How Teams Evolve as AI Expands What Is Possible
- Candice McGarvey
- 2 days ago
- 1 min read
Work is changing faster than most teams realize. In some organizations, employees are beginning to manage small teams of AI assistants. In others, AI is dramatically increasing individual output while sometimes reinforcing siloed thinking rather than collaboration. As capability accelerates, the structure of teamwork is being tested, and it will require AI-enhanced teams.
We’ve seen a recurring pattern: self-paced AI learning increases individual use while unintentionally weakening team alignment. When one person moves faster than the system around them, trust and coordination lag. Output increases result in decision complexity.
February research from Harvard Business Review highlights a similar paradox: employees who feel the most anxious about AI often report using it the most yet show higher resistance and lower real commitment. Usage climbs, but buy-in erodes.
Humanistic AI shifts the objective from individual optimization to collective evolution. What would it look like for capability, trust, and structure to grow together? How must teams evolve as AI expands what’s possible?
In AI-enhanced teams, four dimensions matter:
Mindset — Do we trust ourselves and each other as change accelerates?
Capability — Are we building real AI literacy?
Process — Are decision roles and workflows clear?
Integration — Does it all come together coherently?
When one dimension advances alone, imbalance appears. When they move in parallel, leverage emerges. That’s why experiential learning matters — not just more training, but shared reflection.
During our monthly community AI Cafés, we have honest conversations about what’s working, including the “fabulous trainwrecks” that reveal hidden patterns. Join us on March 5th for an exploration of where AI amplifies tension and where it strengthens collaboration.
Comments