Job Hugging Is a Signal of White-Collar Scarcity, Not Renewed Loyalty

Job Hugging Is a Signal of White-Collar Scarcity, Not Renewed Loyalty

The American labor market is not merely cooling; it is separating into different regimes. By July 2026, the twelve-month average quits rate across finance and insurance, information, and professional and business services had fallen to the 13th percentile of its twenty-five-year history. The comparable percentile was 44 for the rest of private industry and 71 for government, education, and healthcare. That distribution is more revealing than the aggregate quits rate. It says that voluntary mobility has become unusually scarce in the sectors that once offered some of the economy’s most attractive ladders, while labor turnover remains much closer to normal—or stronger than normal—in socially essential sectors.

The fashionable label for this behavior is “job hugging.” It sounds psychological, as if employees discovered loyalty after the Great Resignation. The economic interpretation is harsher. Most workers leave only when an outside option is sufficiently attractive to compensate for search costs, uncertainty, forfeited tenure, and the risk of a bad match. A collapse in quits therefore usually means that the option set has deteriorated. Employees are holding secure jobs because openings are fewer, hiring standards are higher, and the probability of converting an application into a superior offer has fallen.

The distinction matters for macroeconomics, corporate earnings, monetary policy, and portfolio construction. Low quits can temporarily reduce wage pressure and protect margins, but they also slow the movement of workers toward more productive matches. They can coexist with low headline unemployment and respectable payroll growth while concealing a recession in opportunity. The result is a labor market that looks stable from a distance yet feels frozen to the people inside its weakest segments.

This essay develops that diagnosis in four steps. It first explains why quits measure outside options rather than affection for an employer. It then examines why white-collar services are exceptionally weak while healthcare, education, and government remain resilient. It next traces the consequences for wages, productivity, inflation, and financial markets. Finally, it identifies the data that would distinguish a healthy stabilization from a deeper structural loss of professional mobility.

What the Quits Rate Actually Measures

A quit is an exercised option. A worker compares the expected value of remaining in the current job with the expected value of searching and moving. In a simplified form, the worker quits when `E[V_new] - C_search - C_switch > V_current`, where the costs include time, uncertainty, lost benefits, relocation, probation risk, and the possible destruction of firm-specific capital. Loyalty can affect `V_current`, but so do wages, promotion prospects, flexibility, health insurance, accumulated credibility, and fear of unemployment.

This makes the quits rate a useful revealed-preference statistic. Surveys can ask whether employees feel confident, but a voluntary separation places money and career risk behind the answer. When many workers quit, they are demonstrating that outside options are abundant or that current jobs are intolerable. When quits collapse, they are demonstrating that the hurdle for leaving is rarely being cleared. The statistic is not pure—retirement, family decisions, and measurement conventions matter—but it is among the cleanest high-frequency indicators of worker confidence.

Search-and-matching models formalize the same point. Vacancies and job seekers meet through an imperfect matching process. When labor-market tightness rises, employers compete for a limited pool of workers, contact rates improve, and job-to-job transitions accelerate. When vacancies fall relative to available labor, workers receive fewer approaches, search duration lengthens, and the expected surplus from changing jobs declines. Quits therefore move with the shadow price of outside opportunity.

The aggregate measure can still mislead because the United States does not have one labor market. A nurse in a growing metropolitan hospital, a software engineer at a mature technology company, a public-school teacher, and a junior consultant face distinct demand curves, funding structures, credential requirements, and exposure to automation. The sectoral percentile comparison strips away some of those persistent level differences and asks how unusual each sector’s current turnover is relative to its own history.

Why Historical Percentiles Matter

A raw quits rate tells us the current frequency of voluntary separation. A historical percentile tells us whether that frequency is unusual for a given sector. Formally, if `q_s` is a sector’s twelve-month average quits rate and `F_s` is its empirical distribution over twenty-five years, then the percentile is `P_s = F_s(q_s)`. The transformation does not make sectors identical, but it prevents a naturally high-turnover industry from appearing stronger merely because its level exceeds that of a naturally low-turnover industry.

The 13th percentile for finance, information, and professional services is therefore an extreme observation. In roughly seven-eighths of the historical record, quits in these sectors were higher. The 44th percentile for other industries is somewhat soft but not extraordinary. The 71st percentile for government, education, and healthcare says that quits there are relatively elevated compared with their own long history. The important signal is the gap: almost sixty percentile points separate white-collar services from the essential-service complex.

Using a twelve-month average makes the divergence harder to dismiss as noise. Monthly data can be affected by seasonal hiring, strikes, school calendars, weather, and sampling variation. A rolling annual mean responds slowly, but persistence is precisely what it captures. Reaching the 13th percentile on that basis implies not a single weak month but an extended period during which white-collar employees found unusually few reasons—or opportunities—to move.

Percentiles also demand humility. The sample includes the technology bust, the global financial crisis, the pandemic, the Great Resignation, and several expansions. Industry definitions and workforce composition changed. Yet those caveats cut both ways. Information and professional services expanded enormously over the period, and digital recruiting lowered the mechanical cost of applying. For quits to remain so depressed despite easier search technology makes the scarcity interpretation more, not less, consequential.

“Job Hugging” Is an Outside-Option Shock

The phrase “job hugging” reverses cause and effect. It implies that attachment to the current employer causes workers to stay. More often, weak alternatives increase the value of whatever security the existing job provides. A mediocre position can become valuable when the probability of replacing it falls. The behavior resembles an investor holding a liquid asset during a funding shock: the asset may not have improved, but the option value of safety has risen.

Consider a worker earning $120,000 who believes a new role would pay $132,000. If the perceived probability of securing and retaining that role is high, the expected gain may justify leaving. If hiring processes stretch to six interviews, employers cancel requisitions, and probationary employees are first in line for cuts, the risk-adjusted value changes. A 10% nominal raise may no longer compensate for a 5% probability of several months without income, lost vesting, and a worse cultural match. The reservation premium for switching rises.

This mechanism explains why employee-engagement surveys and quits can diverge. Workers may dislike management, return-to-office mandates, stalled promotion, or heavier workloads yet remain because the market price of mobility has collapsed. Retention achieved through fear is economically different from retention achieved through good management. It is less likely to generate discretionary effort, innovation, or trust, and it may unwind abruptly when outside demand returns.

The distinction also changes how investors should interpret low turnover. Lower recruitment and onboarding expense can boost near-term earnings. But involuntary stability may signal weak end demand, managerial caution, and accumulating organizational frustration. The same number—fewer resignations—can represent either a durable improvement in culture or a cyclical loss of opportunity. Sector evidence strongly favors the latter explanation in professional services.

The White-Collar Vacancy Recession

Finance, information, and professional and business services sit close to the transmission mechanism of interest rates. Higher discount rates reduce venture funding, mergers, initial public offerings, housing turnover, commercial real-estate activity, advertising budgets, consulting projects, and discretionary technology spending. Each lost transaction removes work for analysts, lawyers, recruiters, marketers, programmers, accountants, and advisory teams. Monetary restraint can therefore hit professional vacancies before it produces broad layoffs.

These sectors also hired aggressively when digital demand, asset prices, and cheap capital surged. Firms built capacity for an extrapolated future, then discovered that revenue growth normalized while compensation remained sticky. The adjustment did not need to occur through dramatic dismissals. Management could freeze requisitions, reduce campus classes, decline to replace departures, and consolidate responsibilities. Attrition normally helps execute such a plan, but once outside hiring weakens, even attrition slows. The organization becomes stable because the entire market is stable.

Vacancy compression is particularly painful for job switchers. Employers become more selective when each opening attracts hundreds of qualified candidates. They demand exact industry experience, prefer internal transfers, and postpone decisions in hope of finding a nearly riskless match. Online application systems make nominal access easier while increasing congestion. Workers submit more applications because response rates fall; firms tighten filters because application volumes rise. The process can become less effective even as it becomes more digital.

Recruiting is itself part of professional and business services, so the contraction contains a feedback loop. When clients hire less, staffing and recruiting firms lose revenue and reduce their own headcount. Fewer recruiters mean fewer unsolicited approaches and less intermediation. Because recruiters transmit information about salaries and openings, their retreat also makes workers less certain about outside values. Lower information quality raises the switching hurdle again.

AI, Organizational Leverage, and Fewer Entry Points

Artificial intelligence is not the sole cause of low quits, but it changes the economics of white-collar staffing. Many professional jobs combine judgment with structured digital tasks: searching documents, summarizing meetings, writing routine code, preparing first drafts, reconciling data, producing slides, and answering standard questions. Generative systems reduce the time required for these tasks, allowing experienced employees to support more output with fewer junior hours.

The relevant unit is the task, not the occupation. An analyst is unlikely to disappear because a model can draft an earnings summary, but a team may need three junior analysts instead of five. A law firm still needs accountable attorneys, yet document review and standard drafting require fewer associate hours. A software company still needs engineers, yet experienced developers can produce prototypes and tests faster. Occupations persist while leverage ratios change and openings shrink.

This effect can suppress quits through two channels. First, firms hire fewer external workers because existing teams can absorb more work. Second, employees recognize that moving is riskier when the receiving company is still experimenting with automation and headcount design. No one wants to leave a defensible role for a newly created position that may vanish in the next efficiency review. Technological uncertainty raises the option value of tenure.

There is a longer-run paradox. Routine tasks were not only cheap production; they were the apprenticeship through which beginners learned context, error detection, and judgment. If firms remove junior work without redesigning training, they save money today but weaken tomorrow’s senior pipeline. Human capital is expensed in accounting even when it behaves like an investment. Quarterly incentives can therefore encourage underinvestment in entry-level talent, a corporate-finance problem that may remain invisible until succession and capability gaps appear years later.

Why Healthcare Remains Different

Healthcare and social assistance recorded 542,000 quits in July 2026 and a 2.3% quits rate. Those figures do not mean the sector is effortless or universally strong. They indicate that a very large workforce continues to generate substantial voluntary movement. Persistent staffing needs, aging demographics, chronic disease, and labor-intensive care create demand that is less sensitive to transaction cycles or advertising budgets.

Much healthcare work also requires physical presence, licensing, interpersonal trust, and legal accountability. Software can assist diagnosis, documentation, scheduling, and claims processing, but a patient still needs examination, treatment, transport, feeding, or supervision. Automation may raise productivity around the clinician or caregiver without eliminating the need for local labor. That task structure makes vacancies more durable than in fully digital support functions.

Quits can remain elevated for uncomfortable reasons as well. Burnout, difficult schedules, workplace violence, low pay in care roles, and geographic mismatch push employees to seek alternatives. But the ability to act on dissatisfaction requires alternative employers. A nurse can often move among hospitals, clinics, outpatient centers, insurers, and temporary staffing agencies without abandoning accumulated credentials. Occupational portability converts dissatisfaction into actual quits.

Demographics provide a long-duration floor beneath demand. An older population consumes more health and personal-care services, and many incumbent workers are themselves approaching retirement. The sector must recruit both for growth and replacement. Even if economic activity slows, medical need does not disappear on the same schedule as a consulting engagement or software implementation. Healthcare is not recession-proof, but its demand function is differently shaped.

Education and Government: Stability With Persistent Openings

Private education recorded 72,000 quits and a 1.9% quits rate in July, while government recorded 235,000 quits and a 1.1% rate. Government’s raw rate is low relative to private industry, yet the combined government, education, and healthcare group sits at the 71st percentile of its own historical distribution. That is why within-sector context matters: a low level can still be unusually active.

Public and educational employment is governed by budgets, mandates, demographics, and political decisions rather than only by quarterly revenue. Schools need teachers when enrollment and staffing rules require them. Municipalities need public-safety, administrative, sanitation, and infrastructure workers. Vacancies can persist because hiring processes are slow, compensation is rigid, and specialized credentials or residency requirements limit supply.

These sectors also compete against private wages accumulated during the post-pandemic tightening. When public salary grids adjust slowly, experienced workers may leave for adjacent employers, different districts, contractors, or retirement. High relative quits need not imply strong productivity or generous compensation. They may indicate that institutions cannot retain enough people at administratively determined wages.

Still, the contrast with white-collar services is economically meaningful. Essential institutions cannot cancel a school year or suspend emergency services merely because the discount rate rises. Their staffing requirement is linked to population needs. This makes the current labor market a story of sectoral allocation: activity is rotating toward care and public provision while corporate-office mobility contracts.

Wage Growth and Bargaining Power

Quits matter for wages because job switching is one of the most powerful mechanisms through which workers discover their market value. Employers rarely volunteer the full wage necessary to retain every employee. Outside offers reveal scarcity, force counteroffers, and transfer labor-market tightness into compensation. When switching falls, that price-discovery mechanism weakens.

In a simple bargaining framework, the wage divides the surplus created by a match. The worker’s outside option determines the threat point. If unemployment or a long search is the alternative, the employer captures more of the surplus. If several firms are bidding, the worker can demand more. A lower quits rate is therefore consistent with slower wage growth even before unemployment rises materially.

The effect is likely strongest in occupations where pay is individually negotiated and promotion ladders are discretionary. Professionals who once moved every two or three years for higher compensation may accept smaller increases to preserve security. Bonus pools can be reduced with less fear of departures. Return-to-office rules can be tightened. Workloads can rise as vacancies remain unfilled. Each change transfers economic rent from labor toward the firm.

This is close to dynamic monopsony. Employers need not be literal local monopolists. Search frictions, noncompete norms, health benefits, location, family constraints, and asymmetric information create upward-sloping labor supply to each firm. When external vacancies disappear, those frictions become more binding. The employer gains wage-setting power because workers’ practical choice set narrows.

Productivity: The Missing Reallocation Channel

Low quits are often described as efficient because firms avoid disruption and preserve institutional knowledge. Some stability is valuable. Excessive churn wastes recruiting resources and prevents teams from compounding experience. But the relationship between turnover and productivity is not monotonic. Too little mobility traps workers in poor matches and prevents expanding firms from acquiring the talent they need.

Job-to-job movement is a reallocation mechanism. A worker changes firms when the receiving employer expects to use that worker more productively or pay from a larger surplus. At scale, such moves shift labor toward better technologies, stronger managers, faster-growing regions, and more valuable products. Research on labor-market dynamism links declining mobility with slower productivity growth and weaker wage convergence.

The white-collar freeze therefore has ambiguous measured effects. Automation and lean teams may raise output per employee inside surviving firms, producing impressive near-term productivity. Yet reduced entry and switching can lower allocative efficiency across firms. The economy may show higher within-firm efficiency while losing between-firm dynamism. Aggregate statistics combine the two and can conceal the trade-off.

There is also an innovation cost. Knowledge spreads when employees move between organizations, taking techniques and relationships with them while respecting legal obligations. New firms often recruit experienced workers from incumbents. If professionals become reluctant to move, diffusion slows and incumbents gain protection. Stability can then support margins while weakening creative destruction.

Inflation and the Federal Reserve

The collapse in white-collar quits is a disinflationary signal. Slower switching reduces wage bidding, and weaker professional demand lowers pricing power for recruiters, consultants, software vendors, landlords in office-heavy cities, and discretionary service providers. Because compensation is a large share of service-sector cost, the effect can eventually flow into core-services inflation.

But the sector split complicates monetary policy. Healthcare, education, and government wages respond to staffing shortages, regulated reimbursement, budgets, and contracts. They may remain firm after corporate hiring cools. The Federal Reserve could therefore observe declining aggregate quits without receiving equally broad relief in service prices. Composition matters: cooling in high-paid finance does not mechanically solve a shortage of nurses or teachers.

The divergence also illustrates the uneven incidence of restrictive rates. Monetary policy operates through interest-sensitive spending and asset values, so professional sectors connected to finance and investment can weaken first. Essential services financed through taxes, insurance, or demographic demand respond more slowly. A single policy rate creates multiple labor-market temperatures.

For policymakers, the mistake would be to treat low unemployment as proof that labor demand is uniformly strong, or to treat low quits as proof that inflation pressure has vanished. The proper dashboard includes vacancies, hiring, quits, layoffs, hours, wage growth, sector composition, and job-to-job transitions. A soft landing is not merely the absence of mass unemployment; it is a deceleration that preserves useful matching and broad opportunity.

Household Behavior and the Precautionary Economy

Workers who perceive fewer outside options behave differently even if they remain employed. They build cash buffers, postpone large purchases, and become reluctant to take mortgages that depend on a single salary. Confidence falls before income does. This precautionary response is one reason labor-market quantity data can lag consumer weakness.

The impact is concentrated among younger professionals and recent graduates who have less wealth, shorter tenure, and greater exposure to rent and student debt. A frozen career ladder delays wage progression, home purchases, household formation, and retirement contributions. Older asset owners may continue spending because portfolio gains offset labor anxiety, creating another divide beneath resilient aggregate consumption.

Geographic mobility also suffers. Changing cities commonly requires changing employers, while remote-work vacancies have become unusually contested. Workers stay near current offices and postpone moves to regions with better long-run matches. Housing lock-in from low fixed mortgage rates reinforces employment lock-in. Two valuable options—moving home and moving job—become jointly expensive.

The precautionary economy can be self-reinforcing. Lower discretionary spending weakens revenue for businesses that employ other workers, which further reduces hiring. The process need not become a recession if income remains stable, but it lowers the economy’s responsiveness. Households and firms both preserve options rather than commit capital.

Corporate Earnings: Benefit, Warning, or Both?

For an individual company, fewer resignations reduce replacement costs, signing bonuses, vacancy downtime, and training expense. Management can operate with lower recruiting capacity and preserve output through productivity tools. In the short run, this supports operating margins and free cash flow. Equity investors may reasonably reward the improvement.

Yet the origin of retention matters. If workers stay because the company offers superior development and culture, low turnover is an intangible asset. If they stay because the entire sector has stopped hiring, retention says little about the firm’s quality. It may even allow weak management practices to persist because employees cannot credibly exit.

Revenue exposure can dominate the cost benefit. Staffing firms, job platforms, enterprise-software vendors priced by seat, commercial landlords, consultants, and transaction intermediaries depend on professional expansion. They may suffer when clients keep headcount flat, even if their own attrition costs decline. Low quits are therefore bullish for some employers’ costs and bearish for the ecosystem that monetizes labor mobility.

Investors should distinguish genuine productivity from labor-market harvesting. A firm that uses technology to improve products, train employees, and expand output can sustain margin gains. A firm that merely leaves roles empty may report temporary efficiency while accumulating service failures, control weaknesses, burnout, and succession risk. Earnings quality depends on whether cost removal is accompanied by capability creation.

Cross-Asset and Portfolio Implications

For rates markets, depressed professional quits support the case that labor inflation is cooling beneath the headline data. If hiring and wages follow, the front end of the yield curve should eventually price less restrictive policy. But resilient essential-service employment limits the speed of that conclusion. Persistent wage pressure in healthcare or public services can keep services inflation sticky even as corporate-office labor weakens.

For equities, the pattern favors a barbell rather than a simple recession trade. Large companies with pricing power and credible automation may defend margins. Healthcare providers and selected service firms benefit from durable demand, though labor costs remain a challenge. Recruiting, staffing, office exposure, and businesses dependent on rapid white-collar formation face greater risk. Index strength can coexist with weak labor breadth because the largest firms are often the most able to substitute capital and software for hiring.

Credit analysis should focus on second-order exposure. A professional-services borrower may have stable current revenue but face falling utilization and renewal pressure. Consumer lenders should watch younger, educated households whose employment persists while income progression stalls. Municipal and healthcare credits may enjoy demand resilience yet face wage and pension burdens. The labor split does not map neatly into “risk-on” or “risk-off”; it changes relative cash-flow durability.

Portfolio managers should also resist extrapolating low wage pressure forever. If monetary easing revives transactions and corporate investment while firms have allowed recruiting capacity to atrophy, demand for scarce experienced professionals could rebound quickly. The same employees hugging jobs today may become switchers tomorrow. A low-quits regime can suppress volatility before producing a sharp repricing of labor.

Three Competing Scenarios

In the benign normalization scenario, white-collar quits are simply completing the reversal of pandemic excess. Hiring stabilizes, rate-sensitive activity improves, and firms reopen vacancies without returning to unsustainable churn. Quits rise from the 13th percentile toward the middle of their historical distribution, wage growth remains compatible with inflation goals, and essential-service staffing gradually improves.

In the prolonged freeze scenario, economic growth remains positive but professional mobility stays exceptionally low. AI and cost discipline reduce external hiring, workers protect tenure, and wage growth decelerates. Corporate margins hold up, yet entry-level scarring, weak household formation, and declining labor dynamism accumulate. This regime can be favorable for broad equity indexes while socially and economically brittle beneath the surface.

In the recession scenario, white-collar weakness proves to be an early warning. Other private industries follow as demand slows, hiring collapses, and layoffs rise. Quits in healthcare, education, and government eventually retreat as household tax bases, budgets, and elective demand weaken. The percentile gap closes for the wrong reason: every sector moves toward its adverse historical tail.

A fourth possibility is rapid reacceleration. Easier financial conditions, fiscal demand, or a new investment cycle revives professional hiring before inflation is fully controlled. Employers discover that lean teams lack capacity and bid aggressively for experienced workers. Quits, wages, and service prices rebound together. Markets currently treating low mobility as permanent would then face an unpleasant duration and margin surprise.

The Indicators That Decide Among Them

The first set of indicators concerns labor demand: sector vacancies, hires, recruiter activity, temporary-help employment, campus recruiting, internship conversion, and the share of postings requiring several years of experience. A genuine recovery should broaden entry points, not merely reduce announced layoffs. Hiring is more informative than payrolls when adjustment occurs through attrition.

The second set concerns worker outcomes: job-to-job transition rates, wage gains for switchers versus stayers, search duration, involuntary part-time work, labor-force participation, and underemployment by education. If unemployment stays low only because workers stop searching or accept poor matches, stability is cosmetic. A healthy market should improve both the quantity and quality of transitions.

The third set concerns firms: revenue per employee, workload, service quality, control failures, training budgets, internal promotion, and management commentary about automation. Rising output per worker accompanied by investment and promotion suggests sustainable augmentation. Rising output per worker accompanied by burnout, customer complaints, and disappearing junior cohorts suggests labor extraction.

Finally, analysts should watch dispersion itself. The gap between the 13th percentile in white-collar services and the 71st percentile in essential sectors is not a curiosity to average away. Changes in that gap reveal whether the economy is reallocating successfully, fragmenting into persistent winners and losers, or converging toward broad weakness.

Policy and Management Responses

Monetary policy cannot target one occupational cluster, but fiscal and institutional policy can improve matching. Better labor-market information, portable benefits, licensing reciprocity, relocation support, and apprenticeships reduce switching costs. Universities can publish granular employment outcomes and integrate domain expertise with model supervision. The goal is not to preserve obsolete tasks; it is to create credible routes from training into judgment-intensive work.

Employers should treat entry roles as investments rather than residual costs. AI can remove repetition while structured rotations, mentorship, client exposure, and verification work preserve apprenticeship. Firms that continue developing talent during a weak market can acquire strong cohorts at reasonable cost and emerge with deeper capability when demand returns.

Management should also measure regretted retention, not just regretted attrition. A low voluntary-turnover number may look favorable while masking disengagement and stalled internal movement. Internal mobility, promotion velocity, employee referrals, absence, and quality metrics can reveal whether stability reflects commitment or captivity.

For essential sectors, the response is different. Persistent quits often require better scheduling, safer workplaces, faster credentialing, training capacity, and compensation reform. Demand resilience does not guarantee organizational health. A hospital can have endless need for workers and still destroy value through chronic vacancy and burnout.

Conclusion: Stability Without Mobility Is Not Strength

The July 2026 evidence describes a sharply divided labor market. The twelve-month average quits rate in finance, insurance, information, and professional and business services stands at the 13th percentile of a quarter-century history. Other industries sit near the 44th percentile. Government, education, and healthcare stand near the 71st. Within the resilient group, healthcare and social assistance recorded 542,000 quits at a 2.3% rate, private education 72,000 at 1.9%, and government 235,000 at 1.1%.

Those numbers undermine the comforting idea that workers have rediscovered loyalty. White-collar employees are staying because attractive alternatives are scarce and the risk-adjusted switching hurdle has risen. Higher rates weakened transaction-sensitive demand, post-pandemic overhiring gave way to cost discipline, AI changed team leverage, and cautious employers made exact experience a prerequisite. Job security became more valuable because opportunity became less abundant.

The near-term effects can look constructive: slower wage pressure, lower recruitment cost, higher measured productivity, and resilient corporate margins. The longer-run costs are easy to miss: weaker bargaining power, poor matching, lower knowledge diffusion, delayed household formation, missing entry rungs, and underinvestment in human capital. An economy can avoid layoffs while still losing dynamism.

Healthcare, education, and government show that the weakness is not universal. Demographic demand, public mandates, licensing, physical presence, and persistent vacancies sustain movement there. But elevated quits in essential services may also reflect burnout and inadequate retention. One side of the economy suffers from too few outside options; the other often suffers from too many unfilled needs.

The decisive question is not whether aggregate quits are high or low. It is whether workers can move voluntarily toward better matches without accepting intolerable risk. A healthy labor market combines employment security with credible mobility. The current white-collar regime provides the first by sacrificing the second. That is job hugging’s real message: stability created by scarcity is not strength, and a labor market that cannot move will eventually struggle to grow.