Aging and declining birth rates | Governance study group
Fri, 2026-02-06
Sharing our experimental call summaries.
Al-generated digests of Yak Collective study groups.
Key resources discussed
1)The wealth of working nations: https://www.sciencedirect.com/science/article/pii/S0014292125000121
2) https://x.com/jesusferna7026/status/1929278948350771281
Framing: Birth Rates, GDP, and the Politics of “Population Decline”
The session revolved around contemporary anxiety about declining birth rates, with the group treating it less as a demographic math problem and more as a question of:
What we choose to measure (GDP, productivity, “working-age population”)
Who benefits from particular framings (e.g., billionaire / policy panics)
What kinds of societies we actually want to live in (psychologically, culturally, technologically)
Participants repeatedly contrasted the narrow “birth rate panic” discourse with broader considerations: public health, women’s health, climate change, and the changing role of automation and AI.
There was broad skepticism toward the standard technocratic framing (“low fertility → GDP risk → crisis”) and strong emphasis on measurement choices and underlying power dynamics.
GDP and Measurement: Origins, Limits, and Goodhart’s Law
One thread dug into the history and structure of GDP as a metric:
GDP emerged in the 1930s US as a way to formalize national income accounting.
It became an operational tool in the 1940s wartime context.
In 1952, it was standardized as the global system of national accounts, effectively becoming the canonical yardstick for economic performance.
From there, concerns were:
Oversimplification: GDP is a “massive simplification” of an already complex, “spaghetti monster” economy of factories, farms, banks, and services. It’s “useful but wrong.”
Goodhart’s Law: Once GDP became the target metric, it distorted policy and discourse—“a classic case of Goodhart’s law.”
Static modeling: Neoclassical GDP-based models rely on heavy abstractions (aggregated utilities, static assumptions) that feel detached from the dynamic, technological, and ecological realities of actual economies.
Technology blind spots: The discussion noted that GDP and common models struggle to account for:
Productivity of robots and automation
Welfare gains that are not easily priced
The changing relationship between human labor input and total output
There was agreement that:
GDP per capita, or even GDP per adult, is at best one “half of the equation.”
The more automation takes over, the less GDP-based metrics tell us about actual human welfare or the structure of society.
Demographic Ratios: Working Adults, Retirees, and the Role of Automation
A central technical/economic framing was the ratio of working-age adults to retirees as a more informative metric than raw population or GDP per capita.
Key points:
Historically in the US:
Early 20th century: ~16 working adults per retiree.
Around 2000: ~3 working adults per retiree.
Despite the 16→3 decline, quality of life generally increased for both workers and retirees.
This ratio is interesting because:
It directly reflects the balance of producers vs. pure consumers:
Babies and children have positive net present value (NPV) because they will eventually be productive.
Retirees have zero or negative NPV in pure GDP terms (they consume but are not expected to add future output).
It suggests that even with more “dependents” per worker, increased productivity (via technology, organization, capital) can maintain or improve living standards.
The group then considered extreme regimes:
Countries like Japan and Thailand approaching states where ~1 working adult might be supporting multiple retirees.
Hypothetical future where:
AI and robotics do essentially all economically necessary work.
The ratio of “working” humans to retirees could effectively be 0:1 (infinite retirees per worker).
Human roles center on art, high-end research, or other intrinsically meaningful tasks.
The underlying thesis:
There is no economically rational, fixed “right” population or ratio that must be hit.
The key question becomes: what is the shape and texture of society—what humans actually do with their time—once automation de-links human headcount from production capacity.
Evolutionary Framing: From r/K Selection to Hyper-Intensive Parenting
The group used the ecological notion of r/K selection as a loose analogy:
r-selected species: Many offspring, low investment per offspring, low survival rate.
K-selected species: Few offspring, high investment per offspring, high survival rate.
Humans historically sat somewhere in the middle:
Prior generations (e.g., grandmothers) commonly had 7–10 children, with several pregnancies and some miscarriages.
Childrearing involved relatively “basic care” and a fair amount of benign neglect; children self-organized and were not hyper-scheduled.
Modern pattern:
Average births per woman have dropped to ~2–3 in many societies.
Investment per child has exploded: intensive education, structured activities, higher expectations of emotional and time investment.
The group argued:
Humans may now be at an extreme K-selection mode culturally, enabled by:
Birth control (especially the pill)
Reduced infant mortality
Expanded options for women and families
Many women, when given control, choose fewer children because having many children is simply a lot of work, not primarily because of abstract economics or lost religious norms.
A nuanced tension emerged:
From the child’s perspective: Some argued that kids actually do better with more freedom and “benign neglect”—less helicopter parenting, more unstructured time, more siblings.
From the woman’s perspective: Bearing and raising many children under older norms was often materially and emotionally costly. Participants doubted that high-fertility patterns were genuinely good for women, even if they sometimes produced resilient children.
There was also an observation that:
Hyper-attentive parenting norms from the West in the 1990s onward seem to have spread to developing countries (e.g., India), where middle-class children are now heavily scheduled and supervised, with much less “run wild” autonomy than in previous generations.
Psychological and Cultural Role of Children in Communities
A key line of argument was that children are critical for the psychological and cultural health of societies, even beyond economics:
Towns with mostly elderly populations (e.g., parts of upstate New York) were described as having a “funeral atmosphere”: few young people, one funeral home, aging service workers.
In contrast, mixed-age communities—where children are visibly present—feel more alive and enriching, even for non-parents.
Several points:
Humans, on average, like children at a deep psychological level:
Enjoyment of playing with kids
Emotional response to babies’ laughter
Even self-identified “non-kid people” often like specific children.
A hypothesis raised: a society without babies and young children might be psychologically unhealthy for its remaining adults, regardless of material wealth or automation.
This underpinning leads to a soft conclusion:
Even if some individuals are indifferent to species continuation, most humans may not be able to maintain psychological well-being in a culture with effectively no new children.
Therefore, any “steady-state” or shrinking-population future likely needs some ongoing birth rate to keep communities psychologically and culturally healthy.
This contrasts with the more abstract “it’s fine if humans gradually go extinct while robots do everything” view. One participant personally found human extinction not particularly horrifying in cosmic terms, but acknowledged that most people feel otherwise and that the presence of children is itself part of what gives current human life its emotional texture.
Lived Contexts: Canada, Japan, Austin, and Rural vs Urban Patterns
The discussion grounded abstract points with several location-specific examples.
Canada
Canada’s approach is to rely heavily on immigration to maintain population and workforce levels.
Culturally and politically:
Immigrants can become citizens after a period, and are generally regarded as “fully Canadian,” despite existing racism/bigotry.
This gives immigrants a sense that they can change things they don’t like—unlike more closed systems.
A participant with a child in Canada framed their decision to have children as doing so despite society:
There are “huge economic disincentives” even under universal health care.
The medical system, especially for women, is described as a “nightmare”: poor design, lack of investment in women’s health, and inadequate training in relevant care.
This fed into frustration that demographic panickers rarely advocate for:
Better support for women’s health
Structural improvements that would make having children less punishing
Japan
Japan was a recurring case study:
Macro picture:
Low birth rate, aging population.
Economic and administrative activity is highly concentrated in Tokyo.
On the ground:
In Tokyo, you still see lots of kids—morning scenes of parents biking children to school, etc.—so the “low fertility” doesn’t feel as stark.
In rural regions, however, population collapse is dramatic:
Closed schools
Very few children
Effectively “dead” towns.
Structural constraint:
Unlike some US contexts where people “cash out” and move to suburbs for kids, Japan’s job concentration in Tokyo makes it hard to move to rural areas and still maintain careers.
This supports the view that Japan’s problem is not just “low birth rates” but spatial and economic concentration combined with stringent immigration and integration policies.
Austin and the “Peter Pan City” Phenomenon
Austin was presented as a kind of perpetual adolescence city:
The inner city has many young, often childless adults; families with children tend to live in the suburbs.
Result:
Few kids are visible in the daily life of inner-city Austin.
At the same time, it’s not an “old” city either; more like a Neverland where everyone is staying young.
Layered on top:
The “Natal Conference” in Austin, a pro-natalism themed gathering, is seen as somewhat farcical:
Reported composition ~85% men, ~15% women.
Skews toward older single men who (speculatively) might be trying to get married.
This juxtaposition—pro-natal rhetoric in a visibly child-light, youth-centric environment—underscored the gap between talking about birth rates and actually building family-supportive environments.
Folk Lived Examples
Participants noted their own grandparents with 7–9 children, often raised in conditions that would now trigger intervention by social services.
The contrast was used to underline both:
How quickly norms and expectations around parenting have changed.
How much more energy (time, attention, money) is now assumed per child.
Power and Exploitation: Why the Elite Panic about Birth Rates
The group questioned whose interests are really served by birth rate panic.
One line of thought:
For historical and current elites, it can be economically advantageous to have:
A large, somewhat unhealthy, precarious workforce.
People who are ill but functional, lacking healthcare and security, and thus easier to exploit.
In this “slumlord labor economics” view:
The goal is not maximizing median well-being or individual flourishing.
The goal is maximizing economically exploitable human population for the benefit of a small group.
Consequently:
Elites may be perfectly comfortable with a large unhappy labor pool and underinvestment in public health.
They may panic about low birth rates because they foresee a shrinking exploitable base, not because they care about generalized welfare.
A speculative projection:
As AI and robotics improve:
The economic need for a large human labor pool declines.
The same elites may eventually reduce their concern over human population size, caring only about:
Having enough humans around to satisfy their own psychological and social needs.
Basic stability.
The strong historical correlation between human headcount and economic output could break within our lifetimes.
This strand connected to earlier points about:
The lack of interest among pro-natalist pundits in basic pro-commons public health behaviors (e.g., consistent masking to prevent COVID-caused disability).
The gap between stated concern (“we need more workers”) and actual behavioral commitments to sustaining a healthy workforce.
Pandemic, Health, Climate: Ignored Externalities in Fertility Debates
Several participants argued that mainstream fertility discourse is blinkered:
Public health: The pandemic’s long-term impact on the working-age population—via disability and chronic illness—is rarely factored into fertility debates.
Simple actions like wearing a mask to protect others are not widely taken, even by some who publicly worry about “future workers.”
Women’s health systems: There is a significant mismatch between:
Rhetorical concern about low birth rates, and
The reality of underfunded, ill-designed systems that make:
Pregnancy
Birth
General women’s health care highly stressful and discouraging.
Externalities in economic models:
The group argued that economists should pay much more attention to “externalities,” especially health and climate.
Climate change was described as likely to have a bigger societal impact than demographic shifts, yet gets siloed from fertility arguments.
Overall, there was frustration that:
Many high-profile fertility panics focus narrowly on numbers of births, ignoring:
Whether societies are livable for parents and children.
Whether existing adults are kept healthy enough to work and care.
Environmental constraints that will shape all of the above.
Technology, Surplus Activities, and Blaming the Internet
The group also touched on how technology interacts with fertility decisions.
Points raised:
A common narrative blames the internet, smartphones, and digital distraction for declining birth rates.
One nuanced take:
For middle-class people, having children is increasingly a surplus activity—done after basic needs and personal goals are met.
As technology increases the range of other “surplus” activities (creative pursuits, online communities, games, etc.), the opportunity cost of children rises.
Japan was framed as having an early, “analog” version of high-tech distraction and density—“digital steampunk”—even before smartphones:
This may have contributed to different lifestyle patterns without being the sole cause of low fertility.
The group did not converge on a single causal story, but agreed that:
Technology changes lifestyle options and social expectations.
Simplistic claims that “phones killed babies” are not adequate explanations.
Wrap-Up
Key Takeaways
The ratio of working-age adults to retirees is a more informative demographic metric than raw population, but even that becomes less decisive in a high-automation world.
GDP and similar aggregate metrics are deeply limited; they oversimplify complex economies and are prone to Goodhart’s Law once adopted as targets.
Modern human societies have shifted toward extreme “K-selection” in childrearing—few children, high investment—enabled by birth control and lower mortality, and strongly influenced by women’s preferences once they have control.
The visible presence of children appears crucial to the psychological and cultural health of communities; “childless” towns or city cores often feel lifeless or funereal.
Elite fertility panics may be less about general welfare and more about maintaining a large, exploitable labor pool; as AI progresses, this logic may change.
Current fertility discourse routinely ignores public health, women’s healthcare quality, and climate externalities, even though these heavily shape both the desire and ability to have children.
Open Questions Surfaced by the Group
What metrics—beyond GDP and simple demographic ratios—better capture the health of a human–machine mixed economy?
Is there a minimum “child density” required for psychologically healthy communities, and how would we even study or quantify that?
How much of the fertility decline is driven by women’s preferences when unencumbered by coercion vs. economic constraints vs. cultural shifts?
In highly automated futures, what social roles remain essential for humans, and how should societies structure education and childrearing in light of that?
Call chat on Yak Collective Discord:
https://discord.com/channels/692111190851059762/1469213376327450881