Population projections: We’re getting older and having fewer babies
ABS projections for the next 50 years point to migration as the pathway to population growth
3 min
Australia’s ageing population is clearly evident in the latest round of population projections just released by the Australian Bureau of Statistics (ABS). The median age in Australia is currently 38.5 years. By 2071, this will increase to between 43.8 years and 47.6 years.
The ABS comments: “Of the changes projected to occur in Australia’s population, ageing is generally considered to be the most dramatic, with significant changes to the age structure of the population. Ageing of the population is a trend which has been evident over recent decades as a result of fertility remaining below replacement level and declining mortality rates.”
The proportion of children aged 0-14 years is projected to decline from 18% in 2022 to between 13% and 16% in 2071. The working age population aged 15-64 years is projected to decrease from 65% to between 59% and 60% in 2071. People aged 65 years and over will increase from 17% in 2022 to between 25% and 27% in 2071.
Overall, our population will swell from 26 million as of 30 June 2022 (and 26.5 million today) to between 34.3 million and 45.9 million by 2071. We’ll see a stronger growth rate of between 1.2% and 1.7% per annum over the next decade, but over the entire projection period, the growth rate will average out to between 0.6% and 1.1% per year.
Australia’s population growth is comprised of natural increase (births minus deaths) and net overseas migration (migrant arrivals minus migrant departures). Migration will play a bigger role in our population growth than natural increase, according to the projections.
In 2021-22, there was a natural increase of 117,400 people in Australia. In 2071, the ABS projects natural increase to range from 104,500 people per year to 118,000 per year. If Australia had no migration at all over the projection period, the population would fall to 23.9 million by 2071. The ABS says Australia’s birth rate has been declining for many decades.The fertility rate peaked in 1961 during the ‘baby boom’ at 3.5 babies per woman. The replacement level is considered to be 2.1 babies, but we haven’t been there since 1975. The current average is 1.64 babies per woman.
Australian women are also having their babies later in life. The ABS comments: “Over the past 10 years, age-specific fertility rates have been declining for the younger age groups (women below age 30), whilst remaining stable among women aged 30 years and over, representing a continuing shift in fertility towards older ages.”
The ABS expects net overseas migration gains of between 9.2 million and 14.1 million people in total over the next 50 years. NSW and Victoria will continue to attract the lion’s share of Australia’s new arrivals. NSW will attract 35.8% and Victoria will bring in 32.8%. NSW will receive between 63,000 and 97,900 migrants (net) per year from 2032, whileVictoria will receive between 57,400 and 90,200.
In terms of net interstate migration, or the movement of Australian residents between states, Queensland is expected to remain the favourite destination. The Sunshine State overtook Victoria in 2016-17 and this trend remains. It was turbocharged during COVID-19 when remote working prompted many people to leave NSW and Victoria. Queensland’s NIM rate more than doubled from 22,600 people in 2018-19 to 48,800 people in 2021-22.
Australians are expected to continue loving big city living. The unique concentration of our population is a factor keeping metro property prices as high as they are today. As of 30 June 2022, 67% of us were choosing to live in one of eight capital cities. This trend will continue, however, Melbourne is projected to overtake Sydney as Australia’s largest city sometime between 2032 and 2046. Its population will grow from just over 5 million in 2022 to between 6.5 million and 9.9 million by 2071.
The states with the highest concentration of capital city residents are currently Perth, Adelaide and Melbourne, and this trend will continue. Perth is currently home to 80% of West Australian residents and this will either remain the case or rise slightly to 81% over the next decade. Adelaide is home to 78% of South Australia’s population and this will rise to between 79% and 80%. Currently, 76% of Victorians choose to live in Melbourne and this will either stay the same or lift to 77% by 2032.
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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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