Business Insights: Global Markets, Strategy & Economic Trends
Key takeaways
- AI reliance reduces informal knowledge exchange, eroding team coordination and shared responsibility.
- Less interaction with colleagues weakens trust and cuts mentoring and on-the-job skill development.
- Siloing emerges as employees seek answers alone, limiting collective problem solving and reducing adaptability.
- Leaders must set policies so AI augments rather than replaces human collaboration and preserves knowledge-sharing routines.
A surgical team, a spacecraft crew, and your senior leadership team are each held together by something surprisingly intimate: a shared sense of who’s responsible for remembering what. Even close couples run on the same system. One partner can scale back their memory in a particular domain where their spouse has expertise. Based on this insight, the late social psychologist Dan Wegner originated the concept of “transactive memory systems.” Groups of people build a shared understanding—a system for who knows what—that works because each person can rely on the other’s expertise to coordinate daily life.
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