Eurozone Slides Into Recession as Inflation Hurts Consumption

The eurozone has slipped into recession as Germany, its largest economy, wobbled, suggesting that the impact of Russia’s war in Ukraine may have been deeper than expected earlier this year.

While the U.S. economy has so far brushed aside higher borrowing rates and continues to grow thanks to robust consumption, employment and an extended market rally, Europe is lagging ever further behind, stuck in the economic equivalent of long Covid. While the U.S. economy is now 5.4% larger than it was before the Covid-19 pandemic struck, the eurozone economy is just 2.2% bigger.

Inflation driven by a spike in energy costs and stubbornly high food prices has softened in Europe recently but remains much higher than policy makers would like and is affecting consumption negatively.

The weakness in Germany is a particular concern. In past decades, the country’s economy often managed to recover rapidly from economic shocks thanks to the strength of its highly competitive exporters.

But global trade has suffered under the Covid-19 pandemic and mounting geopolitical tensions, and it may not offer the same degree of support this time. Factory output in the country showed a steep drop in March. And the continuing war in Ukraine, a close neighbour, is another major source of uncertainty for the region.

Because of its size, the German economy on its own can drag the eurozone up or down. The eurozone’s slide into recession at the start of the year came in spite of growth in France, Italy and Spain, its other large economies.

Economists think all this points to a slow and protracted recovery for the continent later this year, where consumers and businesses are also feeling the drag from higher borrowing costs as the European Central Bank continues to raise interest rates to fight inflation. The eurozone’s slide into recession wasn’t so dramatic as to trigger a pause in the ECB’s rate-raising campaign, according to most analysts.

The European Union’s statistics agency said Thursday the combined gross domestic product of the countries that share the euro fell at an annualised 0.4% during the three months through March, having also declined in the final three months of last year.

Eurostat had previously estimated that the currency area’s economy grew slightly in the first quarter, but the sizeable change to the data from Germany and weakness in Ireland and Finland pushed it into contraction. This left the region with two consecutive quarters of shrinking output, matching the official definition of an economic recession.

Economists expect growth to resume in the three months through June as falling energy bills ease the pressure on household budgets, but any rebound is likely to be anaemic. The Organization for Economic Cooperation and Development on Wednesday said it expected the eurozone’s economy to grow 0.9% this year, roughly half as much as the U.S. economy.

The main difference between the eurozone and the U.S. is consumer spending. Americans are spending freely on the activities they skipped during pandemic lockdowns, such as travel, concerts and dining out. Unlike Europeans, they haven’t had to cut their spending on goods to be able to do so. In Europe, household spending fell in both the final quarter of last year, and the first quarter of 2023. Imports also fell sharply in both quarters, a sign that weakness in the eurozone is affecting businesses in other parts of the world.

One reason for the growing trans-Atlantic economic gap is the amount of savings Americans accumulated during the pandemic. Oxford Economics estimates that while excess savings in the U.S. stood at around 8.3% of annual economic output at the end of 2022, in the eurozone the equivalent was just over 5%. Americans have also been more willing to draw on those savings, with surveys showing Europeans are conscious of the uncertainties flowing from the war in Ukraine.

Back in Europe, while energy prices have normalised from their 2022 peaks, food prices have continued to rise at a rapid pace, weakening household spending on other goods and services. U.S. food prices have been rising half as quickly as their European equivalents so far this year.

The European Central Bank’s series of rate increases, which started in July last year, have now worked their way through the currency area’s financial system. The drag on growth from that source is likely to build during coming months, with the ECB signalling that it intends to raise its key interest rate for an eighth straight meeting next week.

“A peak in underlying inflation wouldn’t be sufficient to declare victory: We need to see convincing evidence that inflation returns to our 2% target in a sustained and timely manner,” ECB policy maker Isabel Schnabel said Wednesday. “We aren’t at that point yet.”

The OECD said it expects eurozone inflation to fall to 5.8% this year from 8.4% in 2022, but remain well above the ECB’s target at 3.2% in 2024.

One reason for the eurozone’s slide into recession is that Ireland—long the currency area’s fastest-growing economy—experienced a 44.7% decline in factory output during March, likely driven by U.S. pharmaceutical companies that operate in the country. That led to a 17.3% annualized fall in the country’s GDP during the first quarter.

Ireland’s statistics office hasn’t offered a reason for that drop in production, but figures it released Wednesday showed a rebound of 70.7% in April, suggesting the first-quarter contraction is unlikely to be sustained.

The eurozone’s poor economic performance so far this year partly reflects the costs of Moscow’s invasion of Ukraine last year. The Russian economy contracted 2% last year and the OECD expects it to shrink a further 1.5% this year and 0.4% in 2024. Ukraine’s economy shrank by a third in 2022, and is likely to have suffered further damage following the destruction of a dam and hydroelectric plant in the country’s south this week.

In the U.S., unlike in Europe, a weakening of the jobs market is required before the National Bureau of Economic Research, an academic group, declares a recession. That has yet to happen in the eurozone, with employment increasing 0.6% during the first quarter.

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