trigger outsized price moves.
Ecosystem Upgrades: The recent Dynamic TAO (dTAO) upgrade and the launch of Astrid Arena have improved network utility. These updates allow for more direct investment into high-performing subnets and lower the technical barriers for new AI developers to join the ecosystem.