1 In 4 Australians Don’t Have Enough Super Or Assets To Retire

Almost one in four Australians say they do not have enough superannuation or other investments to get by in retirement, according to a survey by Finder. When extrapolated to a population level, this indicates that 4.6 million people are facing up to a financially difficult future.

A further 27% said they were not sure if they would have enough in superannuation to retire. Just 17% said they were confident they would have enough wealth for retirement, while a further 22% said they would have enough in super but would cut back on spending.

One in 10 said their superannuation balance was too low but they had other investments that would provide enough income or capital to fund their retirement.

“Superannuation is something many Australians, including the younger demographic, don’t engage in enough,” said Sarah Megginson, Finder’s money expert. “It can be a sad case of ‘too little too late’ for many who realise that by the time they reach retirement age, their super balance will fall well short of the amount of money they will need.”

According to the Australian Retirement Standard, a ‘comfortable’ retirement costs $70,806 per annum for couples and $50,207 for singles. A modest lifestyle costs $45,946 and $31,867, respectively. The superannuation balances required for a comfortable retirement are $690,000 for couples and $595,000 for singles by age 67. For a modest lifestyle, both couples and singles need a superannuation balance of $100,000.

Currently, the full pension including supplements is $42,988 per annum for couples and $28,514 for singles. However, income and asset tests apply. A couple with their own home is eligible for the full pension if their combined assets (excluding their home) are worth less than $451,500 and they earn an annual income below $9,360. If they do not own a home, the threshold is $693,500. For a single homeowner, the asset limit is $301,750 and the income limit is $5,304. For single non-homeowners, the asset threshold is $543,750.

Ms Megginson said Australians needed to assess their superannuation carefully. “First, it’s essential to know how much you have in super and to consolidate your funds,” she said. “You pay fees for each fund you have – it’s like having your savings split across three savings accounts and paying account-keeping fees on all of them.”

Ms Megginson suggested workers contribute to their super through salary sacrifice or voluntary lump-sum payments. An earlier Finder survey conducted in June 2022 found 46% of Australians do not make additional contributions to super. In FY23 and FY24, taxpayers are allowed to contribute a total of $27,500 per annum concessionally (meaning less tax) incorporating compulsory super paid by their employers and other payments and benefits.

“For instance, if you salary sacrifice $1,000 over 12 months, you’d pay $150 on that income and $850 will go to super where it will be invested for your future. Otherwise, you’ll pay $325 tax on that money and have $675 in your bank account. Any income earned within your super is capped at a maximum tax rate of 15% per annum. If you currently pay say 32.5% tax, you’re ahead immediately.”

Megginson warned workers to compare their super fund’s fees to other super funds. “Make sure you aren’t stuck in a fund charging exorbitant fees and check regularly that your employer is paying your 11% Superannuation Guarantee contributions on time.”

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