AI is eliminating the interruptions that build teams. Designers no longer ask researchers for insights. PMs no longer wait on designers for mockups. Engineers no longer loop in accessibility reviewers. The friction is gone, and that is the problem. MIT's Human Dynamics Lab found in 2012 that informal communication, not formal meetings, was the strongest predictor of team productivity, with the highest-interaction teams showing 35% more successful outcomes. Google's Project Aristotle studied 180 teams and found psychological safety, built through low-stakes micro-interactions, was the single biggest driver of high performance. A 2025 study from Harvard, Columbia, and Yeshiva University found AI-driven automation decreased team performance and increased coordination failures, with the sharpest drops in low- and medium-skilled teams.
The business cost is concrete. McKinsey research links lost belonging directly to attrition, estimating disengagement costs a median S&P 500 company between $228 million and $355 million annually in lost productivity. A 2024 Korean study found that weak ties, the bridging conversations with occasional colleagues, sustained innovation at tech-active companies. Breakthroughs do not come from your core team alone. They come from the people you used to bug. A separate 2026 HBR study of 1,488 workers introduced the concept of AI Brain Fry, acute cognitive exhaustion from overuse of AI tools, and found 34% of affected workers planned to quit.
The article does not argue against AI. It argues against replacing human interaction with it indiscriminately. The full piece is worth reading for its breakdown of which specific interaction types carry the most organizational risk when automated, how physical and digital workspace design can preserve connection, and where the line sits between eliminating toil and eliminating trust. If your organization is measuring AI adoption by hours saved and not by team cohesion, this piece reframes the entire calculation.
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