Arthur Hayes is warning that the AI trade could be close to a reality check, with higher energy prices, a wave of mega IPOs and U.S. political pressure threatening the same liquidity cycle that has helped push AI stocks ahead of Bitcoin.
In his latest essay, Reality Test, the BitMEX co-founder argued that the AI market now faces three pressure points at once: rising energy costs, the market’s ability to absorb the SpaceX, Anthropic and OpenAI listings, and the risk that President Donald Trump turns against AI data centers and tech billionaires as an election-year affordability issue.
Hayes’ core argument is that AI has absorbed much of the dollar liquidity that might otherwise have flowed into Bitcoin. Data centers, chips, power contracts and model training require enormous capital spending. If AI stocks start falling, he expects the same credit and liquidity machine that supported the boom to tighten before any rescue arrives.
That is why he does not expect Bitcoin to immediately benefit from an AI crash. In his view, BTC could dump first as investors sell liquid crypto positions to cover losses, reduce leverage and protect capital. The bullish turn would come later, once governments and central banks respond to the damage with easier liquidity.
SpaceX, Anthropic And OpenAI Become Market Stress Tests
The IPO wave sits at the center of Hayes’ warning. SpaceX is expected to come first, with a valuation story already pushing toward the largest public listing in history. Hayes compared the setup to a low-float, high-valuation crypto launch, where initial scarcity can create a pop but later unlocks and supply pressure can test demand.
The SpaceX trade has already become a major market event, with the company pushing toward a record public-market valuation and investors trying to price Elon Musk’s rocket, satellite and AI infrastructure empire before the first trading session. If SpaceX struggles after listing, Hayes believes investors could read that as a sign that the broader AI boom has topped.
Anthropic adds another layer because its compute buildout is already pulling in Wall Street credit, Google TPUs and long-term hardware commitments. The company’s recent $35 billion private-credit deal for Google TPUs shows how deeply AI infrastructure is now tied to asset-backed finance, chip supply and future model revenue.
OpenAI would complete the trio. If all three names try to absorb massive capital at rich valuations in a short window, Hayes expects public markets to struggle with the supply. The problem is not only demand for one IPO. It is whether investors can keep paying higher multiples across the entire AI complex while new shares, lockups and private-market exits hit at the same time.
Oil Prices Threaten The AI Cost Model
Energy is the other major pressure point. AI data centers convert electricity into intelligence, and electricity costs depend heavily on energy markets. Hayes argues that rising oil and gas prices can raise the cost of model training and inference, pressure margins and make customers more sensitive to AI pricing.
That turns geopolitics into a direct AI valuation risk. If Middle East tensions keep oil elevated, the cost of power, cooling, logistics and data-center expansion can rise with it. AI companies may still grow usage, but the market could start questioning whether future profits justify current valuations.
The same energy pressure can also shape politics. Hayes argues that Trump could use anti-AI rhetoric, data-center restrictions or taxation threats to appeal to voters worried about inflation, jobs and local energy costs. The market may not wait for legislation. A serious political turn against AI capex could be enough to hit valuations if investors believe the growth model is facing regulatory risk.
The risk is already visible in markets that have become hypersensitive to AI policy and chip supply. Recent tech volatility spread from U.S. chip names into Asia, while the Nasdaq rebound tied to easing geopolitical tension showed how quickly risk assets react to oil and ceasefire headlines.
Bitcoin Could Dump Before The Liquidity Rebound
Hayes’ Bitcoin view is not a simple bearish call. It is a timing call.
He expects Bitcoin to struggle if the AI bubble breaks because investors will initially need cash, not crypto exposure. AI-linked equities, margin loans, private credit and data-center financing are all connected to the same risk-capital pool. A sharp drawdown could force selling across liquid assets, including BTC.
That view fits the recent crypto weakness that followed the AI mega-raise narrative, where Bitcoin slid as capital rotated toward private AI deals and away from digital assets. Hayes has already acted on that risk by cutting non-core crypto positions, including his recent HYPE and NEAR sales.
The bullish part comes after the stress. If the AI bubble bursts hard enough to damage banks, credit markets and equity wealth, Hayes expects policymakers to eventually respond with more liquidity. Bitcoin would then begin pricing the next rescue cycle before traditional markets fully recover.
For now, Hayes is focused on capital preservation. His warning is that AI has become the market’s liquidity magnet, and Bitcoin may not escape the first wave if that magnet breaks. The opportunity comes later, when the fallout forces another round of money creation and BTC starts trading the next liquidity cycle.
Be the first to comment