The Wrong Question Behind ‘Skills Mismatch’
This series examines a relationship that is often compressed into one alarming phrase: how formal education, usable skills, jobs, employers, and changing labour demand fit together. Its first task is to establish a practical distinction. A person can hold more formal education than a job appears to require without being unable to do the work; another person can have the expected degree and still lack skills the job demands. Readers who can tell those situations apart are better placed to interpret labour-market statistics, assess education policy, and decide what kind of response is proportionate.
The distinction matters because “skills mismatch” is not one condition waiting for one remedy. It is a family of different asymmetries observed from different vantage points. If those vantage points are mixed together, a statistic about graduates can be used to explain a vacancy, a complaint from an employer can become an argument for expanding degrees, and a forecast can be treated as if it had measured actual competence. The resulting policy may respond energetically to the wrong problem.
When “mismatch” names several different problems
Consider a graduate working in a job that does not formally require a degree. The description may indicate overeducation: the worker’s educational attainment is above the level judged necessary for the job. The comparison is between a credential and an educational requirement. It says something about the relationship between schooling and the job’s nominal entry or performance requirements, but it does not by itself say whether the worker’s abilities are being used well.
Now consider the same worker’s actual work. If they believe they could handle more demanding duties than the job provides, they may be overskilled or experiencing skill underutilisation. That is a different comparison: their usable capabilities against the skills the current job requires. Those capabilities may come from formal study, previous jobs, workplace training, or other experience. A degree is relevant evidence, but it is not a complete inventory of what the person can do.
The reverse distinctions matter too. Undereducation means that a worker’s formal education is below the level judged necessary for the job; underskilling means that their current skills do not meet the job’s demands. The two may coincide, but they need not. A worker without the conventionally expected qualification may have acquired the required competence through experience. Conversely, a degree holder may be missing a technical or organisational capability that the job actually uses.
Other forms of mismatch refer to other relationships. A graduate may work outside the field connected to their qualification, a condition often called horizontal or field-of-study mismatch. A worker’s skills may deteriorate through ageing, technological change, economic change, or prolonged underuse. An employer may report a skill gap among the current workforce. A firm may also report a hard-to-fill vacancy attributed to a skill shortage. The last two are not simply more severe versions of a worker’s degree mismatch: they are employer- and vacancy-level observations.
The distinction also applies at the national level. A lower employment rate among people in a broad education group may reflect a structural mismatch, but it may also reflect cyclical unemployment, institutions, recruiting behaviour, or characteristics not captured in the data. Educational attainment is an imperfect proxy for skill because people with similar credentials can have substantially different capabilities. An aggregate signal can identify a pattern worth investigating; it cannot, on its own, identify the mechanism.
Two axes of fit, not one ladder from “qualified” to “unqualified”
A useful starting model has two axes. The first asks: How does the person’s formal education compare with the education associated with this job? The second asks: How do the person’s usable skills compare with the skills required by the work? Both questions concern fit, but they do not measure the same object.
Even the first axis contains an important split. A qualification may be required “to get” a job because it is used as a hiring signal, while a lower level of education may be sufficient “to do” the work. The gap between those answers can point to credentialism or inflated entry requirements rather than to a genuine deficit in job capability. Conversely, a job may demand knowledge that is not captured by its formal educational label. Treating the entry credential as the full content of the job hides that difference.
The European Skills and Jobs Survey provides a clear warning against converting one axis into the other. Among workers classified as overeducated, 44% considered themselves overskilled when they were hired, while 18% considered themselves underskilled and 38% considered their skills matched to the job. Among workers classified as undereducated, 27% considered themselves underskilled at hiring. These figures do not establish a permanent ratio between education mismatch and skills mismatch. They show that the categories overlap for some workers and diverge for many others.
The same survey found that 10% of all workers were both overeducated and overskilled, while 26% were matched in education but overskilled. Only 1% were both undereducated and underskilled in that high-income EU sample. The practical implication is not that overeducation is harmless or that degrees are irrelevant. It is that a degree-based statistic cannot tell us how much capability is unused, which skill is missing, or whether the job itself is designed to use the worker’s potential.
That is why the word skills must be handled carefully. Skills are not a single amount that can be read directly from a diploma. A worker may have strong literacy and analytical ability, but lack proficiency with a newly adopted digital system. They may have the technical capacity for a role but too few opportunities to exercise problem-solving or communication skills. An overall survey response can register the experience of mismatch without identifying which component produced it.
This model also explains why a complaint about hiring cannot be read automatically as evidence that universities are producing the wrong degrees. A vacancy is an expression of demand, not proof that the available supply lacks the required skill. Recruitment difficulty may reflect pay, working conditions, location, or the employer’s recruitment strategy. A genuine shortage has a narrower meaning: demand cannot be met by available supply at market-clearing wage rates. Distinguishing those possibilities is necessary before prescribing more training or more degree places.
Why the stakes are real—and why the diagnosis comes first
The costs of mismatch are not merely semantic. The OECD’s 2026 report, drawing on the Survey of Adult Skills 2023, reports that across the EU 21% of workers are over-qualified and 25% report being over-skilled; 10% are under-qualified and 9% report being under-skilled. It also reports that over-qualified workers typically face an 11% wage penalty compared with well-matched peers in the same occupation and industry and are nearly three percentage points less likely to report high life satisfaction. Over-skilled workers earn 2% less than matched counterparts. These are substantial signals, but their meaning depends on the comparison group and on the way “matched” was defined.
The ILO’s earlier review reaches a related conclusion from a different body of evidence: surplus human capital, measured through overeducation and overskilling, has a much larger research base than some other mismatch categories, and is associated with lower wages, satisfaction, mobility, or productivity in many studies. Yet an overeducated worker can still earn more than a less-educated worker in the same occupation. A penalty relative to a similarly educated person in a better-matched job is not evidence that education itself has reduced the worker’s value.
The distinction matters for firms as well as individuals. A worker whose skills are not used may have fewer opportunities to develop them, while a worker who lacks a required capability may need training or better support. An employer facing a vacancy may need to improve the job, recruit differently, develop existing staff, or seek talent elsewhere—not simply wait for an education system to supply a credential. At the system level, a forecast that counts occupations can be useful for broad planning while remaining too coarse to say which learning outcomes a programme should teach.
The policy temptation is understandable. Shortages are visible: an unfilled post has a name, a deadline, and an economic cost. Underused capability is quieter. It may appear as a graduate in a low-level job, a worker whose problem-solving skills are never called upon, or a programme whose graduates have credentials but weak opportunities to apply what they know. The ILO review of 2016 European policy documents found that shortage language received much more attention than the evidence on surplus human capital. That finding belongs to the period and documents reviewed, but it remains a useful warning about how political visibility can shape priorities.
The central question for this series is therefore not whether education should respond to the labour market. It should. The question is what kind of evidence should guide which kind of response. A credible answer must keep credentials, capabilities, job content, employer conditions, and future demand distinct while still examining how they interact. The next step is to look closely at the two axes themselves: what a degree signal can tell us, what a skills comparison adds, and why one worker’s education and capability status can point in different directions.