The generational investment divide for Australians
A new report on the impact of cost of living pressures reveals a stark contrast between age groups in investment strategies
3 min
Four in five Australians say they have changed their investment and savings goals over the past 12 months, with 44 percent doing so primarily to make ends meet during the cost–of–living crisis. A further 25 percent say they’ve switched strategies to protect their wealth against inflation, according to a new survey by financial advisory firm, Findex.
The Superannuation and Retirement Insights report shows Australians have also changed their goals to grow their wealth (31 percent), to create a regular income stream (29 percent) and to reduce taxes (17 percent). Transferring wealth to their children or other family members has motivated 10 percent of Australians to alter their investment plans, which is likely reflective of the increasing role played by the Bank of Mum and Dad in young people’s first home purchases.
The report found that traditional investment avenues, such as property and superannuation, remain the most popular choices, with more than eight out of 10 survey respondents ranking these asset classes highly. But there is also an increasing inclination towards investments that offer the potential for quicker returns, additional perceived safety, and better liquidity or accessibility to funds.
Eighty percent of survey respondents also nominated bank savings as among their top five investment choices right now, followed by shares (66 percent) and cash (51 percent).
“This shift reflects a broader strategy to mitigate current financial uncertainties, balancing the pursuit of long-term wealth accumulation with the need for immediate financial security,” the report says.
While superannuation is considered a cornerstone investment for retirement and long-term wealth accumulation, 85 percent of Australians are exploring investments outside superannuation. The most common investments outside super are bank savings (64 percent), property (38 percent), cash (35 percent) and shares (34 percent).
However, when the data is broken down by generation, stark differences are revealed in how each age cohort chooses to invest their spare income and why.
Most popular investments outsider super and the motivations to invest by generation
Baby Boomers (born 1965-1964)
Outside superannuation, Baby Boomers prefer to invest in bank savings (60 percent), property (50 percent) and shares (46 percent).
By far, their primary motivation for investing is planning for retirement (80 percent). They also want to build wealth (51 percent) and support their children or other family members (25 percent). Other motivations include preserving wealth to beat inflation (22 percent) and paying off a mortgage or other debt (20 percent). They are the least likely generation to be saving for an investment property.
Gen Xers (born 1965–1980)
Gex Xers prefer to invest in bank savings (57 percent), property (43 percent) and shares (36 percent).
They are motivated to invest for retirement (66 percent), to build wealth (50 percent), to save for emergencies (36 percent), and to pay off a mortgage or other debt (30 percent). Interestingly, Gen X is the generation most concerned with supporting their children or family members (33 percent). This may be because Gen Xers have grown up during Australia’s long-standing property boom that began in the late 1990s and continues today.
Millennials (born 1981-1996)
Millennials have the strongest interest in bank savings as an investment avenue (70 percent), followed by property at 41 percent. They also like cash (35 percent) and shares (33 percent). Millennials have the highest uptake of exchange-traded funds (ETFs) at 21 percent. ETFs are a relatively new type of asset class, with the first ones trading on the ASX in 2001. ETFs are a basket of shares that can be purchased in a single transaction for instant diversification. Millennials are also the generation most interested in cryptocurrencies, with 22 percent invested.
Their biggest motivations for investing are to build wealth (55 percent), save for emergencies (50 percent) and plan for retirement (49 percent). They also want to support their kids (32 percent) and pay off their mortgage (32 percent). Millennials are the generation most likely to be saving for an investment property (28 percent) rather than a first home (17 percent).
Gen Zs (born 1997-2009)
Gen Zs spread their money across more asset classes than their elders. They like investing in bank savings (66 percent), cash (42 percent), shares (22 percent), ETFs (17 percent), property (14 percent) and cryptocurrencies (13 percent).
While Gen Zs are the youngest age cohort within the survey, they also have long-term goals just like their elders. The biggest motivation to invest among Gen Zs is to build wealth (52 percent). More Gen Zs are saving for a first home than any other generation, with 42 percent pursuing this goal. They are also the generation most concerned with preserving wealth to beat inflation (29 percent). Gen Zs also want short-term security, with 46 percent saving for emergencies. They’re also the generation most likely to be saving for other major purchases like a car or holiday (41 percent) and investing just for enjoyment (26 percent).
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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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