“We didn't refill the position.”
If you are an employer, ask yourself an uncomfortable question.
Would you refill every vacated position one-to-one today?
Or would you first check:
Which tasks can be automated?
Which can AI prepare?
Which really still have to be done by a human?
If this discussion is already taking place in your company, you are not alone.
AI doesn't fire people.
It prevents their successors.
These are not forecasts.
These are job ads, advertised today.
These numbers do not come from a study about the year 2035.
They are based on jobs for which companies are looking for people today.
A human employee can cost €75,000 a year.
Access to an AI agent can cost a fraction.
An office position at the Austrian average wage costs the employer around €75,000 a year: €58,754 gross plus employer contributions.
A business AI subscription costs a few hundred euros a year. Even heavy use through APIs usually stays at a few thousand.
No recruiting. No onboarding. No notice period. No sick leave. No holidays. No night shift bonus.
Not in this comparison: integration, quality control, the cost of errors, human oversight.
The capabilities are not identical. They don’t have to be.
They only have to be sufficient for an employer to reconsider the next hire.
Why companies don't refill.
Wages, contributions, office, equipment, training. An agent has no payroll taxes and no collective agreement.
Around the clock, no weekends, no downtime. Work that used to wait until Monday is done on Sunday night.
Ten times the requests? Ten copies, instantly. No job ad, no interview, no three-month search.
The baby boomers are retiring. Positions become vacant by themselves. And whoever can't find anyone eventually stops looking.
Not refilling is not a dismissal. No redundancy plan, no works council negotiation, no headline. Nobody has to announce it.
When a competitor delivers with half the team, a full team is a cost disadvantage. Owners and banks see it on the balance sheet.
Nobody decides to abolish people. It just gets cheaper not to hire them, every single time.
Nobody has to decide to replace humanity.
It is enough for millions of companies to make individually rational decisions.
One vacancy.
One automation.
One position not refilled.
Each decision makes sense on its own. A company has good reasons to cut costs. Its competitors respond to any productivity advantage. And no business has to account for the consequences for the economy as a whole.
The question is what happens when everybody makes the same decision.
“AI will simply make us more productive.”
Maybe.
But productivity has a second side.
If ten employees have so far done a certain amount of work, and with AI the same work can be done by six, there are two options:
The company produces considerably more with ten people.
The company produces the same with six people.
Why do we almost always talk about option A?
And here is why it could become a problem for all of us.
None of this automatically means mass unemployment. New demand, falling prices and new kinds of work can push the other way. That has happened many times before.
But who makes sure it happens again this time?
Who notices the jobs that are never created?
Who pays for pensions when fewer people earn wages?
Who decides who gets the gains?
No single company is responsible for the whole. That is exactly the problem.
Why this is unlikely to stop.
- Prices are falling. The same language-model capability gets about ten times cheaper every year.
- Capabilities are rising. The length of tasks AI agents can complete on their own doubles roughly every seven months.
- Adoption is accelerating. In the EU, 8% of companies used AI in 2023, 20% in 2025 – and 55% of large ones.
- Every successful automation raises the cost of going back. Staffing a process with people again means searching, hiring and training all over. And every resignation, every retirement, every job change is a new opportunity – and it comes every day.
The question is not whether your company will do it.
The question is whether your competitor does it first.
Sources: labour cost from OECD Average annual wages 2025 and OECD Taxing Wages 2026 · price decline: a16z, “LLMflation” (2024) · task length: METR, “Measuring AI Ability to Complete Long Tasks” (2025) · adoption: Eurostat isoc_eb_ai (2025).
Restructure, don't cut
For employers the same list is an early indicator. It shows which roles in their own organisation are shifting right now — on jobs that competitors are advertising in exactly this way today.
Those who restructure early can bring people along: recut tasks, move responsibility, build skills before pressure arises. Those who wait are later left with cuts as the only tool.
Both are in the same list. The only difference is the point in time at which you look.
Applications via the original portal
botjobs is an analysis, not an application channel. The portal does not accept applications and does not store application documents.
Every listed job links back to the portal where it is advertised. The application runs there as usual.
Nothing changes for the employer: applications arrive the same way as before. When an ad expires there, it disappears here too — the list shows the current state, not an archive.
This is the writing on the wall. The jobs in it are real.
botjobs is not a job board. It is the writing on the wall, written in today's job ads: “weighed and found wanting”, and here every single ad is weighed. Every ad listed here is advertised today, by a real company, with the task profile it wrote itself. That is exactly what makes it uncomfortable.
What is real, and what is staged
The jobs, the assessments, the numbers
- The jobs. Every listed ad is actually advertised at the time it is shown, with the task profile the employer wrote. Nothing recreated, nothing invented.
- The assessment. A language model checks every job: how much of the described core tasks an AI agent could already do today. A score from 0 to 100 with one sentence of reasoning next to it. A machine's verdict on human work, readable and disputable.
- The figures. Jobs analysed, jobs listed, the sum of advertised annual salaries: all calculated from the current stock, traceable at /api/stats.
The form in which this appears
- The role of the portal. A job board that lists jobs for AI agents, with a live counter and an interface through which machines fetch the list themselves. It acts as if this state were already normal.
- It is not yet. But the gap is smaller than it feels, and it can be measured here — with your own occupation in the search field.
- One number is calculated, not measured: the curve of the last twelve months under the AI rate. Assessment only started in August 2026; there are no measured values before that. This is also stated under the chart itself.
Maybe you will never be fired because of AI.
Maybe your successor will simply never be hired.
“We didn't refill the position.”