Sweden’s Central Bank Cuts Key Rate and Sees Two or Three More Cuts This Year

Sweden’s central bank cut its key interest rate for the second time this year and indicated it is likely to lower borrowing costs again as a faltering economy threatens to push inflation further below its target.

The Riksbank cut its key rate to 3.5% from 3.75%, in line with a poll of economists conducted by The Wall Street Journal ahead of the decision.

“If the inflation outlook remains the same, the policy rate can be cut two or three more times this year, which is somewhat faster than the Executive Board assessed in June,” the Riksbank said.

At its last meeting in June, the central bank suggested it could cut the policy rate two or three times during the second half of the year as long as the outlook for inflation holds.

After peaking at over 10% at the end of 2022, the pace of inflation in Sweden has slowed sharply, with the bank’s target measure dropping below the 2% target in both June and July. At the same time, the economy contracted by 0.8% in the three months through June, while household consumption remains weak and the labor market continues to deteriorate.

In its statement Tuesday, the Riksbank said inflation is now stabilising close to the target and the risk of inflation becoming too high again has declined significantly. At the same time, it said wage increases are moderate, while the growth outlook in Sweden and abroad is somewhat weaker than expected.

“The overall picture of the economy is worrisome and warrants more easing,” says Bartosz Sawicki, market analyst at Conotoxia. “Consumption remains in the doldrums, and GDP growth is set to account for about 0.5% year-on-year in 2024.”

Policymakers have been especially concerned about lowering borrowing costs too quickly over concerns that it would weaken the Swedish currency further and contribute to a bounce in inflation, but those risks are also dissipating as interest rates have declined abroad, easing depreciatory pressure on the krona.

Conotoxia expects the krona will continue to recover in the remainder of the year on the back of improving global risk sentiment. “Hefty market pricing of looming rate cuts should limit the downside for the currency,” Sawicki says.

The European Central Bank began its easing cycle in June, and although it took a wait-and-see approach at its most recent meeting, it kept the door open for further rate cuts this year.

In the U.S., the Federal Reserve has so far held off making its first move and last month held interest rates steady in a range between 5.25% and 5.5% for an eighth consecutive meeting.

However, weaker-than-forecast U.S. non farm payroll data earlier this month sparked recession concerns and prompted markets to ramp up bets for interest rate cuts. These rate cut expectations have since been trimmed following stronger data, but a September cut is largely expected by markets and Fed Chair Jerome Powell ’s speech at the Jackson Hole Symposium on Friday will be closely watched for clues.

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