A colleague leaves. The position is not immediately filled. The work, however, does not wait for the replacement. Some of it goes to the person sitting nearby, some moves to the manager, some is absorbed by technology and some is divided among the team. What initially looks like temporary cover gradually becomes the way the work gets done.
Months later, the vacancy may still exist on paper. In practice, the organisation has discovered that it can live without it.
This is one way jobs disappear without anybody losing one.
Korn Ferry’s Workforce 2026 research gives the phenomenon a memorable name: the two-job job. Sixty-one per cent of more than 16,000 professionals surveyed across 11 markets say they are now performing the responsibilities of more than one role. Nearly two-thirds say their workloads have become significantly heavier over the past two years.
The obvious interpretation is that employees are being asked to do too much. There may be a larger organisational story underneath it. If substantially more work can sit inside one job, an organisation eventually needs fewer jobs to perform the same amount of work.
The job is becoming a bigger unit
Jobs have never been static. Responsibilities change, people develop and technology alters how work gets done. What appears different now is the number of forces pushing in the same direction simultaneously.
Organisations are removing layers. Vacancies are being scrutinised before they are replaced. Functions are being consolidated. AI and automation are removing parts of jobs. Employees are acquiring responsibilities that previously sat elsewhere. Each decision can make sense on its own. A departing employee’s responsibilities can be divided among three colleagues. A manager can supervise a larger team with better information. AI can eliminate hours of routine analysis. Two adjacent roles can be combined because technology has removed enough work from each to make one larger role possible.
The result is not necessarily an employee literally doing two complete jobs. It is something subtler. The unit we call a job is getting bigger.
That matters because most discussions about workforce reduction concentrate on people. How many employees were laid off? How many positions were eliminated? How many jobs will AI replace? But organisations do not necessarily need to remove people in order to reduce the number of jobs they require. They can simply create fewer of them.
“This is one way jobs disappear without anybody losing one.”
The jobs that disappear without being eliminated
Natural attrition is often described as one way organisations can reduce headcount without layoffs. But no company knows precisely who will resign or when. Waiting for people to leave is not much of a workforce strategy. What organisations can control is what happens after they do.
A resignation used to create a vacancy and the vacancy usually created a recruitment requirement. Increasingly, there can be another question in between: does this job still need to exist in its current form? Perhaps the answer is yes and the position must be filled immediately. But perhaps 20 per cent of the work can now be automated, another part can move to an adjacent role, some activity may no longer be necessary and the remainder absorbed by the team.
The employee left.
The job followed.
There is no redundancy announcement because nobody was made redundant. There is simply one fewer position than there was before.
The same thing can happen through growth. A business that once needed 100 additional employees to support a certain increase in output may now need 70. It is still growing. It is still hiring. Employment may even be increasing. But 30 jobs that would once have accompanied that growth are never created. They cannot appear in layoff statistics because nobody ever occupied them. This may become one of the least visible consequences of making jobs bigger.
“The people already inside organisations acquire bigger jobs while the people trying to enter them encounter fewer jobs.”
The entry-level problem
The effect becomes particularly important at the bottom of the organisation. Experienced employees are often best positioned to absorb broader responsibilities. They understand the organisation, know the systems and possess the judgement required to handle work that previously sat across several roles. Entry-level employees have less of that accumulated knowledge. At the same time, many of the tasks traditionally performed by junior employees are among those most amenable to automation: basic analysis, documentation, reconciliation, testing, information gathering, routine processing and first-level support.
This creates an uncomfortable possibility. The people already inside organisations acquire bigger jobs while the people trying to enter them encounter fewer jobs.
A new study by Bharat Chandar of Stanford Digital Economy Lab and Bouke Klein Teeselink of King’s College London offers an early indication of this shift. Analysing 1.25 billion job postings and 154 million employment records across 41 countries, the researchers found that companies adopting generative AI were shifting their workforce towards more senior employees. The junior share of their workforce fell by 1.9 percentage points relative to comparable non-adopting companies, driven primarily by growth in senior employment. The researchers also found suggestive evidence of modest overall employment growth.
The finding does not suggest that AI simply destroys jobs. Something more complicated may be happening. Organisations can continue to grow while changing who they need to hire. If experienced employees equipped with AI can carry broader roles, the pressure may show up less in layoffs and more in fewer opportunities being created at the bottom.
That does not mean AI has made entry-level employment obsolete. Nor does it mean every organisation will follow the same pattern. But it does expose a structural question. If organisations increasingly rely on experienced people with technology to perform work that once required larger teams, where do inexperienced people enter? The employment effect of technology may therefore prove harder to measure than the number of people it replaces. The more revealing number may eventually be the number of people organisations no longer need to hire.
“AI has saved time. The organisation has found another use for the time. Both statements can be true.”
This is not only a white-collar story
The mechanism changes once we leave the office. A factory cannot simply redistribute every departing operator’s work among the people standing beside them. Production lines have physical constraints. Machines need operators. Shifts require coverage. Warehouses need people to move goods. Trucks still require drivers. But technology can change how much work sits inside each job.
As automation takes over repetitive manufacturing tasks, operators increasingly move towards monitoring, troubleshooting and controlling more sophisticated equipment. Korn Ferry’s industrial research similarly finds technology adoption changing the skills required of manufacturing workers, with half of industrial workers surveyed saying they are not receiving the training they need for AI and automation. The job does not necessarily disappear. Its perimeter moves.
Logistics presents another version of the same phenomenon. Warehouses increasingly combine physical labour with scanners, inventory systems, automated movement and digital monitoring. Supervisors manage not only people but systems, exceptions and data. Technology allows more parts of the workflow to converge around fewer roles. There are limits to this. Physical work cannot be compressed indefinitely. A delivery still has to reach a customer. A machine still has to be maintained. Goods still have to move through a warehouse. But the relevant question is not whether these industries can eliminate people altogether. It is how many people they require for every unit of output.
A warehouse can expand considerably without employment expanding at the same rate. A more automated factory can produce more without adding workers in the proportions that an earlier generation of factory would have required. Again, nobody necessarily loses a job.
Some jobs simply never arrive.
“The people who remain acquire larger jobs. And the people who might once have entered through the jobs that disappeared never know there was a job to lose.”
Development or accumulation
There is a danger in treating every bigger job as a bad job. It is not. Broader jobs can be better jobs. An operator who moves from repetitive machine work towards troubleshooting and technical judgement may become considerably more skilled. An employee who acquires responsibility across functions may gain experience that accelerates a career. Organisations should not preserve narrow job boundaries merely to preserve headcount.
The distinction is between development and accumulation. Development changes the employee along with the job. Greater responsibility brings capability, authority, resources, recognition or progression. Accumulation simply adds. The old responsibilities remain, new ones arrive, the designation stays, the grade stays and frequently the compensation stays too. Eventually the employee is doing a job materially larger than the one the organisation thinks it employs them to do.
And that exposes another problem. Most HR systems are designed to notice formal change. Promotions are recorded. New jobs are evaluated. Restructurings redraw organisation charts. Salary bands attach value to defined positions. Role accretion can happen without triggering any of those processes. The job description reflects the role as it was designed. The employee performs the role as it has become.
Productivity or compression
There is nothing inherently wrong with needing fewer people to produce the same output. That is, after all, one definition of productivity. If technology removes unnecessary work, improves a process or allows an employee to accomplish in an hour what previously required three, the productivity gain is real. It can make businesses more competitive, create growth and eventually produce entirely new kinds of employment.
But productivity and work compression should not be confused. If ten people performed a body of work and eight now perform substantially the same work in substantially the same way, the organisation has certainly become leaner. Whether it has genuinely become more productive depends on what changed besides the number of people.
AI makes the distinction even harder to see. Technology can remove routine elements of someone’s job and genuinely create capacity. But organisations can immediately fill that capacity with responsibilities from elsewhere. Korn Ferry found that 52 per cent of workers it classifies as AI-weary say AI has actually increased their workload. AI has saved time. The organisation has found another use for the time. Both statements can be true.
When does a bigger job become a different job?
That may be the question HR systems are least equipped to answer. Not every additional responsibility requires a promotion. Jobs evolve. Employees stretch. Technology changes tasks. Temporary cover is part of organisational life. But jobs can drift surprisingly far without anybody formally acknowledging that they have changed, and the consequences extend beyond the employee performing the larger role.
A bigger job can mean one fewer replacement. Enough bigger jobs can mean a smaller graduate intake. Enough productivity can allow an organisation to grow without employment growing proportionately. None of this necessarily appears as job destruction. That is why counting layoffs may eventually tell us relatively little about what is happening to employment.
The more consequential change may happen quietly, through vacancies that are reconsidered, teams that add three people instead of five, factories whose output rises faster than their workforce and entry-level positions that are simply not opened. Companies may therefore become leaner without ever announcing that becoming leaner was the strategy. The organisation chart loses a box here and never gains another there.
The people who remain acquire larger jobs. And the people who might once have entered through the jobs that disappeared never know there was a job to lose.