Why They Can't Afford To Start

The Chart That Started the Investigation

A single chart of American parental age went viral because it confirmed what millions of young people already felt: starting a family got harder, and nobody will explain why. This editorial traces that question to its source—and to an unexpected conclusion about where the opportunity is.

The data is from the CDC’s National Center for Health Statistics, and it tells a story so clean it almost looks engineered. Mean age of mother at all births stood at 24.6 in 1970–71, dipped to 24.4 in 1973–74, then rose without interruption for half a century—reaching 25.0 by 1980, 26.4 by 1990, and roughly 30 by the 2020s.¹ Mean age at first birth was even more revealing: it held flat at 21.4 from 1970 through 1972, ticked up to 21.5 in 1973, and accelerated steadily thereafter. Women were never actually having first births at younger ages during the supposed trough.

The dip that launched a thousand internet arguments was barely two-tenths of a year. The reversal that followed—a gain of nearly five years in mean maternal age from 1974 to 2000—was orders of magnitude larger. But the internet fixated on the dip, not the climb, because the dip aligned with a narrative that had already gone viral: “WTF happened in 1971?”

What Actually Happened

Three compositional forces converged to produce that shallow trough. First, the baby boom cohort effect: 76 million Americans born between 1946 and 1964 began reaching peak childbearing ages in the mid-1960s. A massive young cohort entering parenthood mechanically pulls the mean downward, even without behavioral change.²

Second, higher-order births were vanishing as the contraceptive revolution took hold. Third, fourth, and fifth children—born when mothers are in their thirties—disappeared from the distribution. Remove them and the overall mean drops, even if nobody changes when they have their first child. Demographers Bongaarts and Feeney formalized this in their 1998 tempo-adjustment framework.³

Third, and most underappreciated: the Vietnam-era paternity deferment. After LBJ eliminated marriage deferments in 1965, fatherhood became the primary route to avoiding the draft. By 1969, over four million men held III-A deferments—more than twice the number holding student deferments. Bailey and Chyn, using the 1969 draft lottery as a natural experiment, found that women married to men with high-risk lottery numbers were over 40% more likely to give birth the following year. Birth rates ran roughly 13% above trend in 1970.⁴ Then Nixon eliminated paternity deferments in April 1970, and the fertility spike reversed on schedule.

The Nixon Paradox

The most conservative president of the postwar era presided over the most consequential expansion of reproductive freedom in American history. The policies he signed and the courts he shaped bent the parental age curve upward—and planted the seeds of a populism that wouldn’t fully bloom for forty years.

Title X (1970)Title X of the Public Health Service ActThe only federal grant program dedicated solely to providing comprehensive family planning and preventive health services. Signed by Nixon in 1970, it funds a network of nearly 4,000 clinics serving roughly 4 million low-income patients annually. It does not fund abortions. created the only federal program dedicated solely to family planning. Nixon himself declared that no American woman should be denied access because of her economic condition. Martha Bailey’s definitive 2012 study found Title X programs reduced childbearing among poor women by 19 to 30%—equivalent to half to three-quarters of the fertility gap between poor and nonpoor women.⁵

Eisenstadt v. Baird (1972)Eisenstadt v. Baird — 405 U.S. 438A landmark Supreme Court case that extended the right to possess and use contraceptives to unmarried individuals. Building on Griswold v. Connecticut (1965), which had established contraceptive rights for married couples, the Court ruled that denying access to unmarried people violated the Equal Protection Clause of the Fourteenth Amendment. extended contraceptive access to unmarried individuals. Goldin and KatzGoldin & Katz — “The Power of the Pill”A 2002 study by Harvard economists Claudia Goldin and Lawrence Katz published in the Journal of Political Economy. They demonstrated that oral contraceptive access in the late 1960s–70s directly enabled women to invest in longer professional education and delay marriage, fundamentally reshaping female career trajectories and family formation timing. documented that age at first marriage among college-educated women soared just after 1972, and applications to professional schools exploded—directly enabled by the pill’s diffusion among young single women.⁶ Roe v. Wade (1973)Roe v. Wade — 410 U.S. 113The 1973 Supreme Court decision that established a constitutional right to abortion under the Due Process Clause of the Fourteenth Amendment. The 7–2 ruling, which included three Nixon appointees in the majority, created a trimester framework for state regulation. It was overturned in 2022 by Dobbs v. Jackson Women’s Health Organization., decided by a court with three Nixon appointees in the majority, produced a 4–5% decline in fertility nationally, with effects concentrated among the youngest mothers.⁷ Title IX (1972)Title IX of the Education AmendmentsA federal civil rights law that prohibits sex-based discrimination in any education program or activity receiving federal funding. While most publicly associated with women’s athletics, its broader impact transformed professional education access—women went from earning 7% of law degrees and 9% of medical degrees before the law to nearly half of both today. operated on a longer timeline but with enormous cumulative force: before the law, women earned 7% of law degrees and 9% of medical degrees; they now earn nearly half of both.

The Great Society’s Ambiguous Footprint

Conservative critics have long argued that LBJ’s welfare programs incentivized early parenthood. The data says otherwise. Robert Moffitt’s authoritative 1998 review for the National Research Council found welfare had a statistically significant but small positive effect on fertility—too small to explain observed trends.⁸ A devastating fact for the incentive theory: real AFDC benefits declined continuously from the early 1970s while out-of-wedlock births continued rising—the opposite of what the welfare-causes-family-breakdown thesis predicts.

The Great Society’s actual demographic contribution ran through channels its critics rarely emphasize: the family planning programs that preceded Title X actively reduced fertility among low-income women, and the Higher Education Act of 1965 expanded college access in ways that delayed childbearing for decades. The net effect was probably mildly fertility-reducing—the opposite of what its critics allege.

The Narrative Machine

The “WTF happened in 1971” website presents 75 charts all attributed to one cause: Nixon ending dollar-gold convertibility. The thesis contains a legitimate kernel surrounded by significant overreach—and it’s a perfect case study in how narratives override evidence.

What It Gets Right

Something genuinely shifted. The productivity-pay divergence is real: from 1948–1973, hourly compensation and productivity grew nearly in tandem, but from 1973–2014, productivity grew 72.2% while median compensation grew only 8.7%.⁹ A Dallas Fed paper published in February 2026 argues that monetary expansion enabled by the end of Bretton Woods was the primary cause of 1970s inflation, with oil price increases partly endogenous to monetary conditions rather than purely supply-driven.¹⁰ Inflation eroded purchasing power: median income for families headed by someone under 30 fell 27% between 1973 and 1986. The Population Reference Bureau directly connected the record-low 1976 TFR of 1.7 to double-digit inflation and rising housing costs.

What It Gets Wrong

The timing destroys the causal claim for parental age specifically. Children born in 1971–73 were conceived before or barely after the August 1971 Nixon Shock. Economic policy changes take 12–24 months to affect the real economy. The EPI itself dates the productivity-wage divergence to 1979, not 1971.

Most importantly, the international evidence is fatal. Every developed country—Sweden, Finland, the Netherlands, Japan, Switzerland, the Czech Republic—experienced the same parental age pattern: decline through the mid-1970s, sustained reversal upward thereafter. These countries operated under different monetary systems, different welfare states, different policy regimes. The shared timing points to transnational structural causes, not American monetary policy.

The Fifty-Year Squeeze

The structural forces identified in the parental age research didn’t stop in the 1970s. They compounded. And each generation that felt the squeeze demanded an explanation the system couldn’t provide—which is how you get populism.

The numbers tell the same story across every dimension. In 1975, a median-income household could buy a median-priced home for 2.8 times annual income. By 2024, that ratio had climbed to 7.2x. Student debt, virtually nonexistent as a share of young adult income in the 1970s, now consumes more than two-thirds of it. Childcare has quadrupled as a share of household budgets.

Young people today aren’t choosing to delay families. The economic structure makes it the only rational response. And here’s where the populism connection becomes unavoidable: when an entire generation can’t afford to start families at the age their parents did, that’s not a lifestyle choice—it’s a system failure that people can feel even when they can’t articulate the mechanism.

The Populist Feedback Loop

People don’t become populists because they read theory. They become populists because the mainstream explanations—“you need more education,” “the economy is actually doing great”—don’t match their lived experience. Trump’s tariffs, Sanders’ anti-Wall Street rhetoric, Brexit, Milei in Argentina—the specific policies differ but the pattern is the same: the institutional consensus gets rejected.

But here’s the part most people miss: populist solutions tend to create the conditions for the next cycle. Tariffs raise consumer costs, hitting the same young families hardest. Fiscal expansion without productivity gains produces inflation. Institutional distrust raises the risk premium on long-duration investments like housing and education—exactly the investments young people need. The populist response to the squeeze intensifies the squeeze, which produces more populism, until something structural breaks.

Historically, what “breaks” looks like a major bear market, a currency crisis, or a war—often all three simultaneously. If that sequence sounds familiar, you’re paying attention.

But here’s what almost nobody says: the same systemic forces that make it harder to start a family also make it possible to build wealth—if you understand the mechanics. The squeeze produces populism, populism produces policy chaos, and policy chaos produces the kind of market dislocations where assets get mispriced by 10x or more. The people who understand why the system squeezes them are the same people positioned to recognize when that squeeze creates opportunity. That’s not a coincidence. It’s the escape route built into the architecture.

The Intelligence Premium

For fifty years, education was the escape hatch from the squeeze. Get the degree, get the credential, outrun the rising costs. Now artificial intelligence is repricing that escape hatch in real time—which means the old playbook for building a middle-class life is breaking. But the disruption itself is creating a new one—if you can see through the narrative forming around it.

In February 2026, a research firm called Citrini published a report titled “The 2028 Global Intelligence Crisis.” It imagined a near-future where AI agents replace software engineers, financial advisors, and middle management at a pace that creates what they called a “human intelligence displacement spiral”—a feedback loop where companies fire white-collar workers to fund more AI compute, which produces more displacement, which funds more compute. The S&P drops 38%. Unemployment hits 10.2%. A concept they called “Ghost GDP”—output that shows up in national accounts but never circulates through the real economy—takes hold.¹¹

The report went viral—27 million views. IBM dropped 13% in a single session. Michael Burry signal-boosted it. Then Ken Griffin’s Citadel Securities published a formal rebuttal, arguing Citrini fundamentally misunderstands macro adoption curves—software engineering job postings were actually up 11% year-over-year, daily AI usage at work was “unexpectedly stable,” and the historical parallel (the Engels’ Pause from the Industrial Revolution) resolved through expanding consumption frontiers, not permanent displacement.¹²

Here’s the antinarrative read: both sides are partially right and both sides are partially wrong.

The Displacement Is Real

The SaaS deflation Citrini describes is already happening. Private credit markets carry roughly 26% exposure to software deals, many leveraged buyouts of SaaS companies at valuations that assumed mid-teens revenue growth in perpetuity. Those assumptions are dying. Fitch reports private credit default rates have climbed to 5.7%, the highest since early 2024. CCC-rated borrowers in KBRA’s middle-market index hit record counts. Payment-in-kind income—where distressed borrowers pay interest with more debt instead of cash—is running at 8% of total BDC income, double pre-COVID levels.¹³ The lower middle market is showing covenant default rates above 31%.

In 2025, one in four tech layoffs cited AI as the driver. Entry-level software development roles dropped from 43% to 28% of postings. The bifurcation is stark: software and services jobs are being cut while hardware and infrastructure jobs are booming. Data center construction hit record levels—over 6.3 GW of capacity underway in primary U.S. markets—and the sector expects to grow from $275 billion to $761 billion by 2034.¹⁴

The Catalyst Stack

Now layer on the current environment. Every major stress vector is converging simultaneously.

Each catalyst alone is manageable. Together, they form the kind of convergence that produces forced selling, narrative panic, and the mispricing opportunities that only appear when the consensus is wrong. None of these catalysts are random. They are downstream consequences of the same structural dynamics we traced from the parental age data—the squeeze, the populist response, the policy volatility. If you understand the architecture, you can see the dislocations forming before the market prices them.

Narrative Dictates Price

If the system is designed to squeeze you, and the squeeze is a feature rather than a bug, then the question becomes: is there an escape route? There is. The same narrative-following behavior that makes people misunderstand why they can’t afford to start families is the same behavior that periodically misprices assets by an order of magnitude. Understanding the mechanics of the squeeze gives you the edge to recognize those moments—and act on them.

On April 20, 2020, the May WTI crude oil futures contract settled at negative $37.63 per barrel.¹⁵ Imagine walking into a Rolex boutique and the salesperson pays you to take the watch. That’s what happened to oil. Storage at Cushing, Oklahoma was 83% full. COVID had cratered demand. The narrative was unanimous: fossil fuels were finished. ESG funds were selling energy equities on principle—not because of fundamentals, but because the narrative said oil was a dying asset class.

That was the moment to buy. Not the index—specific equities where the narrative had created the widest gap between price and underlying value.

These aren’t hypothetical returns. They’re what happened when the narrative said one thing and the mechanics said another. The narrative said oil was dead. The mechanics said energy is non-negotiable, supply was being destroyed by underinvestment, and demand was going to recover. A $10,000 position in OXY at the COVID low became $128,000 at peak. That’s a down payment on a house—generated precisely because the consensus was wrong about something structural, the same way it’s been wrong about the squeeze for fifty years.

The Setup Is Forming Again

The Citrini report itself is a narrative event. It moved markets. It will be remembered as the opening salvo of whatever AI selloff comes next. When that selloff arrives—driven by the catalyst stack of Iran, oil, credit stress, government dysfunction, and midterm volatility—the consensus will form around a familiar story: “The AI bubble has popped. Private credit is imploding. The white-collar recession is here.”

Still Early

The strongest argument that AI demand is real isn’t in a research report. It’s in the experience of using it. AI is slow.

Send a prompt to a frontier model—Anthropic’s Claude Opus, OpenAI’s latest—and wait. A complex query takes thirty to sixty seconds to resolve. Claude Opus processes roughly 49 tokens per second. The fastest competing models run at 187 tokens per second. For comparison, the applications that drove mainstream internet adoption—Google search, social media feeds, streaming video—returned results in milliseconds.¹⁶

When compute rises to the level where Opus-class reasoning answers in seconds instead of minutes, that is when AI reaches its real adoption potential. Voice agents that can think before they speak. Coding assistants that iterate as fast as you can describe what you want. Medical diagnostics that run in real time during an exam. We are not at the end of the AI buildout. We are not even at the middle. The technology is immature, inference speed is the bottleneck, and the infrastructure being built today is the foundation for an adoption curve that hasn’t started its steepest ascent.

The companies that spent $600 billion on infrastructure weren’t burning cash. They were making a rational calculation: convert depreciating currency into productive assets before the government debases it further through petrodollar-war-driven stagflation, where the Fed is trapped and will eventually be forced to cut rates into rising prices. That’s not reckless spending. That’s capital allocation by people who understand what’s coming.

When the selloff comes—and it will come, because the catalyst stack demands it—AI stocks will get sold. People will say the bubble has popped. They’ll point to the credit defaults, the layoffs, the Ghost GDP. And the companies that did what they were supposed to do—build the infrastructure while the window was open—will be mispriced. Just like OXY at $6. Just like Halliburton at $4.25.

The squeeze made it harder to start a family. The populism the squeeze produced made markets more volatile. And that volatility is what creates the asymmetric opportunities that can change your family’s trajectory in a single cycle—if you understand the mechanics well enough to act when everyone else is following the narrative. The system that squeezes you is the same system that periodically hands you the escape route. You just have to know what you’re looking at.

The Pattern Is the Signal

Every generation since the mid-1970s has entered adulthood into a system that costs more, pays less in real terms, and demands longer credentialing before it lets you participate. The parental age curve doesn’t just measure when people have kids—it measures when the economy allows them to. That line has moved in one direction for half a century, and no mainstream explanation has accounted for why, because doing so would require admitting the structure itself is the problem.

But here’s what connects the demographic story to the market story: the squeeze doesn’t just produce frustration. It produces narratives. When millions of people feel a system failing them and can’t identify the mechanism, they reach for the simplest available explanation. “WTF happened in 1971” is one of those explanations. “Oil is dead” was another. “The AI bubble has popped” will be the next. The pattern is always the same: a genuine grievance gets compressed into a monocausal story, the story becomes consensus, and the consensus creates a mispricing—in policy, in markets, or in both.

The squeeze produced populism. Populism produced policy volatility—tariffs, shutdowns, fiscal expansion without productivity gains. Policy volatility is now converging with a commodity shock, a trapped Fed, and private credit stress built on assumptions that AI just repriced. When that convergence forces a selloff, the narrative will do what it always does: overshoot. The consensus will declare the AI buildout a waste, the same way it declared oil a dying asset class in April 2020. And the companies that converted cash into productive infrastructure before the window closed will be mispriced—not because the fundamentals changed, but because the story did.

That is the through-line. The same structural squeeze that pushed parental age from 21 to 28 is the engine that produces the political instability that produces the market dislocations that produce generational opportunity. The parental age curve and the OXY chart aren’t two different subjects—they’re two outputs of the same machine.

“Markets are supposed to be efficient, but efficiency breaks down when narrative replaces analysis. When an entire consensus agrees that something is dead—oil, value, an entire generation’s economic prospects—price detaches from reality. That detachment is the mispricing. And bear markets are where it gets widest, because fear is the most powerful narrative of all.” — The antinarrative thesis.