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"The Fed Can't Print Moore's Law" - How the AI Crash Sends Bitcoin to $1M | Arthur Hayes

June 22, 2026

AI Summary

5 min read

The Fed Can't Print Moore's Law

Arthur Hayes, co-founder of BitMEX and a veteran crypto trader, has a thesis that runs directly against the prevailing market consensus: the AI boom is a bubble that will eventually implode, and when it does, the resulting flood of money printing will send Bitcoin to $1 million. The core of his argument is deceptively simple—the Federal Reserve can print unlimited dollars, but it cannot accelerate technological progress. A chip gets better every two years regardless of how much capital you throw at it.

The Circular Logic of AI Finance

Hayes sees the current AI buildout as structurally similar to the railroad boom of the 19th century, which triggered two major financial crises. The problem isn't that AI is useless—it's that the economics don't add up. Hayes points to what he calls "circular revenue deals": Google invests in an AI lab, the lab uses that money to buy Nvidia chips, and Google underwrites the credit for the data center that will provide it compute power. The depreciation is pushed into the future, but the chips themselves lose value every two years as new generations arrive.

"The Fed can't print Moore's Law," Hayes says. "I don't care how much money you throw at this thing, you can't change the fact that a chip gets better every two years if you pump $10 trillion into the economy."

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What you'll learn

  • 1 (00:00) **The Core Thesis: AI Bubble Pop, Money Printing, Bitcoin to $1M** - Arthur Hayes lays out his central argument that the AI capex bubble will implode, triggering massive money printing that flows into crypto.
  • 2 (01:09) **Why Arthur Sold His AI Tokens** - Explains his recent shift from bullish to risk-off on specific crypto tokens (HYPE, NEAR, Zcash).
  • 3 (05:33) **The Energy Input Threat** - Identifies rising oil prices as a key macro risk that could break the AI and broader market rally.
  • 4 (07:43) **Crypto Market Dispersion: Mega-Caps vs. New Highs** - Analyzes the unusual market structure where Bitcoin/ETH lag while some altcoins (HYPE) hit all-time highs.
  • 5 (10:53) **Ether Over Bitcoin: The Asymmetric Bet** - States a clear preference for ETH over BTC given current relative valuations.
  • 6 (18:33) **The AI Bubble: Health & Euphoria** - Diagnoses the equity market as a pure AI story, built on circular revenue and unsustainable capex.
  • 7 (24:29) **The Political Risk to AI** - Predicts a populist backlash against AI that will scare investors and pop the bubble.

+ Full timestamped outline available in the app

Guests on this episode

Arthur Hayes

Show Notes

Arthur Hayes is back on Bankless, and he’s taking the W off the table. After selling HYPE, NEAR and ZEC, Arthur walks through why the AI trade started to look less asymmetric, why oil and geopolitics may still be the bear case no one wants to price, and why ETH may offer one of the cleaner setups in crypto today. Then the conversation turns bigger: AI capex, circular revenue, China’s cheap models, GPU depreciation, and the moment Arthur thinks the Fed discovers it can’t print Moore’s Law.

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TIMESTAMPS

0:00 Why Arthur Sold HYPE, NEAR and ZEC
4:26 The AI Trade Starts to Look Crowded
6:25 How Arthur Is Positioned Now
7:15 Crypto’s Strange Market Dispersion
11:09 Oil, Iran and the Fake-Out Risk
14:16 Why the Iran Deal May Not Be Durable
17:29 Can AI Survive Higher Oil?
21:20 The AI Bubble Thesis
26:11 China’s Cheap AI Threat
30:38 The Credit Event Arthur Is Watching
35:51 The 2028 Perfect Storm
39:45 Why AI Is Draining Crypto’s Bull Market
44:28 Arthur on Inventing Perps
48:11 Why Perps Could Eat Wall Street
51:18 Socialized Loss Explained
53:21 Onshore vs Offshore Perps
55:50 Why Hyperliquid Can Flip Binance
56:30 The Perp Inventor Does Not Use Leverage

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RESOURCES

Arthur Hayes
https://x.com/CryptoHayes<

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