I recently came across an article from Fast Company on using AI to strengthen teams. It got me thinking about something I don't think we're talking about enough:
AI is incredibly good at brainstorming—but it changes the experience of it. And that matters more than we might realize.
Brainstorming Isn't Just About Ideas
From a social science perspective, brainstorming isn't simply about generating ideas. It is about how ideas form.
The original concept of brainstorming, introduced by Alex Osborn, emphasized suspending judgment, generating freely, and building on each other's ideas. That still holds up.
Research and practice over time have shown that effective brainstorming relies on several key dynamics:
- Associative thinking — one idea sparks another.
- Cognitive diversity — different perspectives create new connections.
- Combinatorial creativity — ideas are often built, not invented fully formed.
- Psychological safety — people need to feel safe enough to say something imperfect.
That last one is critical. Google's Project Aristotle famously identified psychological safety as a key factor in high-performing teams. Not simply talent. Not simply structure. Safety. And that is exactly what great brainstorming depends on.
Two Different Engines for Thinking
Human brainstorming explores possibility space through interaction. AI explores possibility space through pattern recognition. Those are not the same engine.
Human brainstorming is messy, social, iterative, and often unpredictable. But it is also where unexpected, innovative ideas emerge—sometimes from combinations of ideas that, on their own, did not seem especially promising.
There is a kind of momentum that builds in those sessions. Someone throws out a half-formed idea. Someone else builds on it. Another person connects it to something completely different. Suddenly, the group has created something none of them would have come up with alone. Sometimes what comes out of that process is not just useful. Sometimes it is unexpectedly good. Even beautiful.
AI brainstorming, on the other hand, is fast, structured, pattern-driven, and highly efficient. It is excellent at generating options and organizing thinking. It can help us get unstuck, pressure-test an idea, or find a starting point when the blank page feels too blank. But it does not replicate the shared, emergent experience of building ideas together.
Why Leaders Should Care
From an organizational leadership perspective, brainstorming serves a dual purpose. Yes, it generates ideas. But it also builds teams. When people contribute to an idea, they are more likely to support it, refine it, and follow through on it. That leads to stronger execution.
There is also a less tangible—but equally important—outcome: people leave with a sense of ownership, fulfillment, and connection. They feel heard. They see their thinking reflected in the outcome. They leave more invested in the work and in each other. Those are not soft benefits. They directly affect engagement, morale, implementation, and long-term team performance.
What's Happening in the Brain
Traditional brainstorming techniques engage multiple cognitive systems at once—not just idea generation, but the active work of connecting ideas to each other. Mind mapping forces you to place ideas in relationship. Whiteboarding invites people to literally see thinking take shape. Sticky-note exercises make ideas movable, combinable, and visible to the whole group. The tools themselves are doing cognitive work across several systems simultaneously:
- Visual processing
- Language
- Memory
- Spatial organization
- Pattern association
- Social awareness
AI externalizes much of that process. It can generate connections, structure information, reduce cognitive load, and provide a useful scaffold. That is incredibly useful. But it also means the individual—or the team—may be engaging less deeply in the act of connecting ideas themselves.
The Skills We're Developing — or Not
Human-centered brainstorming builds specific skills that are hard to develop any other way. Idea synthesis. Real-time problem solving. Collaborative thinking. Listening for possibility. Comfort with half-formed ideas. The ability to build on someone else's contribution in the moment. These are not soft skills—they are the foundational capabilities behind leadership and innovation, and they still matter in an AI-enabled world. Arguably, they matter more. Because while AI can generate ideas, humans still need to interpret them, challenge them, connect them, and decide what to do with them. The ability to think together is not obsolete. It may become one of the most important differentiators teams have.
So What Are We Optimizing For?
When we choose how brainstorming happens, we are not just choosing a tool. We are choosing an environment.
If we lean heavily into AI-first brainstorming, we gain speed, structure, and clarity. If we prioritize human-first brainstorming, we often gain more innovative, unexpected ideas, stronger buy-in, deeper engagement, and a team that knows how to think together. Neither approach is automatically better. They optimize for different outcomes.
The risk is not using AI. The risk is using AI so efficiently that we skip the human process that creates ownership, connection, and shared meaning.
A Balanced Approach
This is not an argument against AI. AI is an incredibly powerful accelerator. It can help us generate options, test assumptions, reframe problems, and explore directions we might not have considered. But if we skip the messy, collaborative layer entirely, we may get to answers faster while losing something foundational—not just in the ideas we produce, but in the teams we are building.
Final Thought
What kind of thinking—and what kind of team—do we want to develop? Because the environment we design will shape both.
Inspired by: How to use AI to strengthen teams instead of destroying them — Aytekin Tank, Fast Company, April 2026.