When a small birth cohort enters the labor market two decades later, employers receive fewer applications. A hospital struggles to fill a night shift while a manufacturer keeps an older technician because no apprentice knows the machine. The economy has not run out of people; it has begun asking fewer workers to carry more of what earlier generations built.
Scarcity can be good for workers. Employers may raise wages, loosen hiring requirements, or buy equipment that makes each employee more productive. A country with fewer people can remain rich, and income per person can rise while total output falls. I expect many low-fertility countries to remain comfortable for a long time.
The pressure appears in what the remaining workers have to maintain. Older people need more care; roads and water systems do not shrink neatly with the population; existing businesses still need someone who understands how they work. As more effort goes toward keeping inherited systems running, less spare capacity remains for expansion and experimentation.
Work becomes scarce
Care is exposed early because demand rises with age while much of the work remains personal. A factory can install robots; a frail person still needs someone patient enough to help her stand.
Higher wages can pull more people into paid work, flexible jobs may keep older adults employed, and better training can open work to people employers once screened out. The OECD estimates that the working-age population across its members will decline by 8 percent by 2060. It also finds considerable room to offset that decline through higher employment among older adults and other underrepresented groups.
Longer working lives make sense when healthy life has lengthened, provided physically worn-out workers are not simply told to endure another five years. The relevant reform may be a safer job, fewer hours, or a different role rather than one higher retirement age for everyone.
Japan’s labor ministry has documented one smaller response at a care provider in Mie Prefecture. Welfare Mie divided direct care from supporting tasks and created dedicated night-shift roles, opening some work to older and disabled employees while trying to retain experienced caregivers. It did not automate the relationship. It reorganized the work around the people available to do it.
Automation buys capacity
Demographic pressure gives firms a reason to substitute machines for scarce labor. Daron Acemoglu and Pascual Restrepo found that countries aging more rapidly adopted industrial robots more quickly and did not grow more slowly over the period they studied, suggesting that automation absorbed part of the shock.
Machines take a task, 2011 A robot installs a laminated glass roof at Tesla’s factory in Fremont, California. Aging countries have adopted industrial robots more quickly; the limits appear where judgment and responsibility cannot be reduced to a task. via Wikimedia Commons
That is encouraging. A warehouse with autonomous equipment can move more goods with fewer workers, and artificial intelligence may let one engineer handle work that once required a larger team. Productivity is the most promising way for a smaller workforce to maintain a large inherited stock of capital and services.
The limits appear where responsibility cannot be reduced to a task. A robot can move a box without taking responsibility for the warehouse; care is harder still. Even a highly automated economy needs people who notice failures, make judgments, and decide what should be built next.
Productivity and the economic margin
Demographic change can split asset markets. In shrinking towns, inherited homes lose value as buyers disappear; in prosperous cities, housing can remain expensive because younger workers keep concentrating there. Consumer markets divide in the same way: national demand may soften while the places still attracting workers remain crowded. These are economic reallocations, distinct from the public cost of maintaining water lines or financing care taken up in the pages that follow.
Innovation raises a longer and less certain question. Modern discovery often requires large teams. Research by Nicholas Bloom, Charles Jones, John Van Reenen, and Michael Webb found that the number of researchers needed to sustain Moore’s Law was more than eighteen times larger than in the early 1970s. Across their cases, rising research effort offset declining research productivity.
That result does not prove that a smaller population innovates less. Education, freedom, capital, communication, and the quality of institutions determine whether potential talent ever reaches a laboratory, and artificial intelligence may let a small team attempt work that once required a large one. Population affects the pool from which teams and experiments can be assembled; it does not decide what those people will discover.
None of this implies that output per person must fall. The problem is the margin left after care and maintenance. A productive society can keep inherited systems running with fewer people for decades; if every generation is smaller, it has to repeat the achievement with fewer hands again. Its success should make us less fatalistic about adaptation, not indifferent to recurrence.
There is a feedback risk here too. Scarce younger workers may face intense career demand just as they are trying to form families, while taxes and care obligations take more of their income and time. Adaptation that protects today’s standard of living can make the next generation harder to raise unless governments, employers, and families notice the trade.
Productivity can buy enormous time. What it cannot do by itself is produce the successors who decide how to use it.
Citations
- Organisation for Economic Co-operation and Development, “OECD job markets remain resilient but population ageing will cause significant labour shortages and fiscal pressures”, July 9, 2025.
- Japan Ministry of Health, Labour and Welfare, “Responding to Labor Shortages”, in Analysis of the Labour Economy 2024, 2024.
- Daron Acemoglu and Pascual Restrepo, “Secular Stagnation? The Effect of Aging on Economic Growth in the Age of Automation”, American Economic Review 107, no. 5, 2017.
- Nicholas Bloom, Charles I. Jones, John Van Reenen, and Michael Webb, “Are Ideas Getting Harder to Find?”, American Economic Review 110, no. 4, 2020.