World Bank Warns of Lost Decade for Global Economy
Lender sees demographics, war and pandemic aftereffects holding back growth
4 min
Over the past year, governments around the world have announced tax breaks, subsidies and new laws in a bid to accelerate investment, combat climate change and expand their workforces.
That might not be enough.
The World Bank is warning of a “lost decade” ahead for global growth, as the war in Ukraine, the Covid-19 pandemic and high inflation compound existing structural challenges.
The Washington, D.C.-based international lender says that “it will take a herculean collective policy effort to restore growth in the next decade to the average of the previous one.” Three main factors are behind the reversal in economic progress: an ageing workforce, weakening investment and slowing productivity.
“Across the world, a structural growth slowdown is under way: At current trends, the global potential growth rate—the maximum rate at which an economy can grow without igniting inflation—is expected to fall to a three-decade low over the remainder of the 2020s,” the World Bank said.
Potential growth was 3.5% in the decade from 2000 to 2010. It dropped to 2.6% a year on average from 2011 to 2021, and will shrink further to 2.2% a year from 2022 to 2030, the bank said. About half of the slowdown is attributable to demographic factors.
The latest alarm bells from the World Bank about the global economy come in the wake of the U.S.’s passing the Inflation Reduction Act, which includes hundreds of billions in incentives and funding for clean energy, as well as a law to ratchet up investments in semiconductors. In response, the European Union is relaxing its rules on government tax breaks and other benefits for clean-tech companies.
Meantime, major economies are trying to boost their workforce numbers, often in the face of steep resistance. In France, protesters responded violently to President Emmanuel Macron’s overhaul of the country’s pension system, while China’s shrinking population has prompted local governments there to offer cash rewards and longer maternity leaves to boost births.
These efforts so far might be too little, too late. Weakness in growth could be even more pronounced if financial crises erupt in major economies and trigger a global recession, the World Bank report cautions. The warning comes just weeks after the collapse of Silicon Valley Bank sparked turmoil in the U.S. and European banking sectors.
Questions surrounding global growth prospects will be in the air in Washington, D.C., alongside the blooming cherry blossoms at the spring meetings of the International Monetary Fund and World Bank from April 10 to 16.
Policy makers and central-bank officials will join economists from around the world to discuss topics including inflation, supply chains, global trade fragmentation, artificial intelligence and human capital.
Earlier this year, the World Bank sharply lowered its short-term growth forecast for the global economy, citing persistently high inflation that has elevated the risk for a worldwide recession. It expects global growth to slow to 1.7% in 2023. Other organisations, such as the International Monetary Fund and the Peterson Institute for International Economics, a Washington-based think tank, expect global GDP growth to expand a more robust 2.9% in 2023.
This isn’t the first time the World Bank has warned of a lost decade. In 2021, the lender said the Covid-19 pandemic raised the prospect owing to lower trade and investment caused by uncertainty over the pandemic. It issued similar warnings after the 2008 financial crisis. Global growth from 2009 to 2018 averaged 2.8% a year, compared with 3.5% in the prior decade.
The World Bank identifies a number of challenges conspiring to push down global growth: weak investment, slow productivity growth, restrictive trade measures such as tariffs and the continuing negative effects—such as learning losses from school closures—because of the pandemic.
It said pro-growth policies would help. Measures to boost labor-force participation among discouraged workers and women can help reverse the negative trend in labor force growth from an older population and lower birthrates, according to the World Bank.
Some view the World Bank’s projection for a lost decade as too pessimistic. Harvard University economist Karen Dynan said that ageing populations in nearly every part of the world will be a drag on global growth, but she was more optimistic on raising productivity—output per worker.
“I expect, outside the demographic effects, output per person to look a lot like it did before the pandemic,” she said.
“The World Bank is right to draw concern to the possibility of a lost decade in sub-Saharan Africa, in Central America, in South Asia—an awful lot of human beings are at risk or are facing very grim situations,” said Adam Posen, president of the Peterson Institute for International Economics.
“But from a global GDP outlook, or even a global population outlook, most of the major emerging markets along with most of the Group of 20 essentially are doing pretty well,” Mr. Posen said. He pointed to economic resilience in Europe and emerging markets in recent years, even as the Federal Reserve has sharply raised interest rates.
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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.
Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
4 minA 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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