The AI Boom Faces Its First Serious Debt Test
Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
4 min
A 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
Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
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A record 11.5 million Australians now invest beyond super and property, new ASX data shows — driven by ETFs, younger and female investors, and a growing reliance on AI for financial information
3 min
Australians are putting money to work outside the family home and superannuation at the highest rate since the global financial crisis — and this time, more of them are women, under-30s and first-timers than ever before.
New research from the ASX’s Australian Investor Study, released this month, puts the number of adults holding shares, ETFs, property investments, term deposits or cryptocurrency beyond their super and primary residence at 11.5 million — up from 10.2 million in 2023 and now representing 54% of the adult population. Roughly 2.5 million of those investors have entered the market since the start of the decade.
It’s a milestone ASX chief executive Anthony Attia frames as more than a personal finance story. “Investment capital helps businesses grow and create jobs,” Attia said, pointing to the importance of trusted information and well-functioning markets in sustaining the trend.
Australia out-invests the UK and Germany
By one measure, Australians are now more likely to hold listed investments than their counterparts in comparable markets: 39% of adults hold shares, ETFs or other listed investments outside super and the family home, ahead of the UK (35%) and well clear of Germany (around 20%).
The typical Australian investor earns a median $110,000 and is 46 years old — but the growth is coming disproportionately from the edges of that profile. Investors aged 18 to 29 now make up 21% of the investing population, while women have climbed to 41% of on-exchange investors, up from 38% in 2023. Four in ten investors are still building relatively modest portfolios, with 42% holding less than $100,000.
ETFs and crypto rewrite the asset mix
Shares remain the most commonly held asset, followed by residential property, but it’s ETFs and cryptocurrency reshaping the next layer down. An estimated 2.82 million Australians now hold ETFs — more than double the number in 2020 — as the local ETF industry’s assets under management swell to roughly $388 billion, on the back of record quarterly inflows of $21 billion.
Cryptocurrency isn’t far behind: an estimated 2.79 million Australians currently hold or have traded crypto in the past year, with uptake concentrated among younger investors.
The next wave looks different — and it’s mostly women
Perhaps the most striking shift is among Australians who haven’t invested yet but plan to. An estimated 950,000 non-investors intend to start within the next 12 months, and for the first time in the study’s history, women significantly outnumber men in that group — 61% to 39%. Almost four in ten intending investors are aged 18 to 29, and the typical starting amount is modest: a median $690.
Where existing investors built portfolios around direct shares, this incoming cohort is leaning toward ETFs as the easier entry point, with around a third citing ETFs as their likely first investment compared with 41% nominating direct ASX shares.
Underlying much of the shift is a familiar frustration: property. With home values still soft and affordability stretched, investing is increasingly positioned as the more accessible path to building wealth — a dynamic likely to keep pushing shares, ETFs and crypto into a bigger slice of household balance sheets.
Knowledge — and who to trust — is the real barrier
The study’s authors point to a consistent hurdle: it isn’t access or capital holding Australians back, it’s knowledge, and specifically knowing which sources of information to trust. That’s reshaping how people research decisions — investors now lean on a broader mix of advisers, brokers, digital platforms, family and friends, podcasts and, increasingly, AI tools.
This is the first year the study has measured AI use directly: 14% of investors aged 18 to 29 already use AI tools as a source of investment information. Demand for formal advice is rising in step — 37% of all investors intend to seek financial advice within 12 months, up from 32% in 2023, and among 18-to-29-year-olds that figure has jumped from 28% to 46%.
Four decades of watching Australia invest
This year’s study is the 19th in a series tracing back to the original 1986 Australian Share Ownership Study, and ASX has marked the milestone with a companion report, A nation of investors: 40 years of the ASX Australian Investor Study, charting the rise of electronic markets, online broking, investor education and the democratising effect of ETFs over four decades.
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