Artificial intelligence is changing how quickly decisions are made within organizations, but there are signs that it makes an impact on the architecture of decision-making itself. That was the central argument from Prof. Dr. Michael Gerlich, head of the Center for Strategic Corporate Foresight and Sustainability at SBS Swiss Business School, during a recent Future Talent Council webinar hosted by Director-General Daniel Kjellsson.
Gerlich's warning is that AI systems increasingly shape what information leaders see, how options get framed and which outcomes appear most reasonable. In this scenario, human judgement can become quietly outsourced. While leaders may feel in control, the cognitive groundwork for their decisions may already have been shaped by algorithmic interpretation.
The fix isn't to slow AI adoption, said Gerlich. Business leaders should aim to design organizations where human reasoning stays active rather than passive. This means leaders retain the capacity, and the responsibility, to interrogate AI-generated recommendations rather than accept them as given. "What we need now is that organizations redesign how decisions are made, not only how data is analyzed," according to Gerlich. "Rather than assuming that AI automatically improves decision quality, leaders must intentionally design processes that preserve human oversight and responsibility."
Gerlich calls that approach "decision resilience," and he frames it as a strategic capability that is as important as any efficiency gain AI can offer. For HR leaders thinking about leadership development, governance and the long-term health of their organizations, that reframe matters. Speed is not the right metric, according to Gerlich.
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