Jensen Huang Mentions Bittensor on All-In Podcast: TAO Leads AI Crypto Sector, But Short-Term Already Overheated

Jensen Huang publicly endorses AI crypto trading, but not the only factor

In the past 24 hours, funds have clearly flowed into Bittensor (TAO), and this didn’t happen out of nowhere. External authoritative endorsements and self-reinforcing price effects have stacked over time. Nvidia CEO Jensen Huang called Bittensor’s decentralized AI training an “amazing technological achievement” on the All-In podcast, even comparing it to Folding@home. The AI crypto sector has long lacked hardcore validation, and this high-trust signal quickly attracted previously skeptical funds toward TAO.

The macro environment also cooperated: when the podcast launched, the market had just rebounded from lows, with BTC up 1% to $70,700, creating space for altcoin rotation. More importantly, Huang specifically mentioned training a 72-billion-parameter model with distributed nodes, which aligns with progress on subnet projects like Covenant-72B. These “concrete verifiable details” shifted the discussion from pure sentiment to utility and real-world application. Meanwhile, Nasdaq Stockholm’s ETP listing provided an institutional entry point, but on-chain and social media data show that the podcast was the real ignition—Twitter discussion volume exploded immediately after the episode aired.

Some compare TAO to meme coins like DOGE and PEPE, but this analogy isn’t quite right. The recent rally’s core is that AI infrastructure has received external validation at the technical level, not just retail speculation. Similar to meme coin rotations on Solana, this overlooks the progress in subnet and model training attracting funds focused on real utility.

Operationally: I lean toward buying in tranches below $280. Huang’s praise for “open-source AI fighting against closed-source giants” hasn’t been fully priced in yet.

Positive feedback loop is real, but so are the risks

This isn’t random noise but a classic cycle of “narrative → price → traffic → incremental capital.” The price surged 21% intraday, resonating with KOLs (like Altcoin Sherpa) on social media warning of resistance and suggesting dips for buy-in. After a Thursday pullback, the market quickly recovered, interpreting Huang’s appearance as a “paradigm shift in AI crypto”—but technical concerns are emerging.

• Speed of dissemination outpaces fundamentals: core tweets over 8k views, capturing the “crazy technical achievement” mental tag, attracting AI audiences outside crypto.
• ETP is credibility enhancement, not main driver: Nasdaq Stockholm offers a compliant entry, but trading interest peaked before the ETP, triggered by the podcast.
• Subnet optimism is ahead of actual realization: market talks about “subnet big cycle,” but unlocking pressure and a market cap around $100 million make self-reinforcing effects unlikely to sustain.
• Rotation is sectoral: ETH funds are flowing out, while AI concepts like FET rose about 6%. TAO’s rally looks more like sector trading. If total volume drops below $600 million, I will reduce risk exposure.

My view: most people are just now starting to pay attention to this narrative. Don’t mistake Huang’s praise as an official Nvidia partnership. Strategically, add on dips rather than chasing highs.

Positive feedback is real, but so are the risks.

This isn’t random noise but a standard cycle of “narrative → price → flow → incremental funds.” The 21% intraday rise, combined with social media signals from KOLs (like Altcoin Sherpa) warning of resistance and advising dips, shows resonance. After a Thursday correction, the quick recovery was driven by the podcast, interpreted as a “paradigm shift,” but technical issues are surfacing.

• Speed of spread outpaces fundamentals: key tweets over 8k views, capturing the “crazy technical achievement” label, attracting non-crypto AI audiences.
• ETP is credibility, not main driver: Nasdaq Stockholm provides a compliant entry, but interest peaked before the ETP, triggered by the podcast.
• Subnet optimism outpaces actual progress: market discusses “subnet big cycle,” but unlocking pressures and a ~$100M market cap make sustained self-reinforcement unlikely.
• Sector rotation: ETH outflows, FET up ~6%, TAO’s rise more sectoral. If total volume drops below $600M, I will reduce risk.

My opinion: most are just now noticing this narrative. Don’t interpret Huang’s praise as Nvidia’s official cooperation. On strategy: add on dips, avoid chasing highs.

Summary: AI narrative has longevity, more like early-cycle “sticky attention” than pure noise. But if around $300 resistance appears with declining volume, reduce exposure promptly to avoid a reversal of the positive feedback loop.

Conclusion: Those chasing the rally are late; those waiting for a pullback to position are not too late. The most advantage goes to short-term traders and multi-strategy funds anchored by volume and price levels; long-term holders should wait for a correction, with fundamentals (subnet metrics, TVL, training milestones) improving in tandem before adding positions.