In this episode, Johannes Sundlo explores a growing issue inside organizations adopting AI: the creation of an “A and B team.”
Some employees get access to AI tools, licenses, education, and experimentation opportunities. Others are left behind. Not because of role or capability, but because of interest, visibility, or who happened to push hardest internally.
Johannes argues that this is becoming one of the most overlooked leadership and employer branding challenges in AI adoption.
He discusses:
Why selective AI access creates organizational inequality
The hidden cultural risks of AI “elite groups”
Why the cost argument often falls apart under scrutiny
The chicken-and-egg problem of AI adoption
Shadow AI and the risks of unsupported tools
Why HR cannot leave this entirely to IT
How AI access is increasingly becoming a workplace infrastructure question, not an innovation experiment
This is not a conversation about hype or future speculation. It’s about what happens inside organizations right now when some employees are allowed to work with modern tools while others are expected to continue without them.
A practical reflection on leadership, fairness, AI adoption, and the future of work.
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