In Bitcoin news today, BitMEX co-founder and Maelstrom Chief Investment Officer Arthur Hayes has offered his clearest Bitcoin price forecast yet: $1 million per coin, driven not by a crypto-specific catalyst but by the collapse of what he describes as the largest credit bubble in modern history. In Hayes’ view, the mechanism is the AI infrastructure buildout and the debt financing tied to it.

Hayes argues that Bitcoin’s route to $1 million runs through a financial crisis, not around one, and says that crisis has not yet arrived. In a podcast appearance and a subsequent letter to readers, the BitMEX co-founder said a 2008-style crash could ultimately benefit Bitcoin, even if the path there first includes a broad selloff in risk assets.

The comments came as Bitcoin traded at $64,100, up just under 1% over the previous 24 hours but down 0.5% over the past week. Daily trading volume for BTC stood at $22.7 billion.

Arthur Hayes: AI Bubble May Resemble 2008 Credit Crisis, Bitcoin Could Benefit From Monetary Easing BitMEX co-founder Arthur Hayes published a new essay, Situationship, arguing that the AI investment boom resembles a real estate buildout rather than a traditional technology… pic.twitter.com/0nmw1cnwk2 — Wu Blockchain (@WuBlockchain) August 5, 2026

Arthur Hayes: AI Bubble May Resemble 2008 Credit Crisis, Bitcoin Could Benefit From Monetary Easing

BitMEX co-founder Arthur Hayes published a new essay, Situationship, arguing that the AI investment boom resembles a real estate buildout rather than a traditional technology… pic.twitter.com/0nmw1cnwk2

— Wu Blockchain (@WuBlockchain) August 5, 2026

Why Hayes Calls AI a Credit Story Rather Than an Earnings Story

In his podcast remarks and letter, Hayes compared the AI boom to a “credit story like 2008” rather than an “earnings story like 2000.” He said the AI infrastructure buildout looks less like the dot-com era and more like leveraged real estate, where the model depends heavily on demand and access to credit.

Speaking on the Thinking Crypto podcast, Hayes pointed to what he sees as a structural mismatch in AI hardware financing. He said GPU loans used to finance AI hardware are amortized over five to six years, while GPUs become obsolete in about two years.

He added that if cheaper Chinese AI models commoditize inference, the financial assumptions supporting those loans could unravel.

“As a credit event, this will be bigger than subprime,” Hayes said on the Thinking Crypto podcast. “If it’s all about if we go to the China price, then all these assumptions in terms of the cash flows that these GPUs are based on become kind of spurious, and it becomes a credit event.”

Leverage and Lease Commitments in the AI Buildout

Hayes also raised concerns about the scale of data-center lease commitments made by major technology companies. He cited roughly $1.09 trillion in commitments, compared with existing lease liabilities of $285 billion.

While those leases are not the same as traditional debt, Hayes said they represent off-balance-sheet risk.

S&P Global analyst Andrew Chang has pointed to a maturity mismatch at Oracle, noting that lease durations run 15 to 19 years while customer contracts last only five years. Hayes said that mismatch could heighten credit risk if renewals fail.

He also said about $1.5 trillion in AI-related debt was issued between 2022 and mid-2026, with most of it coming in 2025. In his view, that flood of capital into AI has helped absorb liquidity that might otherwise have supported Bitcoin’s rally.

“I think that essentially AI sucked all the capital out of the room,” Hayes said on the Thinking Crypto podcast. “It continues to suck all of the capital.”

Hayes Sees a Wide Near-Term Bitcoin Range

Hayes is more cautious about Bitcoin’s short-term outlook. He said BTC could trade between $60,000 and $70,000, with a possible drop to $50,000 before a recovery tied to a credit-cycle reset.

He said he does not believe Bitcoin has reached its cycle bottom yet and expects that bottom to arrive only after the AI bubble unwinds. In the Thinking Crypto interview, Hayes said the timing is uncertain, suggesting the unwind could come “this fall” or take “years.”

His $1 million Bitcoin forecast depends on a chain of events that begins with an AI overbuild, leads to a credit crisis, and then pushes liquidity toward non-bank assets such as Bitcoin.

Hayes also said Ethereum could peak between $100,000 and $200,000. According to his remarks, Maelstrom plans to build a meaningful ETH position while selling out-of-the-money put options to help reduce downside risk.

He added that institutional demand is important to reaching those levels, and said corporate Bitcoin adoption strengthens the broader bullish case.

What Hayes Says Must Happen Before Bitcoin Benefits

Under Hayes’ thesis, a broad selloff in risk assets would likely come first, including Bitcoin. He said an unwind in AI stocks could pressure bank lending and speculative capital, causing Bitcoin to fall alongside other assets until policymakers inject liquidity.

Hayes expects that response to be larger than both the 2008 financial crisis and the COVID-19 stimulus. In his view, once the credit event unfolds, some investors could move capital out of AI and into Bitcoin and gold.

He also said the CLARITY Act has “no significance” for Bitcoin’s price because he sees Bitcoin’s value as tied to operating outside the regulated financial system.

Hayes compared Bitcoin’s long-term setup to historical asset-price moves that followed monetary intervention, and drew a parallel with gold’s performance after the development of gold ETFs.