Why Aging Societies Are Running Out of People to Provide Care
Across OECD countries, the long term care workforce needs to grow by 13.5 million people by 2040 just to hold the current ratio of caregivers to elderly people steady. Not improve it. Hold it. That’s a 60 percent increase in a workforce that is already short staffed, underpaid, and losing people faster than it can train them, arriving at the exact moment the population it serves is growing fastest. The number of people aged 65 or older worldwide has already passed 700 million. By 2050 it’s projected to reach 1.5 billion.
Think of it as an hourglass whose neck has stopped keeping pace with what’s piling up above it.
Why this keeps getting filed under pensions
Ask most people what happens when a society ages and they’ll reach for a financial answer. Can the country afford enough pensions. Is the retirement age too low. Will the state pension fund run dry. These are real questions, and they share a comforting feature: money can solve them. Raise contribution rates, adjust the retirement age by a couple of years, and the sums can be made to balance.
Caregiving sits outside that logic. A government can fund elder care at any level it chooses and still not produce a single additional caregiver, because the constraint was never the budget line. A hospital can advertise a nursing salary of any size, but if the trained nurses don’t exist in sufficient numbers, the position stays open regardless of the offer. Pensions are ultimately a question of how much money a country can shift from one account to another over time. Caregiving asks something harder: how many people are physically present and willing to do this work, and that number was mostly set by birth rates decades ago, long before any current policy could touch it.
The ratio, three countries
Germany’s statistical office has put a precise figure on the squeeze. Nursing staff needs are projected to climb from 1.62 million in 2019 to 2.15 million by 2049, a third more than today, driven almost entirely by the aging of the population itself. Even in the office’s more optimistic scenario, that leaves a shortfall of about 280,000 nurses; in the scenario that assumes no improvement in recruitment, the gap reaches roughly 690,000. Germany has responded by recruiting nurses from Latin America, the Balkans, and the Middle East under successive rounds of its Pflegestärkungsgesetze, the care strengthening laws passed since 2015 to expand both funding and staffing. In Berlin, more than half the nursing workforce is now foreign born.
Britain shows what happens when that channel closes instead. In 2022, the UK issued 26,141 visas to nursing professionals. By 2025 that number had fallen to 1,777, a decline of more than 90 percent, after the government barred care workers from bringing dependents and raised salary thresholds. Total applications for the health and care worker visa fell from around 129,000 in the year to March 2024 to about 26,000 the following year. Going into that tightening, in 2024, England’s care sector was already carrying more than 100,000 unfilled vacancies.
Japan shows where the other two are headed. Close to 30 percent of its population is 65 or older, the highest share anywhere in the world, and the working age population that would normally supply caregivers shrinks every year. Since 2019, Japan has run a dedicated visa category for foreign care workers under its Specified Skilled Worker program, requiring applicants to pass both a nursing care skills exam and a Japanese language test, and it has separately built a distinct Kaigo residence status for workers who hold the country’s own certified care worker qualification. Both channels bring in real numbers each year. Neither comes close to closing a gap that domestic recruitment alone cannot fill, because there simply aren’t enough working age Japanese citizens left to recruit from.
What separates these three cases isn’t the size of the gap so much as how much room each government still believes it has to maneuver: Germany is still trying to buy time through recruitment, while Britain has decided the political cost of immigration outweighs the staffing cost of doing without it, a trade Japan never really had the option to make in the first place.
The labor nobody counts
Long before any of this shows up in a national workforce projection, it shows up inside households, and mostly falls on women. The clearest measure comes from the International Labour Organization, which found that women perform 76.2 percent of all unpaid care work hours worldwide, more than three times the share performed by men, totaling 16.4 billion hours of unpaid care every day. At the pace the gap has narrowed over the past two decades, roughly seven minutes a day, the ILO calculated it would take 210 years to close.
None of that labor shows up in GDP, and none of it appears in any formal workforce projection, even though it’s absorbing exactly the kind of demand those projections are trying to measure. It has functioned for decades as an informal supply running alongside the paid system, quietly making up whatever the formal sector couldn’t cover. Smaller families, delayed childbirth, and rising female labor force participation are shrinking that informal supply at the same time the formal one is falling short, which means the two shortages are compounding each other rather than offsetting each other.
Why the usual fixes don’t apply here
Most twentieth century labor shortages eventually got solved one of two ways: move the work somewhere the labor was cheaper, or automate the work so fewer people could do more of it. Manufacturing took the first route. Software took the second, so thoroughly that a single engineer’s code can now serve tens of millions of people at once. Caregiving has neither option available in any meaningful way. The person needing care and the person providing it have to occupy the same room, which rules out offshoring. And tasks like lifting someone out of bed, helping them eat, or changing a dressing remain stubbornly resistant to substitution by machine.
Economists have a name for what this produces: Baumol’s cost disease, the observation that in labor intensive sectors where output per worker can’t easily rise, wages still climb to keep pace with the rest of the economy, so costs rise faster than the service itself improves. A caregiver today can look after roughly as many people as a caregiver could forty years ago, and that limit is baked into the nature of the work rather than any failure of policy. It’s also why care keeps getting structurally more expensive even when nothing about its quality has changed.
The care drain
Faced with a shortage that resists both automation and outsourcing, wealthy aging countries have leaned hard on the one lever that has actually worked: recruiting caregivers from countries where the demographic pressure hasn’t hit yet. Filipino nurses staff hospitals across the Gulf, North America, and parts of Europe. Nepali and Vietnamese workers increasingly fill Japan’s Specified Skilled Worker slots. Eastern European aides plug gaps in German and Austrian nursing homes.
This doesn’t resolve the underlying shortage so much as relocate it. The countries sending nurses and aides abroad, among them the Philippines, much of Eastern Europe, and large parts of South and Southeast Asia, are exporting exactly the workers they will need for their own aging populations in twenty or thirty years, usually with far less capacity to pay for elder care than the countries currently receiving their labor. A shortage that looks solved from Berlin or Tokyo has often just moved down the line to a country with fewer resources to meet it when its own turn comes. And it’s happening at the same moment domestic politics in several receiving countries is turning against immigration generally, even as those same countries depend on immigrant labor specifically to keep their hospitals and care homes staffed.
What technology can actually do
The honest answer sits between the hype and the dismissal, and Japan has run the experiment longest. Since 2015 the government has subsidized robot adoption in nursing homes, and by 2016 roughly 15 percent had adopted at least one unit. At the Silver Wing facility in Osaka, caregivers wear HAL, a powered exoskeleton from Cyberdyne that reads electrical signals from the wearer’s muscles and adds lifting strength, cutting the physical strain of moving residents. Elsewhere, PARO, a therapeutic robot shaped like a seal pup, has been used in dementia wards in more than thirty countries to calm agitated patients through touch and simple responsiveness.
A National Bureau of Economic Research study of Japanese nursing homes found something that cuts against both the tech-optimist and tech-skeptic instincts: robot adoption was associated with larger staff numbers, not smaller, and with facilities more likely to hire skilled nurses and offer staff training. The robots weren’t replacing caregivers. They were absorbing enough of the physical strain and routine monitoring that facilities could employ more people and free up more of each caregiver’s time for the parts of the job that still need a person: noticing something is wrong before a resident with dementia can describe it, or simply being present with someone who is frightened. What the Japanese data actually shows is a ceiling being raised, not a workforce being replaced, and raising the ceiling on what existing caregivers can do is a different achievement than manufacturing new ones.
Who pays, and what’s holding for now
Someone has to absorb the gap between what the formal system can supply and what an aging population needs, and it shows up as some mix of higher prices, longer waits, and care that simply doesn’t happen. In the United States, the median cost of a private nursing home room reached $129,575 a year in 2025, and a typical Social Security check covers only about a fifth of even a shared room. The rest gets paid out of savings, out of a house sold to cover the balance, or out of the unpaid hours documented earlier, performed mostly by daughters and wives rather than purchased on any market at all.
It’s worth being precise about what rising spending actually represents here, because it’s easy to mistake it for progress. Between 2014 and 2024, median wages in Germany’s elder care sector rose more than 60 percent, a textbook response to a labor shortage: when a good or service is scarce, its price rises to ration what little supply exists. But Germany’s own statistical office still projects a shortfall of up to 690,000 nursing staff by 2049, the same range it was projecting before wages started climbing. The money did its job. It made care more expensive and made the work more attractive to some new entrants, but it didn’t create the missing workers, because wages can bid for a larger share of an existing pool of caregivers without ever expanding the pool itself. Rising spending on care is less a sign the shortage is closing than a symptom that it hasn’t.
A few responses have shown real, if partial, traction against that trend. Germany’s mandatory long term care insurance system, built up through its Pflegestärkungsgesetze, has kept a larger share of costs predictable and publicly pooled than in most peer countries, even as it now confronts the same underlying labor gap. Visa programs that stay open, rather than closing the way Britain’s has, have measurably eased near term shortages without solving the supply problem underneath them. None of this restores the old ratio. At best it slows how fast the ratio keeps deteriorating, which given the trajectory may be the realistic goal for the next decade.
The number that actually decides things
Pension debates ask whether old age is affordable. That’s the wrong place to stop. What actually determines what old age will look like for most people is not in any pension calculation. It’s the ratio of hands available to hands needed, the same narrowing neck the opening image described, and no amount of careful fiscal planning changes how much of that gap gets closed in a given year.
A country can fully fund its retirement system and still not have enough caregivers to deliver what that funding was meant to buy. That’s the situation a growing number of aging societies are walking into, not because they failed to save, but because saving was never the constraint that mattered. The twentieth century economy organized itself around producing enough goods for a growing population. What comes next is narrower and more personal: whether there will be enough people, in the right place, willing to do the work of caring for everyone that earlier economy is now leaving behind.
