According to Invezz, Bittensor’s TAO token surged more than 17% intraday, briefly trading above $300, as enthusiasm about its decentralized AI ecosystem resurfaced. The rally came amid a wave of commentary from high-profile tech leaders on distributed AI training and the potential for decentralized models to coexist with proprietary systems.
Investors are increasingly eyeing Bittensor’s model, which rewards participants with TAO for contributing compute to its network. The latest move reinforces a broader appetite for AI-related crypto assets and underscores the market’s focus on how decentralized approaches could complement traditional AI development.
Key takeaways
- Price move: TAO jumped over 17% intraday to above $300, with some selling pressure limiting gains from the session high.
- Catalyst: Endorsements from Nvidia chief executive Jensen Huang and venture investor Chamath Palihapitiya about the feasibility of distributed AI training on Bittensor’s network, discussed on the All-In Podcast.
- Implication: The endorsements could bolster interest in the AI-crypto space and lift demand for TAO, though near-term momentum shows signs of overbought conditions as indicated by technicals.
What drove the move
The core driver of Friday’s rally was a burst of favorable commentary around Bittensor’s decentralized AI initiative. Palihapitiya called the training of a 4 billion-parameter LLaMA model via a distributed network “a pretty crazy technical accomplishment,” highlighting the practical potential of distributed AI compute. Nvidia’s Huang added that decentralized and proprietary AI models can coexist in the market, stressing that “these two things are not A or B; it’s A and B.”
In the context of Bittensor, the buzz centers on Covenant 72B, a large-language-model project that is fully trained on the platform’s decentralized Subnet 3. Subnet 3 currently has more than 70 contributors connected via standard internet connectivity, all participating in Bittensor’s compute-sharing economy. The positive sentiment around these developments has reinforced investor confidence in the project’s roadmap and its potential to demonstrate real-world utility for a decentralized AI framework.
The remarks dovetail with a broader narrative around the AI-crypto frontier, where advocates argue that tokenized incentive structures can accelerate experimentation and deployment of novel AI architectures. In this environment, TAO acts as the reward mechanism for participants who provide compute resources to the network, creating a feedback loop between network activity and token demand.
Market reaction
Trading activity reflected a broader AI-crypto bid, with TAO hitting intraday highs above $300 before trading lightly below the peak later in the session. Over the past week, TAO has risen more than 28%, and it has gained roughly 56% over the past month, according to data cited by Invezz. The move also coincides with a modest rally in the AI and Big Data category, where the aggregate market capitalization rose about 4% in the last 24 hours to roughly $17.2 billion, per CoinMarketCap data.
Beyond TAO, other crypto assets tied to AI and decentralized computation, including Render, Kite, and Internet Computer, have posted gains, illustrating a sector-wide wave of elevated investor interest. The fresh buoyancy underscores how sentiment around AI innovation and tokenized incentives can drive small- and mid-cap crypto names higher in tandem with broader market moves.
From a technical standpoint, TAO has formed a V-shaped recovery since testing recent lows, with momentum measured by indicators offering a mixed read. The price has been hovering above key moving averages, including the 100-day and 200-day envelopes, which supports a constructive near-term bias. However, near-term momentum indicators also point to caution: the daily relative strength index sits in the high 70s, signaling overbought conditions, while the MACD line remains above the signal line but with green histograms narrowing, suggesting possible fatigue in the current up-leg.
Support could come into play around the 100-day and 200-day moving averages at roughly $233 and $265, respectively, if selling pressure resumes. On the upside, a break above the immediate resistance near $310 could open room for higher targets, potentially toward the mid- to upper-$300s or beyond. Traders and investors should note that TAO’s all-time high was substantially higher in 2024, underscoring the potential for shocks in both directions as the market digests new information about decentralized AI deployments.
What analysts are saying
Analysts cited by Invezz emphasize that the convergence of high-profile endorsements with a tangible model—Covenant 72B—helps validate the viability of decentralized AI compute markets. While such narratives can attract speculative interest, observers caution that the move may reflect a temporary sentiment surge rather than an immediate shift in fundamentals. The key question for investors is whether the Covenant 72B framework can deliver meaningful performance improvements or use-case demonstrations that translate into sustained activity on Subnet 3.
In this context, TAO’s price action could be read as a risk-on bet on the AI-crypto thesis. The reaction also highlights how influential figures and media discussions can amplify interest in niche, developer-focused crypto ecosystems. The broader market’s appetite for AI-oriented tokens means further potential upside is plausible if the Covenant initiative continues to attract developers and users, while any signs of cooling enthusiasm could quickly reprice risk as momentum wanes.
Bigger picture
Framing Friday’s move within the wider market, the episode illustrates how AI innovation and blockchain-enabled incentive models are intersecting in meaningful ways. Bittensor’s approach—rewarding participants with TAO for contributing compute to decentralized Subnets—offers a real-world mechanism for monetizing distributed AI workloads. If Covenant 72B proves scalable and effective, it could encourage more developers to participate in Subnet-based compute sharing, potentially lifting network activity and TAO demand.
Macro-wise, the surge underscores changing dynamics in the AI space, where investors are weighing the potential of decentralized architectures against the established incumbents. The commentary from Huang and Palihapitiya is part of a broader narrative that sees AI development as not solely the domain of a few large firms but as a distributed, community-driven effort that could coexist with traditional cloud and accelerator models. As markets reassess risk and growth trajectories in tech and crypto, TAO’s performance will likely hinge on continued developer engagement, pragmatic use cases, and the resilience of the decentralized compute economy amid evolving regulatory and macro conditions.
Looking ahead, the path for TAO will depend on whether it can clear the $310 level and sustain momentum, with potential upside to the $365–$450 zone if buyers maintain control. At the same time, investors should monitor the Covenant 72B program and Subnet 3 activity for signs of real-world adoption, as broader AI sentiment and regulatory developments continue to shape the AI-crypto landscape.
What to watch next: investors will focus on whether TAO can sustain a breakout beyond resistance around $310, the trajectory of Covenant 72B development, and the broader market’s appetite for AI-linked crypto assets as macro cues and policy discussions evolve.
