Fed Cuts Rates Again, This Time by a Quarter Point

US: The Federal Reserve approved a quarter-point interest-rate cut Thursday, the latest step to prevent large rate increases of the prior 2½ years from weakening the labour market as inflation eases.

The decision, coming the same week as the election of Donald Trump to a second presidential term, followed an initial cut of a half-point in September and will bring the benchmark federal-funds rate to a range between 4.5% and 4.75%. All 12 Fed voters backed the cut.

Officials have said those moves are warranted because they are more confident that inflation will return to the central bank’s target and because they believe rates are still high enough, even with the latest cuts, to dampen economic activity.

The move was expected. Stocks and Treasury yields were steady after the announcement.

“We are committed to maintaining our economy’s strength,” Fed Chair Jerome Powell said at a news conference. He said officials are confident that with an “appropriate recalibration of our policy stance,” inflation can continue heading lower with a solid economy.

Trump’s election victory this week has the potential to reshape the economic outlook, with presumed GOP majorities on both sides of Capitol Hill enabling a broad shift on taxes, spending, immigration and trade. Economists are divided over whether the mix of policies will boost or weaken growth and drive up prices.

The shift in the outlook, in turn, has fuelled questions on Wall Street over whether the Fed will alter its earlier expectation that rates could be steadily dialled lower over the coming year or two.

Powell said it was too soon to say how the next administration’s policies would reshape the economic outlook.

“We don’t guess, we don’t speculate, we don’t assume” what policies will get put into place, Powell said. “In the near term, the election will have no effects on our policy decisions.”

Powell also said he had no intention of leaving the Fed before his four-year term as chair expires in May 2026. “Not permitted under the law,” Powell said when asked if he believed the president could remove him or other Fed personnel from their positions before their term expires.

Since the Fed cut rates in September, longer-dated bond yields have climbed notably, meaning the cost to borrow for a mortgage or car loan has gone up. Yields have increased in large part because better economic data has led investors to reduce their worries about a recession, which could have triggered larger rate cuts.

But some analysts think the bond-market selloff may also reflect concerns by some investors about higher deficits or inflation in a second Trump administration.

Either way, the market has generated an unusual result: Borrowing costs rose after the Fed cut rates. The average 30-year mortgage rate has jumped since mid-September, to 6.8% this week from 6.1%, according to Freddie Mac.

Over a similar time frame, investors in interest-rate futures markets have steadily reduced their expectations over how much the Fed will cut rates over the next year or so. They now see the Fed cutting rates to around 3.6% by 2026, up from an estimated trough of 2.8% in September, according to Citi.

Officials are trying to bring rates back to a more “normal” or “neutral” setting that neither spurs nor slows growth. But they don’t know what constitutes a normal rate. Policies that boost economic activity or prices could also lead officials to conclude that they should maintain a moderately restrictive rate stance. That means they would hold rates somewhat higher than a normal or neutral level.

Before the 2008-09 financial crisis, many thought a neutral rate might be around 4%, but after the crisis and an extremely sluggish recovery, economists and Fed officials concluded the neutral rate might be closer to 2%.

Interest-rate projections that officials submitted in September show most of them expected that if the economy expanded solidly with inflation continuing to cool , they could cut rates to around 3.5% next year.

Inflation based on the Fed’s preferred index was 2.1% in September, from a year earlier. A separate measure of so-called core inflation that strips out volatile food and energy prices was 2.7%. The Fed targets 2% inflation over time.

Because officials don’t have much conviction over where the neutral rate sits, they are likely to be guided by how the economy performs in the months ahead. If inflation keeps slowing and the demand for workers looks soft, officials could conclude it makes sense to continue cutting rates along the path they envisioned in September.

“We’re going to move carefully as this goes on so we can increase the chances that we get it right,” Powell said. “We’re trying to steer between the risk of moving too quicky…or moving too slowly. We’re trying to be on a middle path.”

If inflation progress stalls or ebullient financial markets raise concerns that inflation might get stuck above their target, officials might face more reservations around continuing to cut rates at a steady, meeting-after-meeting clip.

The most immediate focus is whether the Fed will cut again at its upcoming meeting in December. In September, 19 participants were about evenly divided over whether to cut rates one or two more times this year. Nine of them penciled in no more than one cut in either November or December, while 10 penciled in two cuts.

“There’s a lot to learn between now and the December meeting,” said Diane Swonk, chief U.S. economist at KPMG. “They can’t leave the door wide open, but they can’t close the door either.”

Powell said Thursday it was too soon to rule anything “out or in” at that meeting. Slowing down the pace of rate cuts is “something we’re just beginning to think about,” he said. “We’re on a path to a more neutral stance. That has not changed at all since September. We’re just going to have to see where the data lead us.”

Even before the election result, recent data suggested that cutting again would be a finely balanced decision because inflation looks like it might end the year slightly above officials’ projection, while the unemployment rate has edged lower recently, said Matthew Luzzetti, chief U.S. economist at Deutsche Bank.

The election result— which sent stock markets to new highs while raising the prospect of stronger growth, higher inflation and better labour-market outcomes—boosted the odds that the Fed forgoes a cut next month, he said.

“Those could present a strong case from a risk-management perspective to potentially skip that meeting,” said Luzzetti.

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