Arthur Hayes, co-founder of BitMEX and Chief Investment Officer of Maelstrom, argues that the multi-trillion-dollar boom in artificial intelligence infrastructure resembles a credit bubble in the real estate market more than a traditional tech sector expansion. In an essay titled "Situationship," published on August 4, Hayes compared the financing of data centers to the 2008 financial crisis rather than the 2000 dot-com crash triggered by a profit decline. He posits that an AI credit collapse could provoke government intervention and a liquidity influx, pushing Bitcoin to $1 million.
Hayes wrote:
"Once the authorities panic enough over the AI-driven GDP growth being just another ordinary real estate bubble, they will print money on a scale exceeding the 2008 Global Financial Crisis. Ultimately, this will push Bitcoin to one million and beyond."
At the core of Hayes' thesis are hyperscalers—large cloud companies building data centers used to train and run AI models. Hayes argues that these companies are effectively financing real estate filled with rapidly depreciating equipment. As new chips provide greater computing power with less electricity consumption, lenders could ultimately find themselves financing facilities filled with obsolete equipment.
Why the Fed and Treasury Support Credit Flow
Market participants surveyed by the Federal Reserve expressed similar concerns, with AI-related risks ranking among the top short-term threats cited by respondents. The Federal Reserve Board's "Financial Stability Report" for May 2026 analyzed data from 20 market participants surveyed by Federal Reserve Bank of New York staff in March and April. They pointed to stock valuations, leverage-financed capital expenditures, potential labor market damage, and private credit as key vulnerability factors. Half of the respondents cited AI as a potential shock, up from 30% in the fall 2025 survey.
According to Hayes, banks continue to lend despite this risk because short-term interest rates remain below nominal economic growth, while long-term bond yields are rising. A steeper yield curve increases the spread between banks' funding costs and loan rates, making lending more profitable. Hayes has repeatedly linked entry points into the cryptocurrency market to Federal Reserve policy, including loans for data centers, rare earth mining companies, and weapons manufacturers.
Hayes also outlines a hypothetical mechanism for government support using emergency lending authority. He estimates that the Exchange Stabilization Fund holds $28 billion, and considering the 10x leverage previously used for special purpose vehicles supported by the Fed, Treasury Secretary Scott Bessent could direct roughly $280 billion into loss-making AI projects. Hayes characterizes such intervention as money creation focused on equity, rather than traditional quantitative easing.
When Hayes Predicts Bitcoin Will Bottom
According to Hayes' analysis, Bitcoin peaked in October 2025 and then lost half its value as AI-related loans and stocks absorbed the marginal dollar. He argues that capital inflows into AI infrastructure reduced the liquidity needed to support further Bitcoin growth. Hayes warned that the price could remain range-bound until liquidity recovers.
He further wrote:
"Bitcoin will fluctuate between $60,000 and $70,000 for some time, with a potential drop to $50,000."
MicroStrategy Inc. (Nasdaq: MSTR) clouds the short-term outlook: Hayes states that investors also need to factor in concerns about potential Bitcoin sales by this corporate treasury company. In his broader concept, liquidity—not just adoption—is central to Bitcoin's next major move. The same logic underpinned his earlier year-end prediction of $125,000 when military spending flooded markets with cash.
Hayes argues that capital misallocation on this scale already surpasses the level of the subprime mortgage crisis, while the AI lending boom has reached magnitudes comparable to railroad infrastructure investments as a share of GDP. He expects excessive lending to ultimately lead to losses that will force policymakers to inject significantly more liquidity into the financial system. Earlier iterations of his thesis reached the same conclusion through other channels, including capital flight from US Treasury bonds.
Hayes added:
"This time, Bitcoin already exists and can now fulfill the dreams of many by reaching $1 million or higher."
When Hayes Predicts the Bubble Will Burst
The timeline outlined in the essay pushes any reckoning several years into the future: Hayes describes the current sell-off in AI company stocks as a correction within a bull market that has not yet peaked. He expects the announced pace of data center capital expenditures to begin slowing from mid-2027, with this slowdown becoming clearly evident during 2028.
In his view, lending will continue to grow throughout the slowdown period, mirroring the 2006–2007 situation when mortgage lending increased even after US home price growth had already slowed. Hayes anticipates the market will reward hyperscale companies that cut capital budgets once cheaper Chinese frontier models undercut prices, and funding shifts from free cash flow to borrowing and equity issuance.
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