America’s Hot Labour Market Fuels Job Growth in Unexpected Places

The U.S. labor market is showing surprising pockets of strength as companies directly in the crosshairs of rising interest rates hold on to or add workers.

Builders, architects and engineers, real-estate agents, vehicle manufacturers and other businesses typically sensitive to higher borrowing costs have increased employment during the opening months of 2023.

Those job gains, along with much larger increases in industries still trying to claw back workers lost during the pandemic, have added up to almost 1.6 million jobs in the first five months of 2023, outpacing economists’ forecasts.

The Labor Department will release June jobs figures on Friday.

“The labor market has continually surprised,” said Daniel Zhao, lead economist for the research team at Glassdoor, an online employment site.

Robust hiring defies theFederal Reserve

The strong job gains come despite companies and consumers facing higher borrowing costs.

The Federal Reserve raised interest rates to a 16-year high in 2023. And it is expected to increase them further later this year as part of a campaign to slow the economy, cool the labor market and tamp down inflation that is running too hot.

Some industries are defying the Fed’s efforts.

Construction employment has been one of the biggest surprises in recent months. In the past, builders have been hit especially hard when interest rates rose.

But employment in residential construction has merely levelled off in 2023, while industrial and infrastructure businesses gallop ahead.

Projects related to electric-vehicle batteries and semiconductors are driving much of the growth, spurred in part by the Chips and Science Act of 2022, which set aside $52.7 billion for financial assistance for the construction and expansion of semiconductor manufacturing facilities and other programs.

“Many of these were announced or broke ground before the Chips Act, but that added fuel to the bonfire,” said Kenneth Simonson, chief economist at Associated General Contractors of America.

Architectural and engineering firms have also added workers. The real-estate industry hasn’t shed any jobs this year despite a slowdown in single-family home sales.

American factories also often get caught in the Fed’s crosshairs when costs go up for auto loans and other personal loans. But auto and parts manufacturers have added almost 20,000 workers so far in 2023, helping to offset losses at makers of furniture, plastics and paper products.

According to Commerce Department data, car sales are still below pre pandemic levels, held back by limited supplies and high prices. But figures from the Fed show factories are trying to catch up. Auto and light-truck assemblies were above an annual pace of 11 million in April and May, the first time that number has been topped in back-to-back months since 2018.

Some employers stabilise, others heat up

The story is similar in other corners of the economy. Home-improvement and furniture stores have shed workers, for example, but department stores and warehouse clubs have added them. The final result: Overall retail employment has grown slightly so far this year.

The financial sector has also posted growth despite banking sector turmoil, with gains at insurers, brokers and financial advisers outpacing losses in banking.

Other sectors aren’t merely holding up—they are rapidly hiring. Government, leisure and hospitality and healthcare account for about 60% of all employment gains so far in 2023. The first two categories are still playing Covid-19 catch-up: Employment at restaurants, hotels, schools and in other municipal services are still below pre pandemic levels.

The picture isn’t entirely rosy.

Tech layoffs are well documented. Some economists worry that residential construction employment could be headed for a fall as a big run-up in apartment projects leads to an oversupply of units and signs of falling rents.

The number of hours people are spending on the job is declining, a possible sign that employers have less work for them. Wage growth remains strong but has eased, suggesting that demand for workers is cooling. And job growth has become more concentrated in fewer industries, possibly indicating that the breadth of the economic expansion is also narrowing.

“There are signals on the periphery that the labor market is slowing,” said Brett Ryan, senior U.S. economist at Deutsche Bank.

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