Where Do Economists Think We’re Headed? These Are Their Predictions

The Wall Street Journal’s latest quarterly survey of business and academic economists shows forecasters remain firmly optimistic about the economic outlook, despite some hints of weakness in recent data.

The following graphics show what economists are thinking now and how their forecasts—and the economy—have evolved over recent months and years. After looking at the charts, see if you can guess how economists answered questions about when the Federal Reserve will cut interest rates and how the election could affect the deficit, inflation and interest rates.

Welcoming normalisation

For about two years, economists consistently underestimated the strength of the U.S. economy, forecasting the economy would grow slower than it did.

That changed recently when growth was lower than expected in the first three months of the year. Still, most economists believe that a slowdown was inevitable after a period of rapid expansion and too-high inflation. The economy, they argue, is normalising rather than deteriorating.

Seeing no acceleration in unemployment

In another shift, the unemployment rate has also recently climbed a little faster than economists were expecting—rising to 4.1% in June from 3.4% in early 2023.

Demand for workers seems to be cooling even as job growth remains solid, thanks in part to increased immigration. Again, economists are optimistic that this represents a return to a more stable environment.

Slow but steady progress on inflation

The Journal’s latest survey of economists concluded July 9, two days before consumer-price index data showed inflation easing substantially in June. That may partially explain why inflation forecasts nudged a bit higher since the last survey in early April.

The difference, though, is marginal. Current forecasts—like previous forecasts—show strong confidence that the Fed will succeed in bringing inflation down to its 2% target. The question has been what it would take to get there.

Higher-for-longer interest rates

The recent uptick in the unemployment rate and decline in inflation has rekindled hopes among investors that the Fed could cut short-term interest rates as many as three times this year—starting most likely in September.

Still, the recent good news on inflation has only come after a series of disappointing readings, including one that came out just after the April survey was conducted. As a result, the latest survey of economists shows a slightly higher path for rates.

Economists’ optimistic outlook can be seen in the dispersion of rate forecasts. The Fed would likely cut rates more aggressively if it were worried about a recession . However, 22% of survey respondents think that rates will fall below 3.75% by June 2025—down slightly from 25% of respondents in April.

Test yourself against the economists

We asked survey respondents a number of questions on the economy. Select an answer to see how economists responded.

In their own words

Here’s what some of the survey respondents said about the economy.

Who participates

The Wall Street survey has been publishing consensus forecasts from a panel of academic, business and financial economists for nearly 40 years. Not every economist answers every question.

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