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Arthur Hayes Says an AI Crash Could Turn Bullish for Bitcoin (BTC) by 2027–2028

Arthur Hayes argues an AI crash could prove bullish for Bitcoin (BTC), with central bank liquidity arriving after a 2027–2028 deleveraging phase.

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October 7, 2026, 09:39 AM UTC4 min read
AI SummaryAI
  • Hayes called the AI investment wave a multitrillion-dollar capital misallocation that ends in cheap computing power
  • Hayes expects governments and central banks to inject liquidity if AI borrowing triggers a credit crisis
  • Hayes set the decisive test at 2027–2028, when data-center spending must be backed by revenue
  • Hayes said an initial deleveraging phase would pressure risk assets before monetary support arrives
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If the artificial intelligence investment boom ends badly, the wreckage could end up working in Bitcoin's favor, and Arthur Hayes has laid out the mechanism in detail. The BitMEX co-founder and former chief executive made the case in an interview with CNBC at the Gamma Prime Investing Conference in Singapore, and his argument runs through credit markets rather than through crypto itself. The current spending wave aimed at AI data centers amounts, in his framing, to a multitrillion-dollar case of capital misallocation. Each round of financing into data centers, he argued, assumes demand that has yet to be proven, which keeps raising the odds of an oversupply. When the process plays out, markets are left with cheap and accessible computing power at a scale no buyer could have arranged deliberately. Reaching that point, however, could hurt. If the buildout strains the credit system, governments and central banks would move to inject fresh liquidity, and Hayes sees Bitcoin (BTC) and other crypto assets among the biggest beneficiaries of that excess cash. In such a world, the Bitcoin price would be responding to a monetary flood rather than to sentiment around AI stocks, the same dynamic that has historically opened a bull market in risk assets as new money hunts for scarce supply. His macro calls circulate widely across Bitcoin circles, and the derivatives venue he co-founded built its reputation on leveraged crypto trading. Notably, Hayes said he has not positioned against the AI theme, even though he believes considerable excess capacity has already been built into the sector. He framed the mania as ultimately leaving behind usable infrastructure: once computing gets cheap, access broadens and the technology diffuses through the economy, even if the investors who funded it take losses.

The sequencing, in Hayes's telling, matters as much as the destination. He does not expect the AI crash itself to be the immediate catalyst for a Bitcoin (BTC) rally. A first phase of rapid deleveraging, the forced unwind familiar to anyone who has watched a margin trading squeeze, would weigh on risk assets across the board. The distinction matters because a debt-funded bust transmits through banks and credit lines and punishes every asset that borrowed to grow, while an equity bubble deflates inside portfolios. Our own reporting on the $403.58 million liquidation flush in Bitcoin longs showed how quickly leveraged positions can be cleared before a market rebuilds. Only after that purge would the monetary response arrive, and Hayes expects stocks and crypto alike to find it supportive. The window he points to is 2027–2028, when companies that promised massive compute capacity must generate enough revenue to justify what they spent building it. If those cash flows fail to appear, he argued, the current pace of investment would come into question. Hayes repeated the argument in his on-camera CNBC interview at the Singapore conference. He also allowed for the opposite path: AI demand could stay strong enough over the next year for the infrastructure to pay for itself, letting companies grow into costs that look steep today. This is not a fresh position for him. In August he compared the AI infrastructure boom to the credit excesses that piled up before the 2008 financial crisis, and he steered attention toward the debt financing behind data centers and expensive compute hardware rather than toward technology valuations. For now he holds no short position on the AI trade, but he remains confident that a significant amount of overbuilding has taken place. He treats the demand-justification question, not the daily tape, as the real test of the theme.

For COINOTAG, both paths in the call, a credit break and a demand rescue, converge on one observable variable: whether data-center debt gets serviced as it comes due. That question is settled in corporate filings and credit ledgers, not on crypto charts, so we read the 2027–2028 window as a monitoring schedule rather than a forecast. It is also the logic behind a strategic Bitcoin reserve and positions like Metaplanet's rebuilt 44,000 BTC holding, demand that exists before any liquidity flood. Cycle gauges such as the Bitcoin Rainbow Chart and short-term Bitcoin technical analysis speak to faster rhythms than a test this distant. Either way, the debt schedule now on file is the fact that outlasts the debate.

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COINOTAG's editorial and research desk.

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