Consumer confidence at its lowest in Australia since 1990s recession
High interest rates and the cost-of-living crisis are creating a gloomy outlook among many
2 min
Consumer confidence fell in January to its lowest level for the first month of a new year since the 1990s recession. The Westpac-Melbourne Institute Consumer Sentiment Index fell 1.3 percent to 81 points. Westpac senior economist Matthew Hassan said this reading was in the bottom 7 percent of all sentiment measures ever recorded since the survey began in the mid-1970s.
“For consumers, the new year looks to have picked up where the old one left off: cost of living and high interest rates continuing to dominate and sentiment bumping around deeply pessimistic levels,” Mr Hassan said. “The continued weak reads on sentiment show Australian consumers remain under intense pressure as the surging cost of living, materially higher interest rates and rising tax take weigh heavily on incomes.”
The sub-indexes measuring consumers’ outlook for the economy and their personal finances in 2024 remained “materially below long-term averages”. Mr Hassan said there was a further deterioration in family finances this month.
“The ‘finances compared to a year ago’ sub-index dropped 7.6 percent to 63, unwinding most of the 11 percent improvement seen over the three months to December. Those in low- and middle-income brackets reported the biggest deterioration in the month.”
Australians are also worried about the medium to long-term prospects for the economy. Consumers’ five-year outlook on the economy fell 6.1 percent to 89.1 points, with young renters driving this fall.
Just over half of the 1,200 people who participated in the survey said they expected interest rate rises to continue in 2024. This is down from 60 percent in December and follows the lower monthly inflation reading of 4.3 percent in November, as well as expectations in the United States that the Federal Reserve will begin cutting interest rates in the world’s biggest economy this year.
Mr Hassan commented that Australian consumers are much more ‘hawkish’ on rates than the financial markets and economists. “While just over half of consumers expect mortgage rates to rise, futures markets are currently pricing in 50bps in cuts by year-end, with three out of four economists also expecting the cash rate to move lower,” he said.
Housing-related sentiment continued to show “a stark gap between buyer sentiment and price expectations”, Mr Hassan noted. The ‘time to buy a dwelling’ sub-index fell 3.1 percent to 72 points, which is considered very weak. More than two-thirds of consumers expect house prices to rise in 2024. This follows a surprising 8.6 percent lift in the national median house price in 2023, according to CoreLogic data.
This price growth was largely due to fewer homes for sale, more cash buyers at the market’s upper end, greater demand in cheaper suburbs, which resulted in strong price growth, and increased first home buyer activity facilitated by the Bank of Mum and Dad and the expanded First Home Guarantee scheme.
Looking ahead, the December quarterly inflation read to be released by the Bureau of Statistics on 31 January will be critical to the Reserve Bank’s next interest rate decision on 6 February, said Mr Hassan.
“On balance, we expect the RBA to leave rates unchanged in February, and to be unlikely to raise rates further from here,” he said. “However, a material upside surprise on inflation would make for a more finely balanced decision.”
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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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