One thing I’ve learned again and again, especially in the age of AI—is that innovation doesn’t happen without safety. If your team doesn’t feel safe to try, test, mess up, and learn, they’ll wait for permission instead of taking initiative.
And here’s the thing: most people aren’t resisting AI because they’re lazy or behind—they’re afraid. Afraid of getting it wrong. Of looking unqualified. Of wasting time. That’s where we, as leaders, have to shift the culture.
Here’s how I’ve approached creating safe spaces for experimentation on our team:
🔹 Celebrate process, not just outcomes. When someone tries something new, even if it flops—we talk about what they learned. Not every AI test will be a win. But every attempt is a step toward clarity, insight, or progress. Make that visible.
🔹 Model imperfection. I try to regularly share something I’m experimenting with—especially the messy parts. Whether it's a prompt that completely missed the mark or a tool I still don’t fully understand, naming my own learning curve helps others feel more comfortable in theirs.
🔹 Create structure for low-risk testing. We carve out space for low-stakes trial and error. Maybe it’s 20 minutes on a Friday where a teammate shares something they tested with ChatGPT, or a simple "Experiment of the Week" highlight in Slack. The goal is to normalize the trying, not just the winning.
🔹 Acknowledge courage. Trying something new takes guts. I make a point to thank people for stepping up and being curious. That kind of effort needs to be seen, especially early on, when momentum is still building.
A few questions to bring to your team this week:
- What’s one thing you’d love to try—even if you’re not sure it’ll work?
- Where do you feel pressure to “get it right” instead of just starting?
- How can we create more room for trial, error, and shared learning?
Safe spaces aren’t soft, they’re strong. They’re what allow teams to stretch, explore, and grow together. Let’s build that kind of culture one small experiment at a time.