Australia to outshine its peers in ‘surprisingly resilient’ global economy

The International Monetary Fund (IMF) has described the global economy as “surprisingly resilient” amid rapid interest rate rises to quell high inflation since 2022, post-pandemic supply chain disruptions, a short-term spike in energy prices due to the war in Ukraine and increased geopolitical tensions involving China and the Middle East.

The IMF’s biannual World Economic Outlook report says the world has so far avoided stagflation and recession, with large pandemic savings enabling households to cope with higher rates and inflation, and strong immigration in advanced economies creating unusually tight labour markets.

IMF economic counsellor Pierre-Olivier Gourinchas said most indicators point to a soft landing for the global economy and the IMF now expects “less economic scarring from the pandemic”. He noted that markets had reacted exuberantly in recent weeks to the prospect of central banks lowering interest rates soon.

However, the IMF says global growth will moderate over the next five years to its lowest level in decades. It projects 3.2 percent global growth in 2024 and 2025, the same pace as 2023, with still-high borrowing costs, the withdrawal of fiscal support and weak productivity growth weighing economic activity down.

Australia is expected to underperform other advanced economies, especially the United States, this year but will surge beyond them from 2025. The IMF predicts annual gross domestic product (GDP) growth of 1.5 percent in Australia in 2024, which is well below our long-term pre-pandemic average of 2.5 percent. The US is expected to book above-average growth of 2.7 percent in 2024 and the world’s advanced economies are tipped to average 1.7 percent growth.

Australian economic growth will then move above other advanced economies and maintain upward momentum through til 2029. The IMF predicts 2 percent GDP growth for Australia in 2025 and 2.3 percent in 2029. For the US, the IMF expects 1.9 percent growth in 2025 and 2.1 percent in 2029. For the advanced economies in aggregate, the IMF forecasts 1.8 percent growth in 2025 and 1.7 percent in 2029.

The IMF said higher interest rates had had less effect on the US economy compared to Australia because most US mortgages are on long-term fixed rates and household debt has been lower since the global financial crisis. In Australia, most loans are on variable rates and therefore immediately impacted by every rate rise, household debt is high, and housing supply is restricted.

“The exceptional recent performance of the United States is certainly impressive and a major driver of global growth, but it reflects strong demand factors as well, including a fiscal stance that is out of line with long-term fiscal sustainability,” said Mr Gourinchas.

An example of unusual fiscal policy is the Inflation Reduction Act, which includes US$369 billion in new spending to encourage green energy investment. “This raises short-term risks to the disinflation process, as well as longer-term fiscal and financial stability risks for the global economy since it risks pushing up global funding costs,” he said.

While things are going well now, Mr Gourinchas said risks to global economic progress remain.

“On the downside, new price spikes stemming from geopolitical tensions, including those from the war in Ukraine and the conflict in Gaza and Israel, could, along with persistent core inflation where labour markets are still tight, raise interest rate expectations and reduce asset prices. A divergence in disinflation speeds among major economies could also cause currency movements that put financial sectors under pressure.”

Mr Gourinchas said growth in China could falter, hurting trading partners, without a comprehensive response to its property sector downturn. “Domestic demand will remain lacklustre for some time unless strong measures and reforms address the root cause. Public debt dynamics are also of concern, especially if the property crisis morphs into a local public finance crisis.”

He also noted that weak productivity growth remains a challenge for the whole world and “much hope rests on artificial intelligence delivering strong productivity gains in the medium term”.

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