One Million NEETs and Counting — Jobs Are Disappearing, So Why Does the UK Keep Telling Young People to Get More Training?
Summary
The UK's NEET count reached 1,012,000 in Q1 2026, breaking the one-million threshold for the first time since 2013, and the evidence points overwhelmingly to structural demand collapse in entry-level employment rather than any deficiency in young people's work ethic or qualifications. Since 2005, roughly 1.6 million low- and medium-skill jobs have disappeared from the UK economy, and from mid-2024 to early 2026, employment among workers under 35 contracted by approximately 220,000 while employment among workers over 35 grew by 110,000 — a generational divergence that supply-side training programmes are constitutionally incapable of addressing. According to the Milburn independent review, the cumulative annual cost to the country of having nearly one million NEET young people stands at £125 billion — encompassing lost economic output, reduced tax revenues, and increased welfare and healthcare expenditure — a burden that exceeds the entire UK education budget and threatens the long-term viability of the welfare state. Resolution Foundation's analysis finds that demand-side weakness explains just over half of the NEET increase since 2019, yet successive governments have persisted with training-focused supply-side prescriptions, perpetuating a fundamental mismatch between the real cause and the policy response for over a decade. Globally, the ILO reports 262 million young people aged 15–24 are in NEET status as of 2025, and a McKinsey survey found 51% of firms have already cut entry-level hiring because of generative AI, marking this crisis not as a uniquely British failure but as a structural signal that labour markets worldwide are systematically eliminating the first rung of the career ladder.
Key Points
Entry-Level Job Demand Has Structurally Collapsed
The UK government's own snapshot report documented a 14% year-on-year decline in entry-level hiring through April 2026, with declines recorded across 30 of the 38 entry-level occupations tracked. Junior software engineers are down 27%, junior graphic designers down 28%, trainee accountants down 29% — precisely the occupational categories where AI capabilities have advanced most rapidly. Since mid-2024, employment among workers under 35 has contracted by approximately 220,000, while employment among workers over 35 grew by 110,000 during the same period, revealing a labour market that is selectively shedding young workers rather than contracting uniformly. The Milburn review documented that 1.6 million low- and medium-skill jobs have vanished since 2005, and hospitality vacancies have fallen by 50% since 2022, closing off the pathways that historically provided first-job entry for large numbers of young people. Total vacancies fell 7.1% year-on-year — some 54,000 fewer openings — leaving just 0.4 vacancies per active jobseeker, a ratio that makes supply-side training programmes structurally incapable of solving the problem because the fundamental shortage is on the demand side, not the supply side.
A Decade of Supply-Side Policy Has Failed to Reverse the Trend
The government's repeated prescription for NEET has been more training, better coaching, and improved job-seeking support, but this approach produces fiercer competition for a shrinking pool of positions rather than expanding economic opportunity for young people. Resolution Foundation explicitly rated the claim that NI increases and minimum wage rises are the "first-order explanation" for NEET growth as "unconvincing," while finding that demand-side weakness explains just over half of the NEET increase since 2019. Milburn's review found that for every £1 spent on youth employment support in 2024/25, £25 was spent on welfare benefits — a ratio of 1:25 between prevention and remediation that reveals the deep structural inefficiency of the current approach. Apprenticeship starts have declined 35% over the past decade, and three-fifths of the apprenticeship levy budget currently flows to workers aged 25 and over, meaning the main active-labour-market instrument is misdirected away from the youngest and most vulnerable cohort. The UK's 18-to-21 vocational education completion rate of 22% trails Germany, the Netherlands, and Denmark's 35% — not because young people refuse to engage with training, but because the system design is inferior and decoupled from genuine employer demand.
Mental Health and Labour Market Exclusion Form a Bidirectional Feedback Loop
The surge in inactivity among young people due to disability and long-term illness — up from 2.8% in 2019 to 4.2% by 2025, a 52% rise — is frequently cited as the primary driver of NEET growth, but University of Stirling research published in June 2026 demonstrates that the causation runs in both directions. An unstable, exclusionary labour market actively worsens mental health outcomes, and deteriorated mental health then increases NEET probability, creating a self-reinforcing cycle that cannot be broken by mental health services alone. Health Foundation data shows that the proportion of NEET young people reporting work-limiting conditions rose from 26% in 2015 to 44% in 2025, a period that also coincides with the structural erosion of entry-level job supply, and youth depression in Scotland rose from 1.3% in 2000 to 15.7% in 2023, tracking the decline of accessible youth employment. Professor David Bell of the University of Stirling stated directly that unemployment, underemployment, and an unstable labour market may be contributing factors to young people's crisis and that you cannot treat one in isolation from the other. The policy implication is that addressing mental health without simultaneously addressing job scarcity is an incomplete prescription — and that creating accessible employment may itself be the most powerful mental health intervention available.
The National Cost of 1,012,000 NEETs Is £125 Billion Per Year
The Milburn independent review — a government-commissioned, authoritative source — calculated the cumulative annual cost to the country of having nearly one million NEET young people at £125 billion, covering lost economic output, reduced tax revenues, increased welfare and healthcare expenditure, and broader indirect costs. CEBR separately computed the annual productivity loss from the NEET cohort at £5.1 billion and the annual tax revenue loss at £1.8 billion, with the difference between these figures and the £125 billion reflecting the wider scope of indirect national costs captured by the Milburn methodology. The lifetime gross value added loss for an individual whose employment is delayed until age 25 is estimated at £450,000, and for sustained NEET status the maximum lifetime earnings loss reaches £300,000 per person. Milburn framed the question not as whether the country can afford to intervene but whether it can afford not to — and the arithmetic of a £125 billion annual bill makes the case for preventive demand-side investment more compelling with every passing year. The fiscal mechanics are straightforward: paying £25 in welfare for every £1 invested in youth employment is not a funding problem, it is an allocation problem that could be resolved through redistribution of existing budgets.
International Comparisons Show the Problem Is Solvable Through Policy Choice
The Netherlands maintains a NEET rate of 5% against the UK's 15%, and Resolution Foundation calculates that achieving Dutch performance levels would bring an additional 600,000 young people into work or education. Germany, Denmark, and the Netherlands all record 18-to-21 vocational education completion rates of 35%, more than 10 percentage points above the UK's 22%, and the common design element is a dual-track system that embeds workplace experience into formal education through employer partnerships rather than treating training as a purely institutional activity. The UK currently ranks third worst in Europe for youth NEET rates, and the gap with high-performing peers has been documented and quantified in detail rather than merely acknowledged in general terms. The ILO notes that over 110 countries are on track to meet SDG 8.6 targets, demonstrating that good labour market outcomes for young people are achievable through deliberate policy choice rather than structural inevitability. The key insight from international comparisons is not that other countries are culturally different in ways that prevent replication — it is that the UK has persistently declined to adopt proven approaches, and reversing that choice is the single most tractable near-term policy lever available.
Positive & Negative Analysis
Positive Aspects
- The Crisis Has Been Formally Diagnosed as a System Failure, Not a Youth Failure
The Milburn independent review's declaration that "this is a system failure, not a youth failure" represents a landmark shift in official policy framing that opens the door to responses aimed at structural causes rather than young people's individual attributes. For years, the dominant policy narrative placed responsibility on young people's skills deficits, resulting in training-heavy supply-side interventions that left demand-side drivers entirely unaddressed; the formal acknowledgment that the system itself is malfunctioning is a prerequisite for prescriptions to change direction. The government's commissioning of an independent review and publication of an interim report signals that the political system has moved beyond denying the scale of the problem. ONS data confirming that 84% of NEET young people want to work or access training has now been embedded in official policy documents, providing a quantitative foundation that permanently undermines the lazy-youth narrative in future legislative debates. Milburn's warning that the question is not affordability but sustainability — anchored by the £125 billion annual cost figure — has reframed the public finance case for intervention from discretionary social spending to urgent fiscal risk management.
- Cost-Effective Policy Instruments Are Already Identified and Quantified
Resolution Foundation's research establishes that £1 invested in apprenticeships for 19-to-24-year-olds generates £13–15 in public benefit, nearly double the £7 return for those over 25, providing a precisely quantified, empirically grounded case for redirecting existing resources toward the youngest cohorts. Targeted employment subsidies have been shown to outperform broad tax relief in cost-effectiveness, and since three-fifths of the current apprenticeship levy budget flows to workers aged 25 and above, a substantial reallocation is achievable without any new fiscal commitment — only a political decision to change the distribution formula. NEF's proposals for demand-side investment in green infrastructure, housebuilding, and NHS and social care staffing identify sectors that are simultaneously starved of workers and resistant to AI substitution, allowing entry-level job creation to solve multiple national crises at once. The benefit-cost arithmetic is unusually clear: against a £25 welfare spend for every £1 of employment support, almost any well-targeted active labour market investment looks favourable on a net present value basis. The analytical groundwork for a policy shift is fully complete; what remains is translating research consensus into actual budget allocations.
- Proven International Models Provide an Immediately Replicable Blueprint
The Netherlands' 5% NEET rate, Germany's dual-track vocational system, and Denmark's high-participation school-to-work framework all demonstrate that NEET rates significantly lower than the UK's are achievable through policy choice, not economic luck or cultural exceptionalism. Resolution Foundation's calculation that matching Dutch performance would bring 600,000 additional young people into work or education provides a concrete, quantified ambition rather than a vague aspiration, and the mechanisms for achieving it are documented and well understood. These dual-track systems, combining formal classroom learning with employer-sponsored workplace placement, have operated for decades and been refined through iterative policy development; the UK would be adopting a proven product rather than betting on an untested experiment. The fact that the UK currently ranks third worst in Europe for youth NEET rates while higher-performing peers operate in largely comparable economic and technological environments makes the performance gap difficult to attribute to anything other than policy design differences. The practical pathway is clear: pilot dual-track programmes in high-NEET regions, use apprenticeship levy reallocation to fund employer participation incentives, and scale successful models within a five-year horizon.
- 84% of NEET Young People Are Ready to Engage If Opportunities Are Created
The finding that 84% of NEET young people want to work or access training is one of the most policy-relevant statistics in the Milburn review, because it means the demand for improvement already exists among the affected population — the barrier is the supply of accessible opportunities, not a motivational deficit that policy must somehow engineer away. Six in ten current NEETs have never held any employment, up from four in ten two decades ago, and this growth in the never-employed NEET share reflects the narrowing of entry pathways rather than a generational decline in work ethic. When the entry barrier is structural rather than attitudinal, supply-side adjustments can produce rapid responses: if accessible, quality entry-level jobs are created, the pool of willing candidates is already proven to exist at scale. The high engagement willingness also dismantles the political argument against investment — the moral hazard objection that support for NEETs will reward idleness does not survive contact with data showing eight in ten actively want to participate in the economy. A policy architecture that creates genuine demand-side opportunity is therefore likely to show measurable impact relatively quickly, since willingness to engage is demonstrably not the limiting factor.
Concerns
- Scarring Effects Are Already Accumulating and May Prove Irreversible for Millions
UCL's 1970 British Cohort Study, tracking over 8,000 individuals from age 16 to 51, found that men who spent two to three years NEET in youth face triple the probability of unemployment at age 51, while those with sustained NEET histories face a sixfold increase in midlife inactivity or unemployment risk. Impetus data shows being NEET at 18 or 19 raises unemployment probability a decade later by 20%, with health deterioration three times more likely and psychological distress twice as common as in peer groups who found entry-level employment. The maximum estimated lifetime earnings loss per person is £300,000, and with one million current NEETs — a significant share of whom have already accumulated multiple years of inactivity — much of the cohort-level scarring is already in progress and will not be fully reversed even by successful policy reform. The deeper implication is that current policy failures are not creating a recoverable problem for future administrations to address — they are embedding permanent disadvantage into the life trajectories of an entire generation. Acting quickly matters not just for economic efficiency but for the basic reason that every additional quarter without demand-side intervention is another quarter of irreversible damage accumulating at scale.
- AI Automation Is Actively Eliminating the Entry-Level Roles That Would Otherwise Absorb Young Workers
A McKinsey 2025 survey found that 51% of companies have already reduced their need for entry-level hires because of generative AI, and 2030 projections suggest over 14% of the global workforce will need to change occupations entirely as AI capabilities continue expanding. The sectors showing the steepest entry-level job declines — software engineering at minus 27%, accountancy at minus 29%, graphic design at minus 28% — are precisely those into which graduates were being redirected as traditional blue-collar entry routes declined, meaning the labour market has removed the backup option at the same time as the primary one. Historically, automation eliminated blue-collar manufacturing roles; the current AI wave is eliminating the first rung of white-collar career paths, which had previously been treated as automation-resistant because they ostensibly required human judgment. The result is that even a well-designed vocational training system or expanded apprenticeship programme may produce qualified young people with no employers willing to hire at entry level, because AI is making the cost-benefit calculation for junior hiring progressively less favourable over time. This structural dynamic does not pause for policy reform cycles, which makes the timeline for effective intervention critically short.
- The Fiscal Feedback Loop Constrains the Political Space for Preventive Investment
OBR projections indicate welfare expenditure will grow by £91.5 billion by 2030/31, with disability and long-term illness benefits alone reaching £73.4 billion — equivalent to 2% of GDP — creating a growing fiscal burden that crowds out the very preventive investment that would reduce welfare dependency in the first place. For every £1 currently allocated to youth employment support, £25 is spent on welfare payments, and as welfare costs rise the fiscal pressure to cut discretionary spending intensifies, making it politically harder to increase the preventive £1 at precisely the moment when doing so would provide the highest return. Milburn's £125 billion annual NEET cost is not a static figure; under the base case scenario it compounds annually as the current cohort's scarring deepens and new cohorts enter the NEET pipeline without structural improvements in entry-level job availability. The political economy is structurally adverse: the costs of inaction are diffuse, long-term, and spread across multiple budget lines, while the costs of preventive investment are concentrated, immediate, and politically visible. Breaking the feedback loop requires a government willing to absorb short-term fiscal pain for long-term structural gain — a form of political courage that has historically been in short supply in UK economic policymaking.
- Class and Geographic Inequality Concentrate the Crisis Among Those Least Equipped to Navigate It
Young people from the lowest-income households face a 3.5 times higher probability of being NEET than those from the most affluent backgrounds, and this class disadvantage compounds with geographic, health, and educational disadvantages in ways that create multiplicative vulnerability rather than simple additive risk. Blaenau Gwent, Wales, has 7.6 vacancies per 100 jobseekers while Windsor has 58 — a nearly eightfold difference — and the North East has NEET rates more than 50% above London's, illustrating that economic geography is doing as much as any individual characteristic to determine young people's futures. Access to subsidised childcare — a critical enabler of labour market participation for young parents, predominantly young women — stands at just 11% for the poorest households compared with 85% for the wealthiest, structurally blocking NEET exit for a substantial segment of the most economically vulnerable young parents. Young people who combine low income, geographic disadvantage, special educational needs, and caring responsibilities face NEET probability nearly three times higher than peers without those compounding factors, creating a population for whom generic national policy interventions arrive too diluted and too late. The structural perversity is that those who would benefit most from an effective entry-level job supply are simultaneously least likely to reach it when that supply is inadequate and access barriers remain highest.
Outlook
Looking at the next six to twelve months, I think the honest assessment is that NEET numbers are unlikely to improve dramatically in the near term. For entry-level hiring to recover meaningfully, businesses would need substantially changed incentive structures — and with employer NI running at 15% and minimum wage obligations still elevated, those cost pressures have not eased. My expectation is that the Q3 and Q4 2026 ONS releases will show NEET nudging upward toward the 1,050,000–1,080,000 range. Hospitality vacancies have dropped by 50% since 2022, apprenticeship starts have fallen 35% over the past decade, and the structural pipelines through which young people historically entered work are narrowing, not widening. A 50-employee SME absorbing an extra £23,000–£25,000 in annual labour costs is not likely to choose this moment to take on an inexperienced new hire.
The critical near-term variable is the Milburn review timeline. The interim report landed in May 2026; the final report with formal policy recommendations is expected in late 2026 or early 2027. If those recommendations are accepted and backed with budget commitments, they could initiate a genuine shift in policy architecture — but there is invariably a 12-to-18-month lag between publication and real-world implementation. Even if the final report arrives on schedule, frontline impact would not realistically be felt before mid-2027 at the earliest. In the meantime, every quarter that passes adds to the scarring burden accumulating among long-term NEETs, and UCL's research makes clear that the longer NEET status persists, the more durable the lifetime damage becomes.
The optimistic medium-term scenario — the bull case — imagines the government accepting Milburn's demand-side recommendations in full and acting with genuine speed. Targeted employment subsidies for 19-to-24-year-olds, reallocation of apprenticeship levy funding away from over-25 workers, and direct investment in green infrastructure, housebuilding, and NHS staffing could meaningfully shift the supply of entry-level jobs within two to three years. Resolution Foundation's modelling shows that £1 invested in apprenticeships for young people yields £13–15 in public benefit, making the fiscal case compelling if political will is present. If vocational education participation is driven from 22% toward the Netherlands-Denmark-Germany benchmark of 35% through dual-track system pilots, the structural job entry pipeline could begin recovering by 2028–2029. Under this scenario, NEET might fall back toward 900,000–950,000 by 2029 on a sustainable downward trajectory.
The base case — the scenario I consider most probable given historical precedent — involves partial reform at insufficient scale and speed. The government is likely to announce enhanced training budgets and some targeted subsidies, but the structural mismatch between supply-side emphasis and demand-side deficit will not be fully corrected. AI automation continues eroding entry-level hiring across technology, financial, and professional services without meaningful policy counteraction. Mental health services improve incrementally but cannot break the bidirectional feedback loop while job opportunities remain scarce. Under this scenario, NEET hovers in the 1,000,000–1,100,000 range through 2028, with marginal fluctuation tied to macroeconomic cycles. As OBR-projected welfare costs climb — disability and illness benefits alone reaching £73.4 billion, equivalent to 2% of GDP, by 2030/31 — fiscal pressure mounts and the government faces a vicious squeeze: welfare costs crowd out the very prevention investment that would reduce welfare dependency. This is the structural trap that makes the base case so frustrating: the solution is known, the path to financing it gets harder the longer reform is delayed.
The bear case is genuinely alarming. McKinsey's finding that 51% of companies are already reducing entry-level hiring due to AI does not capture a static moment — it captures an accelerating trend. If the occupational displacement currently concentrated in software, accounting, and design spreads into marketing, legal support, financial analysis, and customer operations, entry-level jobs become an endangered category across entire segments of the professional economy. Under this scenario, NEET could approach 1.25 million by 2031 — Milburn's own projection — and in the worst case could exceed 1.5 million if the mental health feedback loop deepens while structural reform stalls. Youth depression in Scotland has already risen from 1.3% in 2000 to 15.7% in 2023; under continued labour market deterioration, exceeding 20% is plausible. The self-reinforcing cycle — job scarcity worsens mental health, worsened mental health makes employment harder to secure, longer NEET spells deepen scarring, deeper scarring reduces lifetime economic contribution — becomes progressively harder to break the longer it runs without structural intervention.
Looking further out, two to five years, the stakes extend beyond employment statistics into the long-run sustainability of the welfare state itself. The young people who are NEET today are the taxpayers of the 2030s and 2040s. If a significant share of the current cohort remains in precarious or inactive labour market status through their thirties, the tax base that funds NHS services, state pensions, and social care will be correspondingly weaker. CEBR's calculation of £5.1 billion in annual productivity loss and £1.8 billion in annual tax loss represents only the immediate costs; the lifetime GVA loss per individual delayed from employment until 25 is estimated at £450,000. Accumulated across one million people over five years, that represents a generational economic scar measured in hundreds of billions. UCL's finding that extended NEET experience in youth predicts six times the midlife inactivity rate is a thirty-year warning: the crisis being inadequately addressed today becomes the pension and healthcare shortfall of the 2050s.
I'd argue that a genuine solution requires three simultaneous levers rather than any single fix. The first is direct demand-side intervention: targeted employment subsidies for young workers, reallocation of the apprenticeship levy budget toward under-25 cohorts, and public investment in sectors where AI substitution is least feasible — care, construction, and environmental services. The second is structural reform of vocational education: closing the gap between the UK's 22% completion rate and the 35% benchmark set by Germany, Denmark, and the Netherlands, built around dual-track systems that embed workplace learning into formal education from the start. The third is designing new entry-level career pathways fit for an AI-augmented economy — defining what junior roles look like when routine analytical tasks are machine-handled, and building qualification frameworks around those redefined positions. Resolution Foundation calculates that reaching Dutch NEET levels alone would bring 600,000 additional young people into work or education; that is not a dream, it is a replication exercise.
One further long-term risk deserves explicit naming: tax base erosion. Pensions and NHS services operate on an implicit intergenerational contract — today's workers fund today's retirees. If the cohort now NEET is still in precarious employment or economic inactivity when they reach their thirties and forties, that contract frays. The fiscal arithmetic of an ageing society combined with a hollowed-out entry-level workforce is deeply unfavourable. The burden of sustaining public services falls on a narrower productive base, which means either higher taxes on those in work, reduced services for everyone, or accelerating national debt. None of these outcomes are politically neutral, and all of them originate in policy choices — or avoidances — being made right now.
Globally, the trajectory is equally concerning. ILO data shows more than 50 countries are deteriorating on NEET metrics. The 2023 female NEET rate of 28.1% against 13.1% for men could widen rather than narrow as AI-driven automation concentrates its displacement effects on clerical and administrative roles where women are disproportionately represented. In developing economies that previously competed on the basis of young, low-cost labour, AI-enabled production in higher-income countries could eliminate export-oriented manufacturing before domestic service sectors are capable of absorbing displaced workers. The British crisis is a leading indicator for what is coming globally, not an isolated anomaly.
My final assessment: the 18 months following the Milburn final report will reveal whether the UK is prepared to treat this as the structural emergency it demonstrably is. If demand-side investment is launched at scale — levy reallocation happens, green infrastructure and housing programmes prioritise entry-level hiring, dual-track vocational pilots are funded — then the one-million figure can be reversed within five years and the scarring trajectory of the current cohort can be interrupted. If the response amounts to enhanced training budgets and more CV workshops, the one million will be a footnote to a two-million story. Eighty-four percent of the young people behind that number want to work. They do not need to be told to want it harder. They need the chairs put back.
Sources / References
- Young People and Work: Interim Report — Gov.uk (DWP)
- NEET UK: May 2026 — ONS
- Lost in Transition (2026) — Resolution Foundation
- Measuring what matters: NEET vs youth unemployment — ILO
- Being NEET in early adulthood has scarring effect on midlife — UCL News
- How AI is and isn't changing the future of work — McKinsey
- Youth mental health deepening, labour market could be to blame — University of Stirling
- Why are a growing number of young people who are NEET reporting work-limiting conditions — Health Foundation
- Over 1 million NEETs — What to do next — New Economics Foundation
- NEET: Young People Not in Education, Employment or Training — UK Parliament (Commons Library)
- A Snapshot of Entry-Level Hiring in the UK — Gov.uk
- Rising youth inactivity could cost the economy £5.1 billion a year — CEBR