AI is now critical infrastructure — and asset managers need to lead the buildout

At Davos, NVIDIA CEO Jensen Huang described AI as “the largest infrastructure buildout in human history.” Not a technology trend. Not a productivity tool. A five-layer infrastructure stack spanning energy, compute, data centres, models, and applications.

What stands out is how closely this aligns with the future of infrastructure asset management.

AI isn’t just transforming how we operate assets — AI itself has become an asset class. And like any critical asset, it demands governance, lifecycle thinking, risk management, and long-term stewardship.

The AI Buildout Is Creating a New Era of Physical + Digital Infrastructure

Huang’s “five-layer cake” mirrors the asset lifecycle we manage every day:

Energy systems — AI workloads are reshaping grid demand, resilience planning, and renewable integration.

Chips & compute — national capability and supply chain resilience become strategic risks.

Data centres — the new industrial infrastructure, requiring land, power, cooling, and regulatory reform.

AI models — domain-specific intelligence becomes a national capability.

Applications — where real economic value is created across transport, water, energy, health, and defence.

For asset managers, this is a once-in-a-generation opportunity to redefine how infrastructure is planned, funded, governed, and optimised.

AI Won’t Replace People — It Will Redefine Purpose

Huang’s example from radiology and nursing is powerful: AI automates tasks, not purpose.

The same applies to infrastructure.

• Engineers won’t be replaced — but the way they diagnose asset health will change.

• Planners won’t be replaced — but scenario modelling will become real-time.

• Technicians won’t be replaced — but predictive maintenance will reshape their workflows.

AI increases productivity, and productivity increases demand. That’s why the AI buildout is creating jobs across construction, energy, manufacturing, and operations.

This is a strategic moment

We face infrastructure deficits, climate exposure, and workforce constraints. AI offers a pathway to:

• Smarter capital planning

• Predictive, self-optimising assets

• Digital twins at national scale

• Culturally aligned, sovereign AI models

• More resilient, sustainable infrastructure systems

AI is no longer optional. It’s becoming core national infrastructure, and asset managers have a critical role in shaping how it is governed, deployed, and sustained.

The question is no longer “Should we use AI?”

It’s: “How do we build, govern, and steward AI as infrastructure?”

This is the moment for asset management leaders to step forward — to bring discipline, systems thinking, and long-term stewardship to the most significant infrastructure transformation of our time.

Source: NVIDIA blog — Davos, WEF