Understanding how to delegate requires understanding the team's desire to have more responsibilities and autonomy for a project.

I've really enjoyed this course, but my experience with the corporative thinking is that at the end of the day, if your team doesn't achieve the goals which been set by the organization, that would be a failure for you and team. The corporative culture is highly competitive and every CEO thinks of reaching to higher objective and creating more revenue for company and make the shareholders or beneficiaries happier. I still bieleive I've learnt a lot for how to manage a team but still I need to learn and understand pollicies and expectations of the leadership of company to… >>>

I've learned in order to manage a team for success, first i have to understand the human aspect of team members. Respect, dignity, and recognition. Then I have to set goals which are achievable and allow the window to adjust and optimize the goals. I learnt that communication is essential in the reaching to a desired goal. I've learnt frustration on achieving perfection could frustrate a team and make it unproductive. I've learnt that disagreements among the team members can be a productive tool for a manager, but it shouldn't get to level of verbal abuse and personal vendetta.

Comment on GERMAN POSADA's post: Beautifully summarized. Your framing captures the heart of the course — gen AI is ultimately a leadership tool, and what separates effective adoption from hype is the human judgment, ethical awareness, and emotional intelligence leaders bring to it. I love your commitment to "keeping humans in the loop" and "encouraging open dialogue" — those two practices alone will shape a healthier AI culture than any technical skill could. The focus on responsible and meaningful innovation is exactly the posture this moment requires. Thank you for sharing such a thoughtful reflection.

Comment on maria elena humphrey's post: Wonderfully said. Your point about research, teaching, and psychotherapy is a great reminder that gen AI is most powerful when paired with disciplines that already prize careful thinking and ethical attention to people. I completely agree that learning to craft effective prompts and critically analyze the results is one of the most practical takeaways from this course. That combination — thoughtful input and careful evaluation — is what separates surface-level AI use from genuine collaboration. Sounds like you'll be applying what you learned with both depth and discernment.

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… >>>

Comment on Kary Weybrew's post: Beautifully said. The language we choose in performance conversations really does shape whether the employee walks away motivated to grow or defensive and demoralized. I love how you framed it — giving everyone the opportunity to do better. When feedback is grounded in specific behaviors and their impact (rather than shaming or blaming), it becomes an invitation to grow rather than a verdict on who someone is. That small shift in wording can change the entire trajectory of a team member's development.