Jason Calacanis spent the past few days pushing a very specific pitch to his audience on X: buy exactly one TAO, treat it as a $200 lottery ticket, and use the position to “bet to learn” while supporting what he calls the third way of protecting sovereign intelligence.
The message was explicit and repeated: not financial advice, worst-case you lose the full $200, best case a 2-3x return.
His personal holding in TAO sits at around $750,000, and he described Bittensor as the most inspiring open-source crypto project since Bitcoin and Solana.
The One-TAO Pitch
Structured around two reasons and one rule: if you’re just starting, do not buy more than one.
1. Bet to learn: A single unit forces attention and teaches you about the ecosystem faster.
2. Vote for sovereign AI: Buying TAO is seen as supporting an uncensored, distributed alternative to centralized model providers.
The idea is to cap the downside at roughly $200, with the possibility of losing the full amount but the potential for a 2–3x (or more) in returns.
Why the Endorsement Matters
Jason’s audience is Silicon Valley operators and mainstream startup listeners, not crypto natives.
1. Runs This Week in Startups, All-In, and This Week in AI: Jason’s huge following and industry reputation amplifies his messaging in front of tens of thousands who otherwise skip Bittensor coverage.
2. Personal position is $750,000: Real skin in the game, not a promotional partnership.
3. Positions TAO alongside BTC and SOL: TAO sits among the few assets Jason consistently speaks about with high conviction. He has even recommended selling half of a Bitcoin holding to buy more TAO.
➛ Read More About Jason’s Thoughts on Bittensor ($TAO) Here
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[…] Jason Calacanis is another good example of how that maxim is spreading. He has publicly said he seeded a Bittensor-focused fund with a few hundred thousand dollars, and he has become increasingly vocal about the network. More importantly, he has also talked about using Bittensor services and seeing dramatically lower inference costs. If decentralized markets can genuinely make AI services cheaper or better like this, then the value proposition will become much easier for traditional technology investors to understand. […]