This course reshaped how I think about generative AI as a leader. The biggest shift for me was recognizing that AI adoption isn't primarily a technology challenge — it's a leadership challenge. The tools are powerful, but the real work is helping people navigate change, building a learning culture, and bringing emotional intelligence to transitions that stir both excitement and fear. I was especially struck by David De Cremer's phrase "AI adoption with a human touch" — a reminder that the leaders who will shape this era aren't necessarily the most technically advanced, but the ones who keep humanity at the center.
Moving forward, I want to model curiosity and hands-on learning for my team rather than waiting until I feel "expert enough" to engage. I want to listen first — meeting each team member where they are as skeptics, learners, dabblers, or adventurers — and communicate a clear "why" tied to our mission of serving students. I also want to adopt the habit of structured experimentation — hypothesis-driven, measurable, and reflective — rather than casual dabbling. Most of all, I want to bring critical evaluation and ethical discernment to every AI output, remembering that AI amplifies human expertise; it doesn't replace it. The leaders who guide AI with wisdom, ethics, and context are the ones who will thrive in this new landscape.
