According to Invezz, Bittensor’s TAO token extended its uptrend, rising to $310.96 and gaining 2.2% over the past 24 hours as the broader crypto market largely held steady. The move places TAO near the upper end of its daily trading range of $297.72 to $313.89 and keeps the asset on track for strong momentum, with seven-day growth of 18.3% and a two-week gain of 25.4%.
Trading volume reached $247.5 million in the latest session, underscoring robust participation as buyers defended the breakout above the $300 level, which now serves as near-term support for the token.
Key takeaways
- Price action: TAO up about 2.2% in the last 24 hours, trading within a $297.72–$313.89 range.
- Catalyst: Renewed AI-sector momentum, helped by a sharp rally in AMD shares, which boosted sentiment for compute-focused assets and AI infrastructure plays.
- Implication: A high level of staking and growing ecosystem activity support TAO’s bull case, with potential upside if subnet expansion and network utility continue to accelerate.
What drove the move
A primary driver behind TAO’s strength has been renewed investor interest in AI-related assets following a sharp rally in AMD stock, which surged on the back of strong earnings and demand for AI data-centre infrastructure. Data shows the shares jumped 18.6% in a single session as investors priced in upside from AI compute demand, lifting sentiment across compute-focused equities and related crypto plays.
Beyond macro-ai dynamics, TAO’s own fundamentals have improved, reinforcing the case for further upside. About 73% of TAO’s total supply is staked, equating to roughly $2.2 billion in locked value at current prices. Heightened staking participation reduces liquid selling pressure while reinforcing long-term commitment to the network’s ecosystem.
Network revenue and utility metrics are also improving. In the first quarter, Bittensor reported $43 million in AI-related usage revenue across its subnet ecosystem, signaling growing adoption of its decentralized AI infrastructure and signaling tangible use cases for TAO holders.
Sentiment has been further buoyed by near-term ecosystem developments. The subnet expansion remains a central, near-term growth lever for the project. Tokenomist recently launched a dedicated dashboard for Bittensor subnet tokens, increasing transparency for participants and investors.
In addition, the introduction of dTAO subnet tokenisation signals a deeper, more granular approach to subnet economics, creating individual token structures for subnets and expanding the architectural design within the network. Subnets are viewed as specialized marketplaces and compute environments that could drive greater developer activity and broaden AI service offerings within the Bittensor ecosystem.
However, the expansion also introduces new competitive pressures. Rising subnet registration costs have emerged as a potential hurdle, with deregistration risk becoming a consideration for participants weighing long-term subnet viability.
Other catalysts cited by market observers include the planned deployment of Conviction Locks on May 13, intended to strengthen governance and staking commitment, as well as the anticipated beta launch of Affine Subnet, which could further broaden ecosystem capabilities.
Market reaction
Technically, the breakout above the $300 level is being viewed as a meaningful development for TAO. The level has acted as both a psychological and technical hurdle, and sustaining momentum above it supports the view that demand for TAO could remain constructive in the near term.
Analysts point to a potential upside trajectory if subnet expansion translates into stronger ecosystem growth. A common potential target cited is the $330–$350 range, contingent on continued uptake and meaningful improvements in network utility. On the downside, a loss of momentum could pull TAO toward the $290 area as traders take profits following the recent rally and liquidity conditions come under pressure if the breakout loses steam.
Market participants will also be watching broader AI-market cues, given the asset’s positioning as a blockchain-based proxy for the expanding AI compute economy. TAO’s price action has been supported by broader interest in AI-focused tokens and the ongoing narrative around AI infrastructure that could drive longer-term demand for decentralized AI networks.
What analysts are saying
Analysts note that TAO’s recent move reflects a combination of technical breakout strength and accelerating ecosystem activity. The token’s rising staking metrics and improved network revenue point to a strengthening value proposition for long-term holders, even as near-term catalysts—such as subnet expansions and governance upgrades—add a structural layer of upside potential.
While the growth narrative remains compelling, observers caution that the sustainability of gains will depend on continued ecosystem execution, throughput, and demand for AI-enabled services within Bittensor’s subnet architecture. The related costs of subnet registration and the risk of deregistration could temper enthusiasm if economic incentives do not align with participant needs over time.
Bigger picture
TAO’s renewed momentum comes as Bittensor rides a broader wave of interest in AI-enabled compute platforms and decentralized AI infrastructure. The network’s visibility has grown in tandem with major industry events and the ongoing shift toward AI-centric data-centre demand, factors that could support longer-term demand for AI-focused crypto assets.
With TAO gaining attention at industry gatherings such as Consensus 2026 and as the project expands its subnet architecture, investors are weighing the balance of technical breakout strength against the evolving economics of subnet participation and governance.
What to watch next: the scheduled Conviction Locks deployment on May 13 and the Affine Subnet beta launch, both expected to influence governance dynamics and staking commitments. Wider market catalysts include continued AI compute demand, updates on subnet uptake, and broader crypto sentiment as macro conditions evolve.







