Beyond AI Support
AI has firmly arrived in HR departments. It speeds up screening, automates routine tasks, and generates interview guides. All measurable. All useful. But is it enough?
In a recent feature for Germany’s leading HR publication, Human Resources Manager (Issue 2/2026), I explore a question that is uncomfortable but unavoidable: what remains of HR once everything automatable has been automated? Here is the short version – the full analysis is available in the magazine.
The support trap
Payroll, time tracking, leave management, reference letters, applicant screening, reporting, onboarding – virtually all of this is automatable today. And yes, AI does it faster and better than any manual process ever could.
But there in lies the trap. Organisations that treat AI purely as a support tool for existing processes end up reinforcing structures that may themselves be the problem. Process optimisation is the surest way to preserve a structure that may have long been obsolete.
What organisations actually need
What companies lack most urgently is not faster administration. It is the ability to make sound people decisions – across the entire employee lifecycle.
The evidence is sobering. The majority of employers have experienced bad hires. Interviewers frequently form judgments within minutes. Unconscious bias significantly affects hiring decisions. In talent development, data-driven foundations are often missing. When it comes to retention, HR tends to be reactive rather than predictive.
The structural paradox is clear: HR holds the expertise, but others make the decisions. Hiring managers and leaders who are domain experts but rarely trained in interpreting diagnostic information or recognising cognitive bias. AI as a support tool for HR changes nothing about this paradox.
Decision Intelligence: bringing expertise to the point of decision
This is where AI must outgrow itself. Away from doing the legwork, towards Decision Intelligence: the systematic design of decision processes that integrate data analysis, behavioural science, and context-sensitive presentation.
Consider a practical example. Instead of delivering abstract personality scores to a hiring manager, a Decision Intelligence system provides context-specific recommendations – tailored to the team’s current dynamics and the role’s specific requirements. It generates individualised interview questions based on diagnostic findings. The manager does not receive a diagnosis. They receive actionable guidance that makes their conversation better.
The same logic applies to talent development, retention, and workforce planning. AI does not deliver reports – it generates concrete discussion prompts, detects early warning signals, and models scenarios. Right at the point of decision.
What blocks the shift: FOBO and FOBW
Beyond institutional hurdles – such as the design of works council agreements, a particularly pressing topic in 2026 across Europe – two psychological barriers stand in the way.
FOBO – Fear of Becoming Obsolete. The anxiety within HR teams that automation will render them redundant. As long as HR remains in the support role, this fear is rational. A support function that can be automated will be automated.
FOBW – Fear of Being Wrong. The reluctance of decision-makers to take responsibility for choices guided by technology they do not fully understand. Research shows that adoption depends less on model accuracy than on the design of the decision process. Systems that leave the final word with the user, explain their reasoning transparently, and allow for corrections lower FOBW substantially. Decision architecture beats model accuracy.
What remains of HR – and why it is more
Once administration, screening, and reporting are automated, what remains is precisely what machines cannot do. Designing decision architectures. Translating diagnostics into action. Bridging technology and employee representation. Reading culture, understanding dynamics, and building systems where human and artificial intelligence amplify each other.
AI will not replace HR. But it will replace the HR that settles for the support role. The function is indispensable. The form must change. And anyone waiting for technology to come to HR has already missed the moment to shape it.
This article is based on “Nach dem KI-Support” by Prof. Dr. Florian Feltes, published in Issue 2/2026 of Human Resources Manager (cover theme: “Support”). The full-length version is available in the magazine.
Prof. Dr. Florian Feltes
Prof. Dr. Florian Feltes is co-founder and co-CEO of zortify and a forerunner in AI-supported HR innovation. Together with his team, he develops intelligent personality diagnostics and helps companies identify the perfect candidates—without expensive assessments and without bias. His vision: a world in which every company can effortlessly form high-performance teams and create work environments that allow human potential to flourish.
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