Arthur Hayes NEAR Protocol Discussion Frames Bitcoin, AI and Privacy Trade
Arthur Hayes’ NEAR Protocol discussion makes a blunt case: war spending and the AI buildout could send more liquidity into Bitcoin and a small group of crypto assets. Hayes and NEAR Protocol co-founder Ilya Polosukhin tied Bitcoin (BTC), Zcash (ZEC), and NEAR Protocol (NEAR) to a pretty direct setup. Governments print. AI eats chips, power, and data centers. Then people remember, usually late, that private digital money has a use case.
Hayes and Polosukhin kept coming back to government liquidity, market concentration, and private money. According to the podcast summary, Hayes said the U.S., China, and the EU will keep printing money to fund wars and compete in AI. Polosukhin came at the crypto side from a different angle. He said crypto is leaving its “Cambrian explosion” phase, when almost any new chain could get attention, and moving into a market where revenue, users, and token utility matter more than launching another chain with a fresh logo. My take: that is less exciting, but probably healthier.
Hayes treats AI as a national security issue, not just another tech stock theme, and that is where Bitcoin fits into his trade. The argument is not subtle. If governments spend heavily on chips, data centers, defense, and industrial policy, the money has to come from somewhere. The comparison is March 2020. BTC fell hard on March 12, 2020, then rallied as the money printing cycle lifted risk assets through 2021. Hayes is saying the next liquidity wave could come from AI and defense spending. Most guides would stop there. That is only half right. The trade only works if policy stays loose enough for markets to actually feel the liquidity.
Bitcoin still is not a clean gold style safe haven, even when geopolitical stress helps the story. Wars, sanctions, and political instability can make BTC sound attractive, but when funding conditions tighten, it often trades like a high beta liquidity asset. Gold has the cleaner crisis hedge record. BTC has moved between risk asset and monetary hedge depending on dollar liquidity. That matters for anyone looking at BTC, ZEC, and NEAR together. Hayes’ thesis needs liquidity. Privacy demand alone probably cannot carry the whole trade. It works, until it does not.
Zcash gets the clearest privacy angle, with Hayes calling it one of his largest positions and describing it as “digital cash.” Hayes said AI, Big Tech, and mass data collection will increase demand for private money. That is the ZEC argument in one line. The source does not give ZEC price targets, percentage moves, or position sizes, so there is no clean trade setup here. I’ll be honest: that makes the headline stronger than the actual trading framework. Still, if privacy becomes the market’s next favorite theme, ZEC will get attention because Hayes put his name on it.
NEAR has a different role. Polosukhin points to “abstraction” through NEAR Intents, a system meant to make cross chain transfers and swaps less annoying for users. He is not simply pitching another blockchain. His argument is that users should be able to move and exchange assets across chains without caring which network handles what behind the scenes. Confidential Intents adds a private layer for hidden payments, trades, and transfers. According to the source, NEAR already earns tens of millions of dollars in fees through Intents and plans to make the token deflationary. Why does this matter? Because Hayes keeps circling back to revenue and tokenomics, not just vibes.
This is also an AI agent infrastructure bet. Polosukhin thinks AI becomes the main interface for computing while blockchains handle execution. For crypto investors, the question shifts from “which L1 has the most hype?” to “which protocol gets paid when agents transact?” NEAR wants Intents to be that answer. Big claim. Hard proof still needed. The architecture sounds useful, but token value does not automatically follow from a clean diagram.
The discussion points to a tougher market, where investors care more about revenue, working products, and users than new chain launches. Polosukhin said a standalone blockchain is no longer enough. Investors want revenue, products people use, real activity, and token design that does not punish holders. Hayes made a similar point from the trading side. He said the winners this cycle will likely be AI and crypto projects with revenue and better tokenomics. Counter to the usual advice, this does not mean every “real yield” token deserves a bid. It just means narrative-only trades have a shorter leash. That raises the bar for BTC-adjacent trades, ZEC privacy exposure, and NEAR’s execution story.
The labor angle sits underneath all of this. Hayes argued that AI will hit white collar workers hardest and said the U.S. can soften the blow with financial intervention, while developing countries may have a rougher time. Polosukhin sounded more practical: use AI to start businesses, then use it to get more done. For markets, the question is not only whether jobs disappear. It is whether AI creates a new class of agents that need wallets, settlement, privacy, and cross chain execution. Is this too early? Yes. Is it nonsense? No.
Investors still need to separate a good story from a confirmed trade. NEAR Intents reportedly generates tens of millions of dollars in fees, which matters, but the market will want proof that those fees benefit NEAR holders once the token becomes deflationary. ZEC has the cleaner headline, but privacy trades often run into thinner liquidity, exchange limits, and regulatory pressure. We have seen this pattern before in privacy coin rallies: the story can be right and the trade can still be miserable to hold. The best podcast story is not always the easiest trade.
What this means
The next crypto cycle may not look like a simple BTC dominance run or another broad L1 frenzy. Hayes is focused on money printing, AI infrastructure, and private money. Polosukhin is focused on chain abstraction, real users, and fees. The assets named in the source are BTC for liquidity, ZEC for privacy demand, and NEAR for Intents based execution. Yes, this slightly contradicts the clean “BTC leads, alts follow” framing. Bear with me. Investors should watch whether BTC keeps trading like a liquidity proxy around future FOMC statements, and whether ZEC holds interest after the Hayes headline fades.
The watch list is simple: BTC liquidity, ZEC privacy momentum, and NEAR fee conversion into token value. For BTC, traders should track the next FOMC date, CME positioning, and the major technical levels on their own charts instead of assuming the AI money printing argument automatically means upside. For NEAR, the test is whether the reported “tens of millions of dollars” in Intents fees turns into visible token demand and real deflationary pressure. For ZEC, the question is cleaner: does privacy become a sustained cycle theme, or was this mostly a short lived headline trade after May 26, 2026?