On paper, adulthood should be arriving later than ever, and arriving in better condition than ever.
Young adults today are, on average, the most schooled cohort in human history. They hold more credentials than their parents did, command more information than any generation before them, and operate tools that would have read as miracles a few decades ago. They spend longer in formal education and emerge into a world whose productive capacity dwarfs anything humanity has previously assembled.
And yet the milestones that once marked a finished adult keep sliding out of reach. Home ownership comes later, if it comes. Marriage is postponed. Birth rates have fallen beneath replacement. Independence is acquired slowly, partially, and late. The doors are visible. Reaching them has become the difficulty.
In the shallow lakes that once ringed Mexico City lives a creature that declines to grow up. The axolotl is a salamander, and like most salamanders it begins life as a gilled, aquatic larva. Unlike most salamanders, it never leaves that stage. It feeds, matures, and breeds while keeping the feathered external gills and soft body of a juvenile. Biologists call the condition neoteny: the retention of larval form into reproductive adulthood. The axolotl is, in the most literal sense, a permanent adolescent. It is perfectly capable of becoming an adult salamander. It simply never receives the signal to do so.
That signal is a surge of thyroid hormone, which in most amphibians is set off by the environment: a drying pond, a shift in chemistry, the pressure to find dry land. The axolotl evolved in deep, stable water where that pressure never arrived, so its metamorphic machinery sits intact and idle. Supply the hormone in a laboratory and the animal will, belatedly, transform into a land-dwelling salamander. Withhold it, and the creature lives out its life in the only body it has ever worn.
This essay is about a generation in much the same position. Not biologically, but economically. A cohort fully equipped for adulthood, suspended in warm and stable water, never receiving the signal to change.
Call it economic neoteny.
Not adolescence in the developmental sense, and not a failure of individual nerve. Economic neoteny is a structural condition: a prolonged retention of dependency, deferral, and provisional status well past the age at which earlier generations had completed the passage to independence. The body is adult. The economic form is not.
We tend to diagnose its symptoms one at a time. Housing becomes a housing problem. Fertility becomes a demographic problem. Loneliness becomes a mental-health problem. Youth joblessness becomes a labour-market problem. Examined together, they look less like four separate ailments and more like one organism that has quietly stopped metamorphosing.
The Pond that will not drain
The evidence is not subtle.
In the United States, the median age at first marriage has climbed almost without pause for seventy years. In 1956 it touched its modern floor, 22.5 years for men and 20.1 for women.[1] By 2025 it had reached 30.8 for men and 28.4 for women, up from 23.5 and 21.1 as recently as 1975.[2] An entire decade of life has been inserted between leaving school and the altar.
Figure 1. The receding altar: median age at first marriage in the United States, 1950 to 2024.
The household data points the same way. In 2025, some 58% of American adults aged 18 to 24, and 16% of those aged 25 to 34, were still living in a parental home.[3] During the summer of 2020 the share of all 18 to 29 year-olds living with their parents reached 52%, around 26.6 million people, the highest figure ever recorded. The previous peak, 48%, dated to the 1940 census at the close of the Great Depression; the low, 29%, came in 1960, after which the line has risen more or less steadily.[4] The pandemic did not create the trend. It merely revealed how full the pond already was.
Europe tells the same story with sharper regional accents. Across the EU in 2024, the average young person left the parental home at 26.2 years.[5] The spread, however, is enormous. In the Nordic countries the water drains early: Finland at 21.4, Denmark at 21.7, Sweden at 21.9. In the south and east it barely drains at all: Spain at 30.0, Italy at 30.1, Greece at 30.7, Slovakia at 30.9, and Croatia at 31.3. Housing is the obvious culprit. Nearly one in ten young Europeans now lives in a household that spends 40% or more of its disposable income on shelter, a heavier burden than the population at large carries.[6]
Figure 2. How long the pond holds them: average age of leaving the parental home across the EU, 2024.
And then the most consequential deferral of all. Across the OECD, the total fertility rate has fallen from 3.3 children per woman in 1960 to 1.5 in 2022, well beneath the 2.1 needed merely to hold a population steady. In Italy and Spain it sits at 1.2; in South Korea, around 0.7. The average woman who does have a child now does so at 30.9, against 28.6 at the turn of the century.[7] A generation that cannot establish itself does not, on the whole, reproduce itself.
Each figure describes a different door. Together they describe a single antechamber, and a pond that refuses to drain.
It would be a mistake to read these as purely financial statistics. A milestone deferred is not only an expense postponed; it is a form of selfhood postponed. The job that does not arrive withholds more than income. It withholds structure, routine, responsibility, a place among colleagues, and the particular dignity of being depended upon. A generation suspended between dependence and autonomy is left neither children nor fully independent adults, and the psychological residue of that suspension, the drift, the disillusionment, the sense of being perpetually almost, is not a separate crisis from the economic one. It is the same condition viewed from the inside.
The Ladder that manufactured Adults
For most of economic history, the transition we are now failing to complete was not left to chance. It was engineered.
England’s Statute of Artificers, passed in 1563, made the point with Tudor bluntness: no person could practise a trade until he had served a seven-year apprenticeship, bound by written indenture, in most cases until the age of 24.[8] The seven years were not merely instruction. They were a slow, supervised manufacture of competence. The master absorbed the cost of the novice’s blunders; the guild guaranteed the standard at the end; and society accepted that an apprentice would produce little of value for years before he produced anything worth selling. The arrangement was rigid, hierarchical, and often exploitative. It was also, in its way, a reliable machine for converting children into adults.
The twentieth century built a faster and broader version of the same machine. In the decades after the Second World War, a compressed and remarkably dependable sequence took hold across the developed world: education, then a job that paid enough to live on, then a home, then a family, frequently before thirty and sometimes well before. The 1956 marriage trough was no accident; it was the demographic signature of an economy in which a single income could secure a house and a young worker could expect his employer to train him. Cheap mortgages, expanding firms with internal promotion ladders, veterans’ education subsidies: these were the warm, shallow waters in which adulthood formed on schedule. The system was unequal and exclusionary in ways we rightly no longer accept. But it metamorphosed people on time.
Labour markets, in other words, used to perform a function we rarely name. They did not only allocate workers. They produced adults. Banks trained analysts; law firms trained associates; hospitals trained residents; newsrooms trained reporters; universities trained researchers. No one started as an expert. Competence was a by-product of being tolerated, for a while, as a beginner, of being permitted to be useless on the way to becoming useful. The ladder mattered as much as the destination, because the ladder was where the metamorphosis happened.
The first crack in that ladder appeared not with the robots but with the paperwork. As more young people earned degrees, employers began treating the degree first as a convenient filter and then as a flat requirement, for work that had never needed one. The economists Joseph Fuller and Manjari Raman documented the phenomenon in a 2017 Harvard Business School study tartly titled Dismissed by Degrees. In 2015, they found, 67% of American job postings for production supervisors demanded a college degree, while only 16% of the people actually doing that job held one. The proportion of secretaries with a bachelor’s degree had tripled, from 9% in 1990 to 33%. By their estimate, credential inflation had placed roughly six million middle-skill jobs out of reach of anyone without a diploma.[9]
The effect was to lengthen the larval stage itself. More years in school, more debt, a later start, for tasks the schooling did not actually require. The pond grew deeper before anyone quite noticed the water was rising.
Credential inflation → delayed entry to work
Delayed entry → delayed income
Delayed income → delayed independence
Delayed independence → delayed adulthood
The Vanishing of the Beginner
This is where artificial intelligence enters, and it enters from an unexpected direction.
Most of the public argument about AI and work concerns displacement in the aggregate. Will it take the jobs? The World Economic Forum’s Future of Jobs Report 2025, drawing on more than a thousand employers across 55 economies, offers the familiar, reassuring arithmetic: 92 million roles displaced by 2030, 170 million created, a net gain of 78 million, set against a churn equal to 22% of the world’s 1.2 billion formal jobs.[10] On that ledger the machines are net creators of work. The IMF, for its part, estimates that around 40% of jobs worldwide are exposed to AI, rising to roughly 60% in advanced economies, where about half of the exposed jobs may be harmed rather than helped.[11]
But the aggregate conceals the structure, and the structure is the whole point. Consider which tasks generative AI performs most fluently today. Summarising documents. Drafting first versions. Conducting preliminary research. Reviewing records. Organising information. Writing routine code. These are not, for the most part, the tasks of the expert. They are the tasks of the beginner. They are the apprenticeship layer itself.
For the whole of industrial history, automation climbed the ladder from the bottom: it took the rungs of physical drudgery first and left cognitive work for last. Generative AI has inverted the climb.
Industrial automation → the lowest physical rungs first
Generative AI → the lowest cognitive rungs first
It is strongest precisely at the entry-level cognitive work through which novices have always become professionals. It does not, at least not yet, replace the senior analyst. It replaces the work the junior analyst was hired in order to learn on.
The first hard evidence is already in. In 2025, researchers at the Stanford Digital Economy Lab analysed payroll records covering some 25 million American workers and published their findings under a pointed title, Canaries in the Coal Mine? Since late 2022, when generative tools became widely available, early-career workers aged 22 to 25 in the most AI-exposed occupations had seen their employment fall by 13% relative to the rest of the workforce, even after controlling for firm-level shocks. In the hardest-hit fields, software engineering and customer service, entry-level employment dropped by roughly a fifth. Older workers in those very same occupations saw their employment hold steady or grow.[12]
Figure 3. The ladder loses its bottom rung: employment change in the most AI-exposed occupations, United States, since late 2022.
The asymmetry is the finding. The senior workers are protected not by seniority alone but by tacit knowledge, the kind of practical understanding that is learned on the job, never written down, and therefore absent from the text on which the models were trained. Bank of America’s researchers flagged a related milestone: for the first time in recent memory, the unemployment rate for recent graduates has risen above the rate for the workforce as a whole.[13] The IMF’s managing director, Kristalina Georgieva, put the asymmetry plainly at Davos, observing that the tasks AI removes first are largely the ones entry-level jobs are made of.[14] The canary in the coal mine is not the economy. It is the beginner.
From Unemployment to Unemployability
Here the vocabulary we have inherited begins to fail us.
Mustafa Suleyman, among others, has argued that the deeper risk is not unemployment but unemployability.[15] The distinction is not rhetorical. An unemployed worker possesses skills for which demand has temporarily lapsed; the cure is a recovering market. An unemployable worker never acquired the skills in the first place, because the rungs on which they were once acquired have been sawn off. The first is a market problem, and we have centuries of practice managing market problems. The second is a developmental problem, and it is far less tractable, because it strikes at the very mechanism by which competent adults are manufactured.
Recall the axolotl. Its metamorphic machinery remains perfectly intact; it simply never receives the trigger. A generation can be in exactly that state: chronologically adult, formally credentialed, fully capable of becoming an accomplished professional, and yet never handed the sequence of beginner tasks through which accomplishment is actually built. The capacity is present. The signal is missing.
And competence, once it stops being produced, is not easily restocked. The senior professionals who currently anchor every field were themselves manufactured by an apprenticeship system that is now quietly closing behind them. Tacit knowledge passes from one cohort of practitioners to the next only if there is a next cohort in the room to receive it. Remove the juniors for a decade and the shortfall does not stay an entry-level shortfall. It ages upward, into a missing tier of mid-career expertise that no model can supply, because the humans who would have held that expertise were never permitted to begin.
The political arithmetic is worth stating too, because societies are not infinitely patient. A cohort that has done everything it was told to do, accumulating the credentials, deferring the family, postponing the home, and still finds the doors narrowing, does not stay quiescent forever. Thwarted expectations are among the most reliable raw materials of unrest. An economy that produces qualifications faster than it produces the means to use them is, over a long enough horizon, manufacturing not only frustrated individuals but a frustrated electorate. The cost of a stalled metamorphosis is paid first by the young and eventually by everyone.
The Hormone that never comes
The institutions whose task is to watch these things are, in their measured way, sounding the alarm.
The WEF reports that 39% of workers’ core skills are expected to become outdated between 2025 and 2030, and that 63% of employers already name the skills gap as their single greatest barrier to transformation. The OECD records that across its member states roughly 13% of people aged 15 to 29 are not in employment, education, or training, a figure that runs to one in five or worse across much of southern Europe; the EU rate stood at 11.0% in 2025, still short of the bloc’s 9% target for 2030.[16] Georgieva has likened the arrival of AI in the labour market to a tsunami. The metaphors are piling up, and they are all metaphors of water.
None of this guarantees catastrophe. History is littered with confident forecasts of technological unemployment that adaptation quietly falsified. New industries appeared; old professions evolved; human ingenuity outran the pessimists again and again. But adaptation has always required a pathway, and a pathway requires that beginners be allowed to exist long enough to turn into something else. The question is not whether technology advances. It will. The question is whether our institutions can refill the conditions under which a beginner can still become an expert.
What induces metamorphosis in an axolotl is a change in its surroundings: the water recedes, the chemistry shifts, the body finally receives the instruction to grow into its other form. The economic equivalents are not mysterious. Housing that an ordinary single income can actually reach. Entry-level work that builds skill rather than merely extracting cheap labour or being automated out of existence. Training arrangements, modern indentures of a kind, that once again make it somebody’s explicit business to manufacture the next cohort of adults. Family formation that does not first demand a decade of deferral. These are the triggers. Their common feature, at present, is absence.
It is worth keeping the cautionary half of the analogy in view. When biologists force metamorphosis on an axolotl by injecting the hormone directly, the animal does transform, but the abrupt change frequently shortens its life. Transitions imposed without the supporting environment tend to go badly. The remedy for economic neoteny is therefore not to shove a generation through the door by decree, with lectures about grit or a sudden withdrawal of support, but to restore the conditions under which the change occurs on its own.
The Warm Water
The most serious challenge posed by artificial intelligence may, in the end, have very little to do with intelligence.
It may have to do with becoming.
For as long as there have been crafts, societies have maintained machinery for turning dependent novices into independent adults: the guild, the indenture, the post-war ladder, the entry-level desk. The machinery was never fair and never gentle. But it ran, and people came out the other side changed. Economic neoteny is the name for what happens when that machinery is allowed to idle. Not a sudden collapse, not a crisis with a date attached, simply a generation that keeps its larval form because nothing in its environment ever tells it to do otherwise.
The danger does not announce itself. There is no alarm. The water stays warm, the credentials accumulate, the milestones recede one quiet year at a time. The doors are still there. The gills are still feathered. And metamorphosis, perpetually available, keeps not arriving.
The pond is not draining on its own. The only question is whether we intend to drain it.
[1]U.S. Census Bureau, Estimated Median Age at First Marriage, by Sex (Table MS-2). The modern low of 22.5 years for men and 20.1 for women was recorded in 1956.
[2]U.S. Census Bureau, Families and Living Arrangements, Current Population Survey (ASEC) 2025. Median age at first marriage of 30.8 (men) and 28.4 (women), against 23.5 and 21.1 in 1975.
[3]Same source: in 2025, 58% of adults aged 18 to 24, and 16% of those aged 25 to 34, lived in a parental home.
[4]R. Fry and J. S. Passel, A majority of young adults in the U.S. live with their parents for the first time since the Great Depression, Pew Research Center, September 2020. The July 2020 figure of 52% (26.6 million) surpassed the prior peak of 48% in the 1940 census; the series low was 29% in 1960.
[5]Eurostat, When do young people in the EU leave home? (dataset yth_demo_030), 2024 data. EU average 26.2 years; Croatia 31.3, Slovakia 30.9, Greece 30.7, Italy 30.1, Spain 30.0; Finland 21.4, Denmark 21.7, Sweden 21.9.
[6]Eurostat, Young people, housing conditions, 2024: 9.7% of those aged 15 to 29 lived in households spending 40% or more of disposable income on housing, against 8.2% of the total population.
[7]OECD, Society at a Glance 2024. Total fertility rate down from 3.3 children per woman (1960) to 1.5 (2022); 1.2 in Italy and Spain; about 0.7 in Korea (2023). Mean age at childbirth 30.9 (2022), up from 28.6 (2000).
[8]Statute of Artificers 1563 (5 Eliz. 1 c. 4); see A short history of apprenticeships in England, UK Parliament. Compulsory seven-year apprenticeship, generally to age 24; repealed in the early nineteenth century.
[9]J. B. Fuller and M. Raman, Dismissed by Degrees, Harvard Business School, Accenture and Grads of Life, October 2017. In 2015, 67% of production-supervisor postings sought a degree against 16% of incumbents; secretaries holding a bachelor’s degree rose from 9% (1990) to 33%; roughly 6 million jobs judged at risk of degree inflation.
[10]World Economic Forum, Future of Jobs Report 2025. 92 million roles displaced and 170 million created by 2030 (net +78 million), a 22% churn of 1.2 billion formal jobs; survey of more than 1,000 employers across 22 industry clusters and 55 economies. Also: 39% of core skills expected to be outdated by 2030; 63% of employers cite the skills gap as their leading barrier.
[11]International Monetary Fund, Gen-AI: Artificial Intelligence and the Future of Work, January 2024. About 40% of jobs worldwide are exposed to AI, rising to roughly 60% in advanced economies (40% in emerging markets, 26% in low-income economies); about half of exposed jobs in advanced economies are likely to be negatively affected.
[12]E. Brynjolfsson, B. Chandar and R. Chen, Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence, Stanford Digital Economy Lab, 2025. A 13% relative decline in employment for workers aged 22 to 25 in the most AI-exposed occupations since late 2022 (about 20% in entry-level software and customer service), against stable or rising employment for older workers in the same fields; based on ADP payroll records covering some 25 million workers.
[13]Bank of America Global Research, cited in coverage of the Stanford study: the unemployment rate for recent graduates has risen above the overall rate for the first time in recent memory.
[14]K. Georgieva, International Monetary Fund, remarks at the World Economic Forum, Davos (2024 and 2026), describing AI’s labour-market effect as resembling “a tsunami” and noting that the tasks eliminated first are largely those of entry-level work.
[15]M. Suleyman, The Coming Wave (2023) and subsequent public remarks, on the prospect of widespread unemployability rather than mere unemployment.
[16]OECD, Youth not in employment, education or training (NEET), and Education at a Glance: roughly 13% of those aged 15 to 29 across the OECD are NEET, rising to one in five or more across much of southern Europe. The EU rate was 11.0% in 2025, against a 2030 target of 9%.