
Are you matching your AI strategy to your reality?
Cyril Bouquet shows how to improve your return on AI investment by matching your strategy to your organizational reality and selecting among four different AI innovation approaches....

by Ginka Toegel Published December 10, 2025 in Brain Circuits • 4 min read
A recent study, The Cybernetic Teammate, found that “having an AI on your team can increase performance, provide expertise, and improve your experience.” One key factor is that, while human-only teams tend to work in silos, AI helps participants bridge divides between functions and roles. But if organizations roll out new technologies carelessly, people will rapidly conclude that AI is coming for their jobs. Watch out for these three potential impacts:
A sensible and clear definition of a team’s boundaries is critical to effective collaboration. Will team members willingly include AI as an additional team member, or will they attempt to exclude it? These attitudes will be central to the effectiveness of AI-powered teams.
Complex interpersonal relationships shape team dynamics. AI will process data and generate insights faster than any human teammate, but will miss the unspoken social dynamics that humans naturally detect.
Teams are subject to conflict around tasks, processes, and relationships. How will AI affect this? People might find AI difficult to work with or assume it is inherently correct. This could give rise to counterproductive resistance – or even attempts to sabotage the AI’s functioning.
Promote an experimental mindset within clear boundaries (including around privacy and bias), while going to great lengths to reassure colleagues that AI’s prime function is to help human workers, not replace them.
AI can read human emotions from facial expressions. Train it to recognize the warning signs of problems in a team, such as growing tension or emerging conflicts.
Try providing employees with access to AI principally as a personal tool. This offers them a stronger sense of control, sidestepping issues around team boundaries, emotional responses, and conflicts.
Another option is to set up AI team members as passive listeners who participate only when asked (but remember that this and the above approach constrain AI from adding maximum value).
The way we think about AI is changing fundamentally. CHROs have a key role to play in guiding its adoption to maximize its potential benefits and minimize possible adverse impact on teams.

Professor of Organizational Behavior and Leadership at IMD
Ginka Toegel is a teacher, facilitator, and researcher in the areas of leadership and human behavior. Specialized in providing one-to-one leadership coaching and team-building workshops to top management teams in both the public and private sector, her major research focuses on leadership development, team dynamics, and coaching. She is also Director of the Strategies for Leadership program and the Mobilizing People program.

April 14, 2026 • by Cyril Bouquet in AI
Cyril Bouquet shows how to improve your return on AI investment by matching your strategy to your organizational reality and selecting among four different AI innovation approaches....

March 4, 2026 • by Tomoko Yokoi, Michael R. Wade in AI
Many organizations are discovering that scaling AI is far more difficult than piloting programs. Drawing on data from the world’s largest 300 companies, the IMD AI Maturity Index reveals how the leading companies...

February 19, 2026 • by Michael D. Watkins in AI
As AI reshapes business operations, your leadership development efforts must focus on enabling humans to continue to add distinctive value. Michael D. Watkins explains how to use the 75/25% rule to guide...

February 10, 2026 • by Susanne May in AI
Forget everything you’ve heard about genius CEOs, intuition, and heroic decision-making, says Susanne May – use Jensen Huang’s radical leadership of Nvidia as a blueprint to succeed in the AI era....
Explore first person business intelligence from top minds curated for a global executive audience