‘Envy of the World’—U.S. Economy Expected to Keep Powering Higher

It has been two years since forecasters felt this good about the economic outlook.

In the latest quarterly survey by The Wall Street Journal, business and academic economists lowered the chances of a recession within the next year to 29% from 39% in the January survey . That was the lowest probability since April 2022, when the chances of a recession were set at 28%.

Economists, in fact, don’t think the economy will get even close to a recession. In January, they on average forecast sub-1% growth in each of the first three quarters of this year. Now, they expect growth to bottom out this year at an inflation-adjusted 1.4% in the third quarter.

Just 10% of survey respondents think the economy will experience at least one quarter of negative growth over the next 12 months, down from 33% in January.

The Wall Street Journal survey was conducted from April 5 to 9, just before the release of March consumer-price index data showing inflation running hotter than economists had anticipated.

The U.S. economy has far outperformed expectations over the past year and a half. Instead of stumbling under the weight of the Federal Reserve’s most aggressive interest-rate-raising campaign in four decades, it has continued expanding at a robust clip.

Few think that the economy can do quite as well as last year’s 3.1% growth, as measured by the seasonally adjusted fourth-quarter change from a year earlier. That figure might have been boosted by one-time factors such as federal infrastructure and semiconductor legislation and an uptick in immigration , which also might not last.

Still, economists have had to rethink forecasts for a major slowdown as more time has passed and one still doesn’t seem imminent. Economists on average think the economy grew at a 2.2% rate in the first three months of the year, up from a 0.9% forecast in January.

“The U.S. economy is performing very well,” EconForecaster economist James Smith said in the survey. “We’re truly the envy of the world.”

Much has changed since economists were last this optimistic. Two years ago, the Fed’s benchmark federal-funds rate was set between 0.25% and 0.5%. Inflation was high but economists still generally thought that it could come down without too much help from the Fed. They forecast steady growth and the midpoint of the range for the fed-funds rate topping out at just above 2.5%.

Now, the fed-funds rate is sitting between 5.25% and 5.5%, and economists don’t see a bunch of cuts coming soon. Many analysts trimmed their rate-cut forecasts after last week’s hot inflation report. But even before the report, survey respondents predicted that rates would end the year at 4.67%, implying three cuts. In January, their responses suggested that they thought four or five cuts were likely.

Economists now think the economy can withstand higher rates than they did not long ago.

They expect the 10-year Treasury yield—a key borrowing benchmark that was around 4.4% at the time of the survey—to end 2024 at 3.97%. Looking further into the future, they expect the yield to end 2026 at 3.78%. That is slightly above even their forecast last October, when the yield was higher than it is now.

Many economists have long thought that the economy can handle higher interest rates when it is capable of growing faster, and particularly when worker productivity has increased.

To that end, economists expect the Labor Department’s measure of productivity to rise at an annual rate of 1.9% over the next decade. That matches the annual increase in productivity over the last 40 years. But it is above the 1.2% pace of the 2010s, when the 10-year Treasury yield was typically stuck between 1.5% and 2.5%.

Some economists are now enthusiastic about the economy’s longer-term potential.

“We think that the American economy has entered a virtuous cycle where strong productivity results in growth above the long-term trend, inflation between 2% and 2.5% and an unemployment rate between 3.5% and 4%,” RSM US chief economist Joe Brusuelas said in the survey.

Many aren’t quite as optimistic. One downside of a better growth outlook is that a stronger economy could make it harder for inflation to fall all the way back to the Fed’s 2% target.

An inflation gauge that is closely watched by the Fed, the core personal-consumption expenditures price index, was 2.8% in February, its most recent reading. Economists now expect it to end the year at 2.5%, after having forecast 2.3% in January.

Economists, on average, believe that core PCE inflation will fall to 2.1% by the end of next year without a recession. However, their projections might already have ticked higher after last week’s price data, and some continue to worry that the Fed’s efforts to control inflation still present a major threat to the economy.

“The risks are clearly skewed toward more hawkish Fed outcomes, which could drag on our growth forecasts,” Deutsche Bank economists Brett Ryan and Matthew Luzzetti said in the survey.

The Wall Street Journal survey was answered by 69 economists. Not every economist responded to every question.

For decades, the world’s computing power has quietly expanded at an astonishing pace.

From the first transistor developed at Bell Labs in 1947 to modern processors containing billions and even trillions of transistors, each generation of technology has been faster, smaller and more powerful than the last.

But according to quantum physicist and technology entrepreneur David Reilly, that era of effortless progress is beginning to slow.

Reilly, CEO of Sydney-based Emergence Quantum and Professor of Physics at the University of Sydney, says the computing infrastructure underpinning modern economies is approaching fundamental physical limits.

And that could have enormous implications for finance, artificial intelligence and global investment.

Speaking at an industry event organised by Kanebridge International, Reilly said many critical parts of modern society depend on computing and the infrastructure used to process information.

The slowdown behind the tech boom

For years, the technology industry relied on a steady improvement known as Moore’s Law, where the number of transistors on a chip doubled roughly every two years.

More transistors meant more computing power, allowing faster software, smarter devices and ever-larger data systems.

Today, however, those gains are slowing.

“It feels to me very innate that I’m going to just find that next year there’s going to be another breakthrough,” Reilly said.

“But if you look at the data…there’s a slowing down, a roll off in performance that started some 10, 20 years ago.”

Rather than making chips dramatically faster, manufacturers are now largely increasing computing capacity by packing more transistors onto each processor.

The approach works, but it comes with growing complexity, higher costs and increasing energy demands.

The brute-force race for AI

That challenge is already visible in the massive data centres being built to support artificial intelligence.

In the race to dominate AI, companies are constructing vast computing facilities that consume huge amounts of electricity and water. Reilly described this expansion as a “brute force” approach driven by the global competition to develop advanced AI systems.

Yet the demand for computing power continues to accelerate.

Artificial intelligence, advanced robotics, healthcare research, pharmaceuticals and cybersecurity all require far more processing capacity than today’s systems can easily deliver.

The question now facing the technology sector is whether traditional computing can keep up.

Enter quantum computing

That is where quantum computing enters the conversation.

Unlike conventional computers, which process information using binary switches that represent ones and zeros, quantum computers exploit the unusual behaviour of particles at the atomic scale.

Reilly describes them as a fundamentally different type of machine.

“So a quantum computer is a wave computer,” he said.

Instead of processing information through simple on-off switches, quantum systems can use wave-like properties of particles to process many possible outcomes simultaneously.

Those waves can interact in complex ways, reinforcing correct solutions while cancelling out incorrect ones. In theory, this allows quantum systems to tackle certain types of problems dramatically faster than classical computers.

What it could mean for finance

The concept may sound abstract, but its potential applications are significant.

Quantum computers are expected to transform areas such as materials science, chemical modelling and pharmaceutical development.

They could also help solve complex optimisation problems in logistics, finance and risk management.

For financial institutions in particular, the technology could offer new tools for detecting fraud, analysing market behaviour and optimising portfolios.

But the shift will not happen overnight.

“One message to take away is that quantum is not going to suddenly solve all of your problems,” Reilly said.

Instead, he said quantum systems will likely complement existing computing technologies as part of a broader and more diverse computing ecosystem.

Why data centres may soon “go cold”

One key change already emerging is how computing systems are physically designed.

Many next-generation technologies, including quantum processors, operate far more efficiently at extremely low temperatures. As a result, future data centres may rely heavily on cryogenic cooling systems to manage heat and energy consumption.

Reilly believes that the shift will gradually reshape the computing industry.

“Over the next five years, you’re going to see data centres go cold,” he said.

“And as that happens, they almost drag with them new compute paradigms.”

Emergence Quantum, the company he co-founded, is focused on developing technologies to support that transition, including cryogenic electronics and integrated hardware platforms designed for quantum computing and energy-efficient systems.

A new technological era

For investors and businesses, the technology remains in its early stages. But the scale of global interest is growing rapidly.

Governments, research institutions and technology companies are investing heavily in quantum research, betting it could become a foundational technology for the next generation of computing.

For Reilly, the moment feels similar to earlier technological turning points.

In the 19th century, new discoveries in thermodynamics helped drive the development of steam engines and the Industrial Revolution. In the 20th century, advances in electromagnetism led to radio, television and eventually the internet.

Quantum physics, he suggests, could represent the next chapter in that story.

“Today we have, as a society, in our hands new physics that we’re just beginning to figure out what to do with,” Reilly said.

“But I think it’s an exciting time to be alive and watch what happens over the coming decades.”