The hidden problem inside AI teams isn’t skills — it’s the human environment
A few weeks ago, an SME CEO shared his frustration with me over coffee. His company had invested heavily in AI tools over the past year. Licences were purchased. Teams attended workshops. Managers were instructed to integrate AI into workflows. Like many businesses today, the organisation moved quickly because it feared falling behind. Yet despite […] The post The hidden problem inside AI teams…
An SME CEO expressed frustration over his company's uneven adoption of AI tools despite significant investment. Junior employees quickly embraced AI, while senior staff remained cautious. The CEO acknowledged that the problem lies with his people, but a deeper issue emerged. AI is redefining the human environment in which decisions are made.
It acts as an active participant, summarising discussions, generating recommendations, and influencing outputs — a role previously unanticipated. Most businesses still view AI as a passive tool, yet it increasingly shapes thought formation. This shift aligns with the "Expertise Paradox," where experts, despite possessing deep domain knowledge, are slower to adopt AI due to their heightened sensitivity to inaccuracies and overgeneralisation.
A new trend, "vibe teaming," blurs the line between human and AI collaboration, leading to faster outputs but potentially flattening nuanced viewpoints and compressing disagreements. The real challenge lies not just in equipping employees with AI skills, but in understanding and designing the human systems that support their use.
The future may not be about how well people use AI, but about creating decision environments that protect and preserve human expertise amidst the rapid pace of AI-driven collaboration.
Written by urgent.news from e27's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
