Is the way we manage infrastructure projects changing?
Published 11.09.26
4 mins read
And the topic remains highly relevant. Recent research on the digitalization of infrastructure management shows that technologies such as BIM, Big Data, IoT, and digital twins are changing the way projects are planned, delivered, and assessed throughout their entire lifecycle, enabling a shift from data-driven monitoring toward decision-driven management.
From managing projects to managing complex systems
This could be the most fundamental shift of all. For a long time, infrastructure project management could be viewed through a relatively straightforward sequence: plan, design, build, deliver. Today, that structure has expanded into a lifecycle involving multiple stakeholders, interconnected decisions, social and environmental risks, and increasingly complex stakeholder expectations.
As projects become more complex, leadership, coordination, stakeholder management, and decision-making capabilities become increasingly important. Delivery can no longer be the sole objective. Projects also require continuous risk mapping, technology integration, and information management—all at the same time.
Among the technologies helping us move closer to real-time information are BIM, digital twins, AI, Big Data, and IoT. But speaking broadly about “new technologies for project management” would only scratch the surface.
In mid-2026, PwC published an analysis on what it calls “AI-native infrastructure,” suggesting that agentic AI could connect design, procurement, risk, and governance within an integrated, continuously learning project ecosystem. The firm makes one point particularly clear: it is not enough to simply “add AI” to existing processes. Organizations need to rethink their data, operating models, governance, and the way project stakeholders collaborate.
That distinction is key. True transformation is not simply about adopting new tools; it is about changing how we make decisions and how we use information to our advantage.
What technology cannot replace: leadership
Perhaps the most important paradox in this entire process is that the more technology-driven project management becomes, the more important the human factor becomes.
The reason is simple. Someone still needs to interpret the information, make decisions, negotiate priorities, manage conflicts, align teams, and perform many other critical functions. No model or algorithm can do all of this on its own.
In its research on leadership in the world’s largest and most complex projects, McKinsey concludes that large-scale projects require a particular set of leadership mindsets and practices to successfully navigate their multiple interfaces with communities. Technology can help us understand what is happening within a project. But we still need leaders who can decide what to do with that information.
The real shift, therefore, lies not only in the tools we adopt, but in our ability to transform management practices to respond to a more dynamic and complex reality. In the years ahead, infrastructure projects will test not only our technical capabilities, but also our ability to integrate new ways of working, collaborate across disciplines, and lead in environments where uncertainty will remain a permanent part of the process.
Author.
Monica BedoyaBusiness Line Director
