South Doing All the Work in Europe’s Upside-Down Recovery

Europe’s economy has a north-south divide—and now it’s the poorer south that is powering the region’s return to growth.

Southern Europe, which for decades has had lower growth, productivity and wealth than the north, powered an upside-down recovery on the continent at the start of the year. Buoyant tourism revenue around the Mediterranean helped to offset sluggishness in Europe’s manufacturing heartlands.

The south’s transformation from laggard into growth engine reflects both a rapid rebound in visitor numbers from the collapse during the Covid-19 pandemic and a series of blows the continent’s large manufacturing sector has suffered, from surging energy prices to trade conflicts.

Now growth in the south is more than offsetting the north’s manufacturing malaise: As a whole, the eurozone economy grew at an annualised rate of 1.3% in the first quarter, ending nearly 18 months of economic stagnation in a sign that the currency area is recovering from the damage done by Russia’s invasion of Ukraine.

It was the eurozone’s strongest performance since the third quarter of 2022, and approached the U.S. economy’s 1.6% first-quarter growth rate, which was a slowdown from a racy pace of 3.4% at the end of last year.

In the 2010s, Germany helped to drag the continent out of its debt crisis thanks to strong exports of cars and capital goods. Between 2021 and 2023, Italy, Spain, Greece and Portugal contributed between a quarter and half of the European Union’s annual growth, according to a report last year by French credit insurer Coface —a trend now confirmed and amplified in the latest data.

In the first quarter, Spain was the fastest-growing of the big eurozone economies. It and Portugal recorded growth of 0.7% in the three months through the end of March from the previous quarter, while Italy’s economy grew by 0.3%. France and Germany both grew by 0.2%, the latter rebounding from a 0.5% quarter-on-quarter contraction at the end of last year.

This means Germany’s economy has grown by 0.3% in total since the end of 2019, compared with 8.7% for the U.S., 4.6% for Italy and 2.2% for France, according to UniCredit data.

In Spain, strong growth “seems to have been entirely due to strong tourism numbers,” said Jack Allen-Reynolds, an economist with Capital Economics. Tourism accounts for around 10% of the economies of Spain, Italy, Greece and Portugal.

The euro rose by about a quarter-cent against the dollar, to $1.0725, after the latest growth and inflation data were published.

The recovery comes as the European Central Bank signals it is preparing to reduce interest rates in June after a historic run of increases since mid-2022 that took it the key rate to 4%. Inflation in the eurozone remained at 2.4% in April, while underlying inflation cooled slightly, from 2.9% to 2.7%, according to separate data published Tuesday.

“The ECB hawks will point to the strong GDP number as [an] argument that ECB can take its rates lower gradually,” said Kamil Kovar, senior economist at Moody’s Analytics.

The eurozone economy has flatlined since late 2022 as Russia’s attack on its neighbor sent food and energy prices soaring in Europe and sapped business and household confidence. Gross domestic product fell in both the third and fourth quarters of last year, meeting a definition of recession widely used in Europe, but not in the U.S.

Southern Europe is one of only a handful of regions where international tourist arrivals returned to pre pandemic levels last year, according to United Nations data. Tourism revenue across the EU was one-quarter higher in the three months through the end of last June than in the same period in 2019, according to Coface data.

The recovery in international tourism was “notably driven by the arrival of many Americans who…were able to take advantage of favorable exchange rates,” Coface analysts wrote. “On the other hand, the end of the zero-Covid policy in China has initiated a gradual return of Chinese tourists, although remaining below 2019 levels.”

In Portugal, the number of foreign tourists hit a record of more than 18 million last year, up 11% compared with the prepandemic year of 2019, official data showed in January. American tourists in particular have returned to Europe in force.

Tourist numbers in Asia Pacific and the Americas continued to lag 2019 levels by 35% and 10% last year, respectively, the data show.

It is unclear how much further the tourism boom can run, but economists expect the region’s economic recovery to strengthen later this year as cooling inflation boosts household spending power and lower energy costs aid factory output.

Recent surveys point to an improved outlook for growth. Consumer confidence has risen to its highest level in two years, and a leading business-sentiment index has shown steady improvement from the start of 2024.

“We think that the combination of a robust labor market, comparatively strong wage hikes and lower inflation compared with last year will finally lead to a moderate recovery in consumer spending in the next few quarters,” said Andreas Rees , an economist with UniCredit in Frankfurt.

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