AI Leadership · 4 min read
We are preparing people to work with AI the wrong way.
Many companies are teaching people how to use AI. Far fewer are teaching people how to work with AI.
There is a huge difference between using an AI tool and reimagining work around it.
“Write this email for me.”
“Summarize this document.”
“Create a presentation.”
“If I now have this capability, why should I keep doing this process in the same way?”
That second question changes AI's place in an organization. It stops being only a tool for accelerating tasks and becomes an invitation to revisit processes, decisions, productivity, creativity, autonomy, and leadership.
Transformation starts before the tool
Providing access to a new technology matters, but it is not enough. The deeper challenge is creating clarity of context, room to experiment, and safety to question practices that have always been done in the same way.
In engineering and product environments, that means looking at the complete flow of work: where the bottlenecks are, which decisions need more information, where knowledge is concentrated, and what can be redesigned responsibly.
The role of leadership is not only to put new tools in people's hands. It is to help them see new possibilities for work.
For me, that is where true AI Leadership begins: not in the isolated adoption of a tool, but in the mindset shift that enables people and teams to build a better way of working.