Over the past few years, AI has started to influence almost everything, from the way we search for information to how we make decisions at work. As someone deeply involved in Agile practices, I keep asking myself: What will Agile Project Management look like once AI becomes fully integrated, if it hasn’t already started to happen?

Here’s how I think things are going to change, especially when it comes to Agile leadership, Scrum, Kanban, including Evidence-Based Management.

Agile leadership may shift from control to guidance

I see Agile leaders evolving from hands-on facilitators to more strategic guides. With AI helping to analyze data in real time, spot patterns, and even predict risks, leaders will be able to make decisions based on clear insights, not just instinct.

But what won’t change is the human part: empathy, active listening, and team motivation. In fact, these will matter more than ever as AI takes care of the repetitive, logic-based tasks.

Scrum events are likely to get smarter

Imagine this: during sprint planning, an AI assistant suggests optimal backlog items based on past team performance, capacity, and velocity. During Daily Scrums, it gives a summary of team progress and flags issues automatically. At Sprint Reviews, it provides data-driven insights on what features actually delivered business value.

In my opinion, Scrum Masters won’t be replaced, but they will be AI-supported, free to spend more time helping the team grow rather than managing status reports. The heart of the role remains human, such as facilitating the team, removing blockers, coaching, but AI tools help them do it better, by providing data, automating reports, spotting risks early, etc.

Kanban may evolve into a Smart System

Kanban boards are already a powerful way to visualize work, but I think they’ll soon become predictive tools. AI will help forecast delivery times, flag bottlenecks before they form, and even adjust WIP limits dynamically based on how the team is actually performing.

In other words, Kanban will stop being just a mirror of our work—and start becoming a smart advisor we can learn from in real time.

But one thing won’t change: People come First

Even though AI can do a lot, it can’t replace what makes Agile truly powerful: people. Collaboration, creativity, team spirit, these are human things. AI will be a partner, not a replacement.

AI + Agile = Huge Potential

The way I see it, the future of Agile isn’t about replacing people with machines, it’s about combining the best of both worlds. AI can handle data and complexity. Humans bring meaning, direction, and connection.

If we embrace that balance, Agile won’t just adapt in the age of AI, it will reach a whole new level.