AI can increasingly support planning, risk analysis, monitoring, reporting, documentation, and decision preparation.
At the same time, organizations are becoming more adaptive, authority is increasingly distributed, and teams are expected to operate with greater autonomy.
So perhaps the real question is not which Project Management tasks AI can automate.
It is:
What organizational problem continues to exist even when many of those tasks no longer require a Project Manager to perform them?
In my latest article on new ways of working in projects, I explore this question through the project as a temporary organization and propose that the Project Manager's contribution may be shifting from primarily managing execution toward helping preserve its adaptive viability.
This has implications for strategy translation, decision-making, boundary spanning, organizational sensing, and human-AI collaboration.
If planning, monitoring, analysis, and reporting become increasingly automated, what remains the distinctive organizational contribution of the Project Manager?
I develop the argument in the full article:
The Project Manager in Adaptive Organizations: Why the Role Remains Essential