Sometimes the best candidate on your shortlist isn鈥檛 a person. It鈥檚 an AI agent. The rule of thumb: if the work is repetitive, rule-based, and fully digital, the agent wins. If it takes judgment, relationships, or handling exceptions, the human wins. And usually the honest answer is both, in a different ratio than the job description suggests.
That鈥檚 a strange thing for a recruitment agency like Renforza to say out loud. We make money on placements. Which is exactly why it鈥檚 worth saying: teams that take both options seriously make better calls than teams that open a role on autopilot.
Why is this question suddenly on the table?
Because the labor market is forcing it. According to CBS, the Dutch national statistics office, nearly half of companies with staffing shortages now name automation or AI as their primary countermeasure in 2026. Not hiring more, not paying more, but redesigning the work. At the same time, CBS data for 2025 shows adoption is lopsided: 66.2 percent of large companies use AI, versus 29.8 percent of mid-sized businesses and 13.8 percent of micro businesses. Big companies are already asking the question in this headline. Smaller ones often haven鈥檛 asked it yet.
That鈥檚 a shame, because asking costs nothing. Before you post an open role, you can answer it in half an hour.
Which work does the agent win, and which does the human win?
Don鈥檛 look at the job title. Look at the tasks underneath it. Three traits make a task agent-friendly:
- Repetitive. It shows up dozens or hundreds of times a week in nearly the same shape. Processing invoices, moving data between systems, answering templated email.
- Rule-based. You can write the decision rules down. If a colleague could teach the task to a temp in one afternoon, an agent can probably learn it too.
- Digital. The task lives entirely in software. No physical steps, no hallway conversations, no phone calls that require tact.
On the other side sit the traits where people win: judgment under incomplete information, relationships built on trust, exceptions that don鈥檛 fit any rule, and accountability. That last one isn鈥檛 a footnote. An agent can鈥檛 be accountable, legally or practically. Air Canada was ordered to honor a discount its own chatbot invented, as Forbes reported. Wherever money, contracts, or customer relationships are at stake, a human belongs in the loop.
What does an agent cost compared to a hire?
Full disclosure up front: the numbers below come from companies that sell agents, so read them as vendor claims, not independent research. Providers in the SMB segment report one-time build costs of 1,500 to 25,000 euros plus 200 to 600 euros a month in upkeep. Vendor SlimIQ claims an administrative FTE runs 35,000 to 45,000 euros a year, versus 1,800 to 6,000 euros a year for an agent doing the same work.
Even if you cut those claims in half, the gap is real. But the maths has a flip side that rarely makes it into the quote: a field report from Project NANDA at MIT said 95 percent of the organisations studied saw no rapid GenAI P&L impact. That is not a universal failure probability, but it is a warning. An agent that fails cheaply still fails. Weigh the low price against a real chance the project delivers nothing, and against everything a good employee does that was never in the job description.
What happens to the rest of the role?
This is the question most analyses skip. Almost no role is 100 percent agent-suitable. Automate the repetitive slice and you鈥檙e left with a remainder: the exceptions, the customer contact, the judgment calls. That remainder is often the most valuable part of the job, but it鈥檚 rarely a full-time job on its own.
You鈥檝e got three options. Spread the remainder across the existing team. Reshape it into a smaller or different role, say a mid-level hire instead of a senior, or part-time instead of full-time. Or discover the remainder was the actual bottleneck all along, and that鈥檚 precisely where you want to hire a strong person. Klarna learned this lesson at scale: its AI assistant performed work equal to roughly 700 FTE according to the company, while it later reinvested in human support for complex conversations. The answer wasn鈥檛 human or machine. It was a different split.
Why can Renforza say this with a straight face?
Most advice in this debate comes from parties with one product. An automation shop thinks automation is the answer. A staffing firm thinks staffing is the answer. Renforza places both: people into permanent roles and AI agents as the third candidate on your shortlist. We earn the same kind of fee either way, so we鈥檝e got no incentive to push the outcome in one direction. If the answer is a person, we run the search the way we always do for employers. If the answer is an agent, we鈥檒l tell you that even if you walked in holding a job description.
That鈥檚 not modesty. It鈥檚 self-interest done right. A placement that doesn鈥檛 fit, human or agent, costs us reputation and costs you money.
Start with the tasks, not the title
Want to know how this plays out for your open role? List the tasks, mark what鈥檚 repetitive, rule-based, and digital, and look at what鈥檚 left. If no clear answer falls out, we鈥檒l look at it with you in a no-obligation intake. Sometimes that conversation ends with a candidate, sometimes with an agent, and surprisingly often with both.
