Harvard Business Review highlights research showing that AI does not automatically improve teamwork — and can actually undermine it. A five-month study of managers found that without intentional integration, AI tools can reduce engagement, narrow participation in meetings, and shift ownership away from the team. The post challenges the widespread organizational assumption that simply adopting AI will enhance collaboration, emphasizing that deliberate strategies are needed to ensure AI supports rather than erodes team dynamics.

Researchers at Carnegie Mellon University's Tepper School of Business are investigating how AI can strengthen human teamwork rather than replace team members. Professor Anita Williams Woolley and her colleagues developed COHUMAIN (Collective HUman-MAchine INtelligence), a framework for understanding where AI fits within organizational social psychology. The researchers argue AI should serve as a partner under human direction — facilitating connections and nudging collaboration — rather than acting as a manager or autonomous teammate. They note that while AI excels at tasks like summarizing meetings, it still can't replicate human abilities like reading the mood of a room.

Ph.D. student Allen Brown is exploring the tension between AI's collaborative potential and concerns around psychological safety and privacy. His research found that people feel more vulnerable when they believe an AI system is evaluating them, compared to being evaluated by another human, due to the loss of "mutual assumption of risk." Meanwhile, researcher Zhaohui (Zoey) Jiang is studying how AI transparency affects trust, finding that transparent AI benefits less-skilled users by helping them learn from the system's decision-making rules, while black box AI can actually be more effective for high-ability users, who tend to penalize AI mistakes more harshly when they understand the system's inner workings. Opacity, paradoxically, inflates perceptions of sophistication. The researchers suggest future AI systems may self-adapt their level of transparency to complement individual users' decision-making weaknesses.

A team of researchers from Capgemini and academia highlight the challenges of integrating AI into team settings, particularly meetings. According to a global survey of 500 executives by the Capgemini Research Institute, active use of AI in team meetings is expected to more than triple in the next three years, with leaders anticipating better outcomes and higher-quality decisions. However, the authors caution against uncritical optimism.

Their research reveals that AI doesn't automatically improve teamwork — in fact, it can have the opposite effect. Without intentional groundwork, introducing AI into meetings can reduce engagement, narrow participation, and fragment discussions, ultimately shifting ownership away from the team. The article proposes three practices to help teams integrate AI effectively, though the full details are behind a paywall. The core message is clear: organizations must be deliberate and structured in how they bring AI into collaborative workflows rather than assuming the technology will seamlessly enhance group dynamics.