The Year’s Hottest Crypto Trade Is Crumbling
Selloff in bitcoin and other digital tokens hits crypto-treasury companies.
3 min
The hottest crypto trade has turned cold. Some investors are saying “told you so,” while others are doubling down.
It was the move to make for much of the year: Sell shares or borrow money, then plough the cash into bitcoin, ether and other cryptocurrencies. Investors bid up shares of these “crypto-treasury” companies, seeing them as a way to turbocharge wagers on the volatile crypto market.
Michael Saylor pioneered the move in 2020 when he transformed a tiny software company, then called MicroStrategy , into a bitcoin whale now known as Strategy. But with bitcoin and ether prices now tumbling, so are shares in Strategy and its copycats. Strategy was worth around $128 billion at its peak in July; it is now worth about $70 billion.
The selloff is hitting big-name investors, including Peter Thiel, the famed venture capitalist who has backed multiple crypto-treasury companies, as well as individuals who followed evangelists into these stocks.
Saylor, for his part, has remained characteristically bullish, taking to social media to declare that bitcoin is on sale. Sceptics have been anticipating the pullback, given that crypto treasuries often trade at a premium to the underlying value of the tokens they hold.
“The whole concept makes no sense to me. You are just paying $2 for a one-dollar bill,” said Brent Donnelly, president of Spectra Markets. “Eventually those premiums will compress.”
When they first appeared, crypto-treasury companies also gave institutional investors who previously couldn’t easily access crypto a way to invest. Crypto exchange-traded funds that became available over the past two years now offer the same solution.
BitMine Immersion Technologies , a big ether-treasury company backed by Thiel and run by veteran Wall Street strategist Tom Lee , is down more than 30% over the past month.
ETHZilla , which transformed itself from a biotech company to an ether treasury and counts Thiel as an investor, is down 23% in a month.
Crypto prices rallied for much of the year, driven by the crypto-friendly Trump administration. The frenzy around crypto treasuries further boosted token prices. But the bullish run abruptly ended on Oct. 10, when President Trump’s surprise tariff announcement against China triggered a selloff.
A record-long government shutdown and uncertainty surrounding Federal Reserve monetary policy also have weighed on prices.
Bitcoin prices have fallen 15% in the past month. Strategy is off 26% over that same period, while Matthew Tuttle’s related ETF—MSTU—which aims for a return that is twice that of Strategy, has fallen 50%.
“Digital asset treasury companies are basically leveraged crypto assets, so when crypto falls, they will fall more,” Tuttle said. “Bitcoin has shown that it’s not going anywhere and that you get rewarded for buying the dips.”
At least one big-name investor is adjusting his portfolio after the tumble of these shares. Jim Chanos , who closed his hedge funds in 2023 but still trades his own money and advises clients, had been shorting Strategy and buying bitcoin, arguing that it made little sense for investors to pay up for Saylor’s company when they can buy bitcoin on their own. On Friday, he told clients it was time to unwind that trade.
Crypto-treasury stocks remain overpriced, he said in an interview on Sunday, partly because their shares retain a higher value than the crypto these companies hold, but the levels are no longer exorbitant. “The thesis has largely played out,” he wrote to clients.
Many of the companies that raised cash to buy cryptocurrencies are unlikely to face short-term crises as long as their crypto holdings retain value. Some have raised so much money that they are still sitting on a lot of cash they can use to buy crypto at lower prices or even acquire rivals.
But companies facing losses will find it challenging to sell new shares to buy more cryptocurrencies, analysts say, potentially putting pressure on crypto prices while raising questions about the business models of these companies.
“A lot of them are stuck,” said Matt Cole, the chief executive officer of Strive, a bitcoin-treasury company. Strive raised money earlier this year to buy bitcoin at an average price more than 10% above its current level.
Strive’s shares have tumbled 28% in the past month. He said Strive is well-positioned to “ride out the volatility” because it recently raised money with preferred shares instead of debt.
Cole Grinde, a 29-year-old investor in Seattle, purchased about $100,000 worth of BitMine at about $45 a share when it started stockpiling ether earlier this year. He has lost about $10,000 on the investment so far.
Nonetheless, Grinde, a beverage-industry salesman, says he’s increasing his stake. He sells BitMine options to help offset losses. He attributes his conviction in the company to the growing popularity of the Ethereum blockchain—the network that issues the ether token—and Lee’s influence.
“I think his network and his pizzazz have helped the stock skyrocket since he took over,” he said of Lee, who spent 15 years at JPMorgan Chase, is a managing partner at Fundstrat Global Advisors and a frequent business-television commentator.
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Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
4 minA sharp technology sell-off has exposed a new anxiety on global markets: whether the enormous borrowing behind the artificial-intelligence infrastructure boom can generate sufficient returns as interest rates rise and Chinese competition intensifies.
The artificial-intelligence investment boom has powered technology shares, semiconductor manufacturers and data-centre operators to extraordinary heights. Last week, investors were given a reminder that much of this expansion is being built with borrowed money.
The technology-heavy Nasdaq Composite fell 4.5 per cent over the week ended October 16, its weakest performance since late June. Semiconductor shares suffered an even deeper correction, with the Philadelphia Semiconductor Index losing about 11.4 per cent.
The selling spread quickly through global markets. Micron Technology fell 14.6 per cent over the week, while South Korea’s Samsung Electronics and SK Hynix dropped approximately 18 per cent and 24 per cent respectively.
This was more than a routine bout of profit-taking. Investors were reassessing three interconnected risks: higher interest rates, the rapidly expanding debt burden attached to AI infrastructure and the prospect of stronger competition from Chinese memory-chip manufacturers.
The debt behind the AI build-out
Artificial intelligence requires a physical infrastructure network of enormous scale. Data centres must be built, advanced processors purchased, power supplies secured and cooling systems installed before customers begin generating meaningful revenue from them.
Technology companies are increasingly supplementing their own cash with corporate bonds, syndicated loans, equipment leases, private credit and project-level financing.
JPMorgan describes the emerging funding model as a combination of conventional corporate borrowing and project finance tied to individual data-centre assets. In Australia, the Reserve Bank estimates that syndicated loans accounted for approximately three-quarters of data-centre financing during 2025 and 2026 to date.
The numbers are becoming large enough to affect broader credit markets. The Federal Reserve Bank of Dallas has cited Wall Street estimates suggesting AI-related investment-grade bond issuance could approach US$300 billion in 2026 alone.
That borrowing is not automatically problematic. Debt can be an efficient way to finance long-lived infrastructure when future revenue is sufficiently predictable. The concern is that AI technology, customer demand and computing economics are changing much faster than the repayment schedules attached to the assets.
A data centre financed today may carry debt for years. Investors must therefore make assumptions about future utilisation rates, electricity prices, chip performance, customer concentration and the amount businesses will ultimately pay for AI computing.
When interest rates rise, those assumptions become less forgiving.
Inflation changes the calculation
September’s US inflation data intensified the pressure. Consumer prices increased 3.7 per cent over the year, ahead of market expectations and up from 3.4 per cent in August.
The hotter reading reduced confidence that interest rates would fall quickly and pushed bond yields higher. That matters particularly for companies whose valuations depend on profits expected well into the future, as well as highly leveraged infrastructure operators that may need to refinance.
CoreWeave has emerged as a closely watched test case. The specialist cloud-computing company has accumulated substantial debt and lease obligations to build AI capacity, while relying on a concentrated group of large technology customers.
Its shares fell sharply during the sell-off, while the cost of insuring its debt against default climbed. CoreWeave has argued that its contracted backlog more than covers its obligations and that financial markets do not always understand its business model. Nevertheless, its securities have become a proxy for investor confidence in debt-funded AI infrastructure.
Oracle, another major investor in AI computing capacity, fell 8.8 per cent in Friday trading, while CoreWeave dropped 15.5 per cent.
The question is shifting from how much AI infrastructure can be built to how profitably it can be operated.
China adds another source of pressure
Interest rates were not the only catalyst. Reports of advances by Chinese memory-chip producer ChangXin Memory Technologies raised concerns that lower-cost Chinese products could increase competition across the global semiconductor industry.
Memory chips are essential to AI systems, but the industry is historically cyclical. Periods of tight supply and high pricing can encourage rapid investment, eventually producing oversupply and falling margins.
The prospect of a well-funded Chinese competitor expanding its technological capabilities unsettled investors in Samsung, SK Hynix and Micron. It also demonstrated that AI-related demand does not insulate chipmakers from conventional competitive pressures.
That combination—slower rate cuts, more expensive financing and potentially cheaper supply—challenged the assumption that every company exposed to AI would enjoy continually expanding margins.
A reset rather than the end of the boom
The sell-off does not establish that the AI boom is ending. Demand for computing power remains strong, the largest technology companies continue to generate formidable cash flows and many infrastructure projects are backed by long-term customer contracts.
What has changed is the market’s willingness to overlook the price and financing structure of that growth.
The most resilient companies are likely to be those able to fund investment from operating cash flow, secure long-duration customers and demonstrate that new capacity will earn returns comfortably above its financing costs.
More speculative operators may face greater scrutiny, particularly where debt is expensive, customers are concentrated or expected revenue depends on demand that has not yet materialised.
For Australian investors, the lesson extends beyond US technology shares. Local data-centre operators, infrastructure funds, electricity suppliers and property groups are increasingly exposed to the same investment cycle.
Artificial intelligence may remain one of the defining growth themes of the decade. But last week’s correction showed that enthusiasm for the technology does not eliminate financial discipline.
The next stage of the AI boom will be judged not only by computing power, model performance or demand for chips, but by something more traditional: whether the assets being financed can generate enough cash to repay the money borrowed to build them.
Fact box
Nasdaq Composite: Down 4.5 per cent for the week ended October 16, 2026
Philadelphia Semiconductor Index: Down approximately 11.4 per cent
Micron Technology: Down approximately 14.6 per cent
Samsung Electronics: Down approximately 18 per cent
SK Hynix: Down approximately 24 per cent
US September inflation: 3.7 per cent annually
Estimated 2026 AI-related investment-grade issuance: Approximately US$300 billion
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