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People feel less threatened by being replaced by AI than by being replaced by another human. That counterintuitive finding is the thread Stefano Puntoni pulls through this episode, and it has direct consequences for how you announce an AI programme.
Who is on this episode
Stefano Puntoni is a professor and researcher working on the psychological impact of AI in the workplace: what it does to well being, motivation and retention, rather than to headcount models. This conversation is the applied version of that research.
What they covered
The first half is about the disruptions companies do not see because they are not looking for them. An AI deployment lands on three things people need in order to stay motivated: their sense of competence, their autonomy, and their relatedness to the people around them. A rollout can satisfy every business case and still damage all three, and nothing in a standard adoption dashboard would show it.
The narrative question gets specific attention. If the story told internally is a cost cutting story, the organisation hears it as a story about who is next, and morale moves accordingly. Stefano's point is not that efficiency is illegitimate. It is that the framing is a real variable with real effects, and most leaders treat it as packaging.
The second half is practical. What does a psychologically supportive implementation look like in detail, and which skills are genuinely AI proof? His answer leans on creativity and ethics, the capabilities that get harder to automate rather than easier, and he is clear that building them is something a company has to start now rather than when the gap becomes obvious.
Key insights
- The comparison that stings is human, not machine. Being outperformed by a colleague is a bigger threat to people than being automated, which should change how you communicate a rollout.
- Audit the rollout against competence, autonomy and relatedness. Those three are what motivation actually rests on, and AI can erode all of them silently.
- A cost cutting narrative has a measurable cost of its own. The story you tell internally is part of the implementation, not the wrapper around it.
- AI proof skills are the ones that get harder, not easier: creativity and ethical judgement. Build the bench before you need it.
- Retention risk from AI shows up in psychology before it shows up in attrition, which means the lagging indicator is the one most companies are watching.
Watch the full conversation on YouTube, or listen to the audio version on Apple Podcasts.
