Stocks Are at Record Highs, but Things Will Only Get Harder From Here

Wall Street entered 2024 betting the year would go perfectly, but an up-and-down start for stocks and bonds suggests the going won’t be easy.

Stocks have climbed to records, driven by cooling inflation that has spurred investors to anticipate as many as six interest-rate cuts. Falling rates often boost share prices by reducing the relative appeal of bonds and making it cheaper for companies and consumers to borrow, lifting corporate profits.

But despite Friday’s record close in the S&P 500, the rally in major indexes has stalled in recent weeks—the benchmark index is up less than 2% from where it was a month ago—while the labour market and economy show few signs of slowing. Bond yields have ticked up in the new year after falling sharply at the end of 2023.

This dynamic is prompting some analysts and portfolio managers to warn that further stock gains might be halting because the rate cuts that are widely expected to power the market higher might not arrive as quickly as bullish investors had wagered.

“Clearly, the consensus is that inflation is under control and we’re heading for a soft landing,” said Doug Fincher, a portfolio manager at New York City-based hedge fund Ionic Capital Management. “It’s certainly possible—but a lot of that is priced in.”

The S&P 500 is up 1.5% this year, but analysts see more signs of caution under the hood.

Investors have retreated this year from shares of banks, smaller companies and real-estate firms that posted big gains during the fourth-quarter rally, which was kicked off by investor belief that the Federal Reserve had pivoted in November to a rate-cutting stance. Bond yields, which rise when prices fall, have climbed as traders have pared back bets that Fed officials will start cutting rates in March.

There is a greater than 50% chance the central bank keeps rates where they are at its March meeting, according to the CME FedWatch tool. At the start of the year, traders expected rates to end December around 3.85%. Now they expect closer to 4.1%, per futures contracts tied to the fed-funds rate.

Behind those moves: data showing persistent economic strength that could lift inflation. Treasury yields, a benchmark for borrowing costs, surged last week after Fed governor Christopher Waller cautioned against rushing to cut rates. Yields’ climb continued after data on retail sales, housing starts and unemployment filings all beat economists’ projections. The 10-year U.S. Treasury yield finished the week at 4.145% after starting the year at 3.860%.

Traders are now betting inflation will average above 2.4% over the next five years, the highest level since November, based on swap contracts tied to the consumer-price index.

The Russell 2000 index of small-cap stocks—which gained 22% in the last two months of the year—is down 4.1% in January. Speculative stocks have taken a beating; both Rivian and Coinbase have lost more than 25% after rising during the Fed-pivot rally. A KBW index of regional banks, which added 31% in November and December, has slid more than 3%. Shares of real-estate and utility companies are down even more, also having surged in those months.

The Bloomberg Barclays aggregate bond index, which soared in the final months of last year, is down 1.4% to start 2024.

“People tried to front-run the rate cuts by buying long-duration assets, like tech stocks and bonds,” said Nancy Davis, founder of asset management firm Quadratic Capital Management. “What if the Fed doesn’t cut that much or that quickly? Those people get hung out to dry.”

The Atlanta Fed’s GDPNow model shows the economy likely grew at a 2.4% inflation-adjusted pace in the fourth quarter. That is nowhere near the conditions that have historically necessitated rates coming down 1.5 percentage points—which traders were betting on heading into 2024.

The extra compensation investors receive for buying high-quality corporate bonds over Treasurys is slimmer than before the Fed began raising rates, now around a percentage point. Credit spreads on junk bonds are similarly tight, signalling little concern over company defaults. Leveraged loans—used to fund private-equity buyouts or finance poorly rated companies—are in such high demand that companies are slashing their borrowing costs.

Some investors believe a strong economy could still boost stocks.

Sophia Drossos, an economist and strategist at Stamford, Conn.-based hedge fund Point72, expects robust consumer spending—and a proactive Fed—to help avert a recession and prop up corporate profits. The strong underlying U.S. economy “means risky assets can benefit,” Drossos said.

Not everyone is optimistic. Some fear new sources of inflationary pressure, such as trade disruptions from the Houthi attacks in the Red Sea and a drought in the Panama Canal.

And technical factors also could undermine the market gains. Interest-rate bets often represent investors protecting their portfolios against the risk of a recession or crisis that requires sudden rate cuts. Without a major slowdown, investors might remove those hedges, raising market rates. That could tighten financial conditions and disrupt stocks without any fundamental changes to the economic outlook.

But considering the strength of the economy, many doubt rate cuts will be as aggressive as investors hoped just a few weeks ago, threatening one of the rally’s biggest pillars of support.

“You’d think the wheels would have to come off to see that number of cuts,” said Fincher.

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