Arthur Hayes, the co-founder of the cryptocurrency exchange BitMEX, has never been shy about predicting dramatic moves in financial markets. In his latest essay, titled “Situationship,” Hayes argues that the artificial intelligence sector is heading toward a painful correction. More importantly for cryptocurrency investors, he believes that correction could become the catalyst for a powerful Bitcoin bull market.
Hayes is one of the most recognizable figures in the crypto industry. He co-founded BitMEX in 2014, and the exchange quickly became a major venue for Bitcoin derivatives and margin trading. Although Hayes later stepped down from his leadership role, he remains an influential commentator. His market essays often blend technical analysis, macroeconomic theory, and a healthy dose of irreverent humor.
His latest essay has attracted attention because it challenges the prevailing narrative that the AI boom is unstoppable. While many investors are focused on the potential of artificial intelligence to transform industries, Hayes is looking at the financial structures underpinning the AI buildout. His focus is not on the software or algorithms, but on the enormous physical infrastructure being built to support them.
The AI infrastructure boom is a credit bubble
In his essay, Hayes argues that many investors are misreading the AI boom. The current wave of enthusiasm for artificial intelligence is not primarily a software story, in his view. It is an infrastructure story, and that infrastructure is being built with enormous amounts of borrowed money. Data centers, power plants, cooling systems, and the vast supply chains around them are being financed by banks, private credit funds, hedge funds, and government programs.
According to Hayes, those investors are treating AI infrastructure as though it were a fast-growing technology business. In reality, he says, these projects behave more like highly leveraged real estate developments. They require massive upfront capital, they are sensitive to interest rates, and they can easily become unprofitable if demand does not grow exactly as projected.
The scale of planned AI investment is staggering. Some of the world’s largest companies have announced multiyear spending plans that run into the hundreds of billions of dollars. At the same time, private credit firms have stepped in to finance everything from new data center construction to long-term power purchase agreements. This combination of public and private capital has created a financing boom that Hayes believes will end badly.
Why this bubble may resemble 2008
Hayes distinguishes the current moment from the dot-com crash of the late 1990s. That earlier crash was powered mainly by unrealistic expectations about corporate earnings and internet adoption. The AI correction, by contrast, could resemble the 2008 financial crisis, which was caused by an explosion of credit.
In 2008, banks and other lenders had made enormous loans against assets that turned out to be far less valuable than assumed. Hayes believes a similar dynamic is playing out with AI data centers. Financial institutions are lending aggressively against projects that may not generate sufficient revenue. If financing conditions tighten, or if the expected surge in AI demand fails to materialize, the valuation gap could become a full-blown crisis.
The 2008 comparison is important because it changes the expected sequence of the crash. A dot-com style crash would mainly hurt equity investors in technology companies. A credit-driven crash, however, can ripple through the entire financial system, hitting banks, hedge funds, pension funds, and insurers. The fallout would be more extensive, and the policy response would likely be much bigger.
An oversupply of data centers
One of Hayes’s key points is the risk of oversupply. Tech giants and startup firms alike have rushed to secure land, power, and chips for new data centers. Governments have also promoted these projects as symbols of industrial strength. When too much money chases a limited pool of high-quality projects, the latecomers often end up with stranded assets. That is a pattern seen in previous infrastructure booms, from railroads to fiber-optic networks.
If even a fraction of the planned AI capacity actually gets built, the market could find itself with more computing power than it needs. At the same time, a sharp rise in interest rates has made debt financing more expensive. The combination of high leverage, long construction timelines, and uncertain demand is a recipe for stress.
Many AI data centers are being built in locations where electricity is cheap and land is abundant. But those locations may not have the network capacity or the customer base to justify the scale of the investment. If companies overestimate future demand, they will be left with enormous fixed costs and very little revenue.
Central banks and the path to a Bitcoin bull market
Hayes’s argument is not simply that the AI boom will end badly. He goes further and says the aftermath could be very good for Bitcoin. If the AI correction is severe, central banks would almost certainly intervene with liquidity injections, interest rate cuts, or other forms of monetary stimulus. The goal would be to prevent the damage from spreading to the broader economy.
This is where Bitcoin becomes relevant. Bitcoin is a risk asset, but it is also a monetary asset with a fixed supply. When central banks print money or ease financial conditions, Bitcoin has historically benefited. Hayes calls this sequence the key to a “rip-roaring” bull market. In other words, the pain in AI markets could be the trigger for the next great move in digital assets.
The reasoning is straightforward. A credit crisis usually forces policymakers to create new money to stabilize the system. That new money has to go somewhere. Some of it will flow into assets that cannot be inflated away. Bitcoin, with its hard cap of 21 million coins, is one of the clearest beneficiaries of that dynamic.
Hayes’s view is not the mainstream consensus. Many analysts still view Bitcoin as purely a risk-on trade that would fall in any major crisis. But the 2020 pandemic crash and the subsequent global monetary response showed a different pattern. Bitcoin fell briefly and then rallied far beyond its previous highs as central banks flooded the world with liquidity.
Institutional demand remains strong
The idea of a Bitcoin bull market is not just speculative. Even during a recent period of price volatility, institutional interest in Bitcoin has continued to grow. Spot Bitcoin exchange-traded funds have attracted steady inflows, making it easier for traditional money managers to gain exposure. The launch of these ETFs was an important milestone for the asset class, and their ongoing popularity suggests that large allocators are looking beyond short-term swings.
Long-term holders also remain a powerful force. A significant share of the circulating supply has not moved in months or years, which indicates that many investors are reluctant to sell at current prices. Supply scarcity, in turn, can magnify the impact of any new demand.
If an AI-driven recession prompts central banks to cut rates and resume quantitative easing, Bitcoin’s supply dynamics become even more favorable. The new liquidity would search for high-growth assets, and Bitcoin’s finite supply makes it a natural candidate for capital that wants to preserve purchasing power.
The macro backdrop and Bitcoin’s price
Bitcoin’s price has been volatile, but the broader trend is still influenced by macroeconomic forces. A US recession, or a global slowdown triggered by an AI bust, could cause a short-term drop in risky assets. Yet the policy response that follows could be even more powerful. Hayes’s view is that Bitcoin is uniquely positioned to absorb the liquidity that central banks release in times of crisis.
At the time of writing, Bitcoin was trading at $64,354, reflecting a gain of 0.85% over the previous 24 hours. The market is closely watching for signs that the AI investment cycle is losing momentum. If Hayes is right, the consequences will be felt far beyond the technology sector.
Source:ZyCrypto News