Rethinking leadership development from the ground up
Artificial intelligence is now ubiquitous in learning and development, but most conversations still focus on the wrong things: speed and efficiency. Speed up content creation. automatic training. Scalable delivery.
It’s all useful, but sometimes it’s missing the point.
Leadership development is never about content. It’s about judgment. It’s about action. It’s about what someone does in moments when the answer isn’t obvious. That’s where AI is starting to become important. Not because AI will replace leadership development, but because it is forcing us to rethink how AI actually works.
Limitations of traditional leadership development
To be honest, most leadership development still follows familiar patterns: programs, workshops, and perhaps cohort experiences. People participate, learn, reflect, and go back to work, and that’s when things break down. Because leadership cannot be learned in a workshop. It’s learned in the moments when the stakes are real and the answers aren’t obvious. In the middle of a difficult conversation. When the team’s performance is low. When priorities are conflicting and there is no clear answer.
McKinsey’s research makes this even more clear. [1] As AI increasingly takes over daily tasks, the most important skills, such as judgment, adaptability, creativity, and resilience, will be the hardest to standardize. These are not from static programs.
Harvard Business Publishing found something similar. Although expectations for leaders have expanded, development approaches have not kept pace. [2] Technology alone is not enough. Organizations need leaders who know how to not only deploy AI, but work with it.
There is also growing evidence that high-performing organizations are taking a different approach to leadership development by using AI to make it more adaptive, data-driven, and scalable. But most organizations aren’t there yet. According to Training Magazine, only a small number of executives believe that their leadership development efforts are truly effective. [3]
The Center for Engaged Learning argues that AI is most effective when it supports reflection, practice, and repetition, not just content delivery. [4] Leadership development is being redesigned for the realities of AI-driven organizations.
There is a growing recognition that the real problem is not just the content itself, but the model. Leadership development has long been built around providing information, but changing behavior has not. As Aarah Touzani points out, AI is starting to change this by enabling continuous feedback and development within the flow of work. [5]
That is, people learn things, but they don’t always know how to apply them when it matters. This gap is what makes AI interesting.
Where AI can actually help (if you strip away the hype)
There’s a lot of noise around AI right now, especially when it comes to learning, but there are signals if you look for them.
First, AI is very good at appearing in the moment.
Leadership doesn’t happen on a schedule. It happens when you try to give harsh feedback, the conversation starts to go sideways, or when you try to make a phone call without enough information. AI can help with that. It helps you think about how you approach the conversation, how you structure your message, and even what’s missing. This is a big shift from learning upfront to having help available when you need it.
Second, AI enables personalization like never before.
Although personalized learning has been discussed for years, most programs are still fairly standardized. AI changes that. You can adapt the scenarios, prompts, and feedback based on the individual and the actual situation you are dealing with.
Third, AI speeds up the way we construct learning in the first place.
Generate scenarios faster. Test your ideas instantly. It can give people more opportunities to practice. AI can help you build better learning experiences faster, but it doesn’t make decisions for you.
Research is beginning to reinforce this shift, showing that AI is most effective in leadership development when it supports reflection and practice, not just content delivery.
What AI can’t do (and why it matters)
Despite its strengths, AI still has practical limitations. It can be suggested. It can be analyzed. Simulation is also possible. But it is not responsible. It doesn’t build trust. It does not address the consequences of decisions. That part is still in the reader.
Things can go sideways if you’re not careful here. It’s easy to rely on AI too much, trying to let it shape our thinking instead of using it to challenge our thinking. At that point, it’s not leadership anymore. It’s about outsourcing judgment. The leaders who make the most of AI are not the ones who rely on it the most. They know when to use it and when not to use it.
What this means for your organization
This is where things start to change a little more radically. Leadership development cannot be separated from AI if it is becoming part of how leaders actually work. It’s not just something people participate in every once in a while. It needs to show up in the flow of work.
In other words, organizations need to start thinking less about “programs” and more about systems.
You can’t just consider:
“What kind of course should we create?”
But rather:
“How can we support better decision-making every day?”
This includes things like:
Give your leaders access to the tools they actually use. We help you understand how to use AI responsibly. Prevents learning from disappearing when the program ends.
There are also more practical challenges here. Many organizations are excited about AI, but not everyone knows how to use it successfully. There is a gap between what leaders want to do and what their teams are actually capable of doing. Bridging this gap is now part of leadership development.
A real opportunity (and what’s next)
AI won’t suddenly turn someone into a better leader, but it will change the way leadership is developed. AI makes it easier to get feedback on the fly, practice more often, try different approaches, learn faster from what works, and triage what doesn’t. All of this adds up over time.
Organizations using AI tools aren’t the only ones getting this right. They will be the ones rethinking how leadership development actually fits into work. They create an environment where learning is continuous, support is always available, and development is tied directly to real-world decision-making. Because that’s where leadership actually exists.
AI is not a replacement for leadership development. If anything, AI is making leadership development more visible and even more necessary. The real change is not a shift to AI-driven leadership. The real change is something more practical: a shift to AI-powered human-centered development that helps people make better decisions when it matters.
And that’s a more useful version of leadership development. Something that actually shows up when it matters.
References:
[1] Developing leaders for the AI era
[2] AI-first leadership: Embracing the future of work
[3] The evolving role of AI in developing leaders
[4] Using generative AI in leadership development
[5] The future of leadership development with AI: A conversation with Sarah Touzani
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