Rich Countries Are Becoming Addicted to Cheap Labour
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Rich Countries Are Becoming Addicted to Cheap Labour

Businesses are relying more on migrant workers as labor shortages persist, but economists warn of long-term dangers

By TOM FAIRLESS
Mon, Mar 4, 2024 8:40amGrey Clock 7 min

As migration hits record levels worldwide, a debate is building among economists over whether some industries are becoming too dependent on foreign labor.

Many business owners say that bringing in low-skilled foreign workers has become essential, as local populations age and labor forces shrink. In rural Wisconsin, John Rosenow says it is impossible to find locals to work on his 1,000-acre dairy farm. He relies on 13 Mexican immigrants, up from eight to 10 a decade ago. That has enabled him to avoid making costly investments in robots that can help milk cows, as some other dairy farmers have.

“We get really good people,” Rosenow says. With immigrant labor, “I’m pretty sure if I wanted to double employment, I could get it done within a week.”

To some economists, however, dependence on imported workers is approaching unhealthy levels in some places, stifling productivity growth and helping businesses delay the search for more sustainable solutions to labour shortages.

Those solutions could include bigger investments in automation, or more radical restructurings such as business closures, which are painful but may be necessary long-term, these economists say.

“Once industry is organised in a certain way and the structure encourages employers to recruit migrants, it can be very hard to turn back,” said Martin Ruhs , a professor of migration studies in Florence, Italy. “In some cases, policymakers should ask, does it make sense?” said Ruhs, who is also a former member of the U.K. Migration Advisory Committee, which advises the British government on migration policy.

The debate is likely to heat up further as Western societies teeter closer to a demographic abyss . For the first time since World War II, the working-age population is shrinking across advanced economies. The European Union’s working-age population will shrink by one-fifth through 2050, according to a recent report by German insurer Allianz .

There are ways to offset that trend, such as encouraging older workers to delay retirement. But importing foreign labor is often the easiest option, given the supply of available workers in places such as Latin America or Africa.

Immigration also provides a rush of economic growth as migrants boost populations and spend money, even when it elicits blowback from conservative groups, as it has in the U.S. and Europe.

Immigration is now running two to three times above pre pandemic levels across major destination countries including Canada, Germany and the U.K. In the U.S., 3.3 million more migrants arrived than left last year, compared with a 2010s average of around 900,000.

Three-quarters of farmworkers and 30% of construction and mining workers in the U.S. today are migrants. Overall, immigrants made up 18% of the U.S. workforce in 2021, compared with 16% a decade earlier, according to the Organization for Economic Cooperation and Development, a Paris-based club of mostly rich countries.

Despite promising for decades to curb immigration, the U.K. has seen a surge since its 2020 exit from the EU, as businesses scramble for employees. More than 27% of the National Health Service’s nurses are from abroad today, up from around 14% in 2013. In Germany, roughly 80% of slaughterhouse workers are migrants, unions estimate.

Downsides of over reliance

Increased reliance on low-skilled imported labor can lead to weaker productivity growth, which ultimately determines how fast economies can expand, some economic research suggests.

A 2022 study in Denmark found that firms with easy access to migrant workers invested less in robots. Research in Australia and Canada suggests that migrants could keep weak firms alive, weighing on overall productivity.

Labour productivity growth has been sluggish across advanced economies in recent years. In the U.S. and U.K. farming sectors, productivity has flatlined for a decade or longer. In Japan and Korea, which have more restrictive immigration policies, it increased by around 1.5% a year, OECD data show.

Finding the right balance between allowing some migration, which can help restore dynamism in ageing countries, and avoiding over dependence is hard. In many industries, there is no obvious alternative to foreign workers.

Going cold turkey would send prices for products made from migrant labour higher. It would also leave many people in poorer countries with fewer options to pursue better lives.

Anna Boucher , a global migration expert at the University of Sydney, says that some low-skilled migration is probably necessary in the short term due to skills shortages. Without it, some childcare services in Australia would shut down and vegetables would die in the fields.

Economic research suggests that an influx of high-skilled migrants, such as scientists and engineers, can actually lift firms’ productivity and boost local workers’ wages and employment opportunities.

Economists are more divided when it comes to lower-skilled migrants. Such workers are also more easily replaced, including in industries that seem unlikely candidates for automation.

In the Czech Republic, some farmers are using artificial-intelligence-driven robots to monitor and harvest strawberries. Israeli startup Tevel Aerobotics Technologies has developed fruit-picking drones. Fieldwork Robotics, a U.K. company, recently started selling raspberry-picking robots, which stand 6 feet tall with four plastic arms.

Yet for governments, pursuing reforms that boost productivity and allow weaker firms to die is a lot harder than increasing immigration, said Dan Andrews , a productivity expert at the OECD.

“Some countries may have taken the easy way out,” he said.

Pushback from businesses

Hoping to accelerate automation in agriculture, the U.K. government is pouring money into farm technology. It is also considering abolishing rules that allow companies to pay migrant workers 20% less than the going rate for jobs, prompting protests from farmers’ lobby groups. They say farmers adopt technology quickly if it is available, but that robots are no good at picking fruit and vegetables.

“The technology that we are aiming for is five years away…we were saying that five years ago,” said Martin Emmett , a farmer and official at the National Farmers’ Union, a trade group.

In Malaysia, the government last year announced a freeze on hiring of new foreign workers. Government ministers say that over dependence on cheap foreign labor has created a detrimental cycle that allows companies to resist innovation. Local companies say they need more time to invest in automation and upgrade workers’ skills.

Some industries, including manufacturing and plantations, have since been allowed to hire foreigners following appeals, but the broader freeze on foreign workers remains in place with no end date.

In Canada, economists say the government has cast aside a carefully managed immigration system that gave priority to highly skilled workers, and ramped up significantly the intake of foreign students and other low-skilled temporary workers. By flooding the market with cheap labor, Ottawa may be propping up uncompetitive businesses and ultimately damaging productivity, according to a December report co-written by former Canadian central-bank governor David Dodge .

Economic output per capita is lower than it was in 2018 following years of record immigration, notes Mikal Skuterud , an economist at Waterloo University in Ontario. Canada has been bringing in so many low-skilled workers that it lowers the country’s productivity overall, he says.

Germany’s butcher conundrum

The debates are also intensifying in Germany, where businesses including butcher shops in the foothills of the Black Forest are becoming more reliant on imported labor.

Young people don’t want to train as butchers anymore, local businesses say, because it is unglamorous work, with low pay. Labour shortages are one reason why the number of butcher shops has roughly halved over the past two decades.

Three years ago, Handirk von Ungern-Sternberg , an official at the local chamber of handicrafts, started a pilot project to recruit butchers’ apprentices in India, taking advantage of a change in German law that made it easier to hire low-skilled workers from outside the EU. The first batch of 13 young Indians arrived in September 2022.

Now, demand is exploding. Von Ungern-Sternberg plans to bring in roughly 140 Indian workers this year. That number could triple in future, he says.

From auto mechanics to construction, local businesses are clamouring for his young Indian recruits. Chambers of handicrafts across Germany, from the Alps to the North Sea, are seeking his help in starting similar projects.

Butcher shops in Germany’s Black Forest region are becoming more reliant on imported labor. PHOTO: DOMINIC NAHR FOR THE WALL STREET JOURNAL

“We ask ourselves, where’s the limit? Are we a job company? We don’t know where the ceiling is,” von Ungern-Sternberg said.

The program also benefits consumers by helping keep butchers’ costs low. Across the border in Switzerland, where Indian workers aren’t available, meat costs nearly four times as much.

However, Swiss business owners have also been experimenting with new technologies, including sausage vending machines known as Wurstautomaten, which could reduce the need for small-scale butcher’s shops and ultimately help bring prices down.

Meanwhile, opposition to immigration is rising in Germany, which suggests the butchers’ reliance on imported labor might not be sustainable. Support for the anti-immigrant Alternative for Germany party recently hit an all-time high of 23%. Polls suggest it could emerge as the strongest political force in several German state elections later this year.

Dairy dilemma

In Wisconsin, Rosenow, the dairy farmer, says he’s skeptical of the automated milking machines that he says are advertised in farm magazines. Some neighbours experimented with robots but went back to human labor because the robots constantly needed repairs, he says.

Robots would also cost twice as much as immigrant workers and be costly to maintain, Rosenow says. With immigrants, “labor is no constraint.”

Onan Whitcomb , a dairy farmer in Vermont, disagrees. He says that when he wanted to increase production he decided not to hire immigrant workers. Instead, he spent $800,000 on four Dutch-made milking robots.

Milk production per cow has grown by 30% and the incidence of mastitis, an inflammatory disease, has declined by 80%, he says, meaning less spent on antibiotics. Whitcomb says he was able to cut 2.5 jobs, and the investment paid for itself in seven years.

“We were milking 300 cows and we went to 240, and we still made more” milk, Whitcomb said. “That’s hard to beat.”



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Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.

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The AI Boom Faces Its First Serious Debt Test

Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.

By Ruba Jaajaa
Mon, Oct 19, 2026 4 min

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

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