How China Miscalculated Its Way to a Baby Bust
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How China Miscalculated Its Way to a Baby Bust

By LIYAN QI
Tue, Feb 13, 2024 8:38amGrey Clock 7 min

China’s baby bust is happening faster than many expected, raising fears of a demographic collapse. And coping with the fallout may now be complicated by miscalculations made more than 40 years ago.

The rapid shift under way today wasn’t projected by the architects of China’s one-child policy—one of the biggest social experiments in history, instituted in 1980. At the time, governments around the world feared overpopulation would hold back economic growth. A Moscow-trained missile scientist led the push for China’s policy, based on tables of calculations that applied mathematical models used to calculate rocket trajectories to population growth.

Four decades later, China is ageing much earlier in its development than other major economies did. The shift to fewer births and more elderly citizens threatens to hold back economic growth. In a generation that grew up without siblings, young women are increasingly reluctant to have children —and there are fewer of them every year. Beijing is at a loss to change the mindset brought about by the policy.

Births in China fell by more than 500,000 last year, according to recent government data, accelerating a population drop that started in 2022 . Officials cited a quickly shrinking number of women of childbearing age—more than three million fewer than a year earlier—and acknowledged “changes in people’s thinking about births, postponement of marriage and childbirth.”

Some researchers argue the government underestimates the problem, and the population began to shrink even earlier.

Following the data release, researchers from Victoria University in Australia and the Shanghai Academy of Social Sciences predicted that China will have just 525 million people by the end of the century. That’s down from their previous forecast of 597 million and a precipitous drop from 1.4 billion now.

“Our forecasts for 2022 and 2023 were already low but the real situation has turned out to be worse,” said Xiujian Peng, a senior research fellow at Victoria University who leads the population research in Melbourne.

China’s fertility rate is approaching one birth for every woman , less than half the 2.1 replacement rate that keeps a population stable. In the late 1970s, the fertility rate hovered around 3.

At the time, China was coming out of the chaos of the Cultural Revolution and about to embark on economic reforms. The country’s leader, Deng Xiaoping, and other officials became alarmed when a group of scientists told them that unless they started restricting births, China would have more than four billion mouths to feed in a hundred years.

An essay by some of the scientists published by the official People’s Daily in early 1980 suggested China’s search for a response to overpopulation “points to bringing the fertility rate down to 1…each couple having only one child.”

That fall, China started enforcing the one-child policy nationwide—but the calculations had missed some crucial factors.

Population fears

China wasn’t the only country worried about overpopulation at the time. The rapid rise in the global population in the 1960s and ‘70s prompted fears that humanity would reproduce faster than food production could rise, an idea argued nearly two centuries earlier by economist Thomas Malthus.

Chinese officials were increasingly reviving scientific research after the Cultural Revolution. While social scientists had been persecuted by Mao’s Red Guards, others doing work related to the military had been partly shielded.

The group included Song Jian, a protégé of the father of China’s atomic-bomb program and one of China’s top scientists working on satellites and rockets. Song had studied in Moscow, where he got advanced degrees in a branch of mathematics known as control theory and in military science. Military officials sent him to a launch site for rockets and satellites in the Gobi Desert to escape the chaos of the Cultural Revolution.

Song, who eventually became China’s senior cabinet member heading science and technology, is now 92. He didn’t respond to requests for comment sent to the State Council and the Chinese Academy of Engineering.

In 1975, Song had been part of a Chinese academic delegation visiting the University of Twente in the Netherlands, where he got to know a Dutch mathematician, Geert Jan Olsder. Three years later, the two met a second time, at a conference in Finland.

Olsder, now in his 80s, said he talked about how his research with other mathematicians had been inspired by the warnings about finite global resources and how mathematical models could be applied to birthrates.

Song spoke with the others in fluent English and showed a clear interest in mathematical modelling, Olsder wrote in an email. If the two hadn’t met, he said, he’s sure that some kind of population policy would have started in China, but perhaps a little later. “I feel like a domino stone in a long series of such stones,” he wrote.

Song refined his modelling over the next few years, and with a team of scientists began calculating how different fertility rates could affect China’s population size. In late 1979 he began to present officials with reports based on their modelling. He calculated that, at a constant fertility rate of three babies for every woman, China’s population would hit 4.26 billion by 2080.

With his computer-assisted mathematical models and political connections, Song caught the attention of top leaders. He argued that rapid population growth would prevent China from becoming a rich, modern country, said Susan Greenhalgh, an anthropologist at Harvard University who has written books about the one-child policy.

“He used a frightening narrative of a coming demographic-economic-ecological crisis to persuade people,” she said.

To ward off skepticism, officials said China could switch gears if births dropped too much. “In 30 years, the current problem of especially dreadful population growth may be alleviated and then [we can] adopt different population policies,” the Communist Party said in an open letter in 1980.

Within a little more than a decade, the fertility rate had dipped below the replacement rate. The cohort of young women was still massive, which kept the population growing. But the number of newborn girls was quickly dwindling.

Impact

As the decades passed, a growing number of demographers and economists called out the policy as outdated and flawed. China’s fertility rate would have gone down on its own as life expectancies rose and economic conditions improved, they say.

One factor missing from Song’s population math was human behaviour. The government’s sometimes brutal enforcement, including forced abortions and sterilisations, as well as decades-long propaganda about the benefits of having a small family , left a lasting one-child mindset. The modelling also failed to take into account the traditional preference for sons. If couples could only have one child, they would prefer to have a boy.

Young women are now at the core of China’s demographic dilemma. They are increasingly reluctant to have children—and there are fewer of them every year.

Greenhalgh, the Harvard anthropologist, said that the women growing up under the one-child policy were raised in line with Beijing’s goals of a smaller but what it called “higher-quality” population: well-educated, savvy and independent. “These women are not going to accept going back to the family to be housewives,” she said.

Apart from cultural and social changes, Song’s model hadn’t taken into account economic forces, such as the enormous migration flows to cities unleashed by Deng’s reforms, which played a bigger role than anyone had imagined in pushing down fertility rates, researchers have said.

Zuo Xuejin, a retired demographer who is leading the research team at the Shanghai Academy of Social Sciences, sounded alarms about demographic implosion more than a decade ago, saying the conditions that may have warranted birth-restriction measures had all faded away.

“For many years overpopulation was China’s major concern. It was difficult to convince the government and the public that China will have the problem of fast decline and aging of the population,” Zuo wrote in an email.

Song has said he believed it had been a good call. China had successfully defused the bomb that could have led to a “population explosion,” he wrote in a 2010 essay published by the University of Jinan, his alma mater. “Zero growth [in population] is the destiny of modern mankind and an urgent task for contemporary China,” Song wrote. He estimated China’s population wouldn’t start shrinking until after 2035. He was off by more than a decade, with official data showing the drop starting in 2022.

Beijing has said the policy prevented 400 million births, a claim it has often put forth as a kind of Chinese gift to the world, including at the 2009 climate summit in Copenhagen. Demographers have disputed the figure, saying China’s fertility rate would have gone down on its own as economic conditions improved.

Demographer scramble

Even when Beijing dropped the one-child policy in 2015, leaders didn’t abolish birth restrictions altogether. Instead, it just pivoted to a two-child policy. Now, Beijing is urging people to have three, trumpeting the need to return to a “birth-friendly culture.”

Entrepreneurs, economists and demographers have tried to convey the idea that China needs more babies .

James Liang , co-founder and chairman of travel service provider Trip.com Group and a research professor of economics at Peking University, co-founded YuWa Population Research Institute, a private think tank focused on demographic and public policy analysis.

Liang estimated that China needs to devote 5% of its gross domestic product—roughly equivalent to its education spending—on direct subsidies to promote births and lower the costs of raising children in order for the fertility rate to recover to 1.4, the average rate of advanced economies. His company gives its long-term employees an annual cash bonus of 10,000 yuan ($1,406) for each of their children until they are 5 years old.

Demographers are trying to catch up on the rapidly falling births. The United Nations’ population predictions for China, which were based on the country’s 2020 census and assumed a fertility rate of 1.19, are already out of step with reality.

Patrick Gerland, head of the U.N.’s population estimates and projection section, said their computing tries to capture long-term trends and isn’t made for rapid changes. He agrees with other researchers that put China’s fertility rate closer to 1.0.

“In the case of a country like China where the fertility from one year to the next year has been changing so fast, we’ll have smaller population [projections] than what we had expected two years ago,” he said. The U.N. plans to update its forecasts in July.

Yi Fuxian, a senior scientist in obstetrics and gynaecology at the University of Wisconsin-Madison and a critic of China’s birth restrictions, has long argued the situation is even worse than official data suggests. Yi believes China’s population actually started shrinking years ago, based on birth estimates pieced together from other available data, such as school enrolment and the number of vaccines for newborns.

“All of China’s population policies for decades have been based on erroneous projections,” Yi said. “China’s demographic crisis is beyond the imagination of Chinese officials and the international community.”

Once a generation of young people has made up their minds, it’s hard to change them, said Cai Yong, a sociologist at the University of North Carolina at Chapel Hill.

It’s possible fertility rates could now increase with official messages and policies promoting bigger families to a newer generation, said Cai, but “if it’s going to happen, it’s not going to happen in the short term.”



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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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