And why there's still some way to go

As IT organizations embrace AI, data center facilities and colocation providers need to plan to deploy the supporting infrastructure, despite many uncertainties

Resilience is no longer about avoiding failure entirely. It is about maintaining control when failure happens

As AI becomes a critical workload across sectors, the organizations that succeed will be those that align compute strategy with a flexible, efficient, and collaborative infrastructure model

As agentic AI looks set to dictate the next wave of the digital transformation

Security and compliance expectations are evolving – especially for projects supporting sensitive data and clients, or industry partners holding or managing secure data

A lightbulb moment

Crises reshaping data centers and the industrial DNA advantage

How US data center development is forging new career pathways

Charting the year ahead

Keep leveling up

Resilience needs to be considered at every layer

The next generation of power development won't be built by armies of consultants and sprawling development teams

Aisle containment is no longer a static wall – but an intelligent asset that actively drives efficiency forward

For AI data centers, services are no longer an afterthought. They are the mainstay that keeps power and cooling architectures aligned with the digital services they are intended to deliver

Listen to what the market is telling you and let what you see be your guide

The right branding can help data centers deal with their perception problem

Why data control matters more than ever

Architecting for real-time intelligence

A chip fab without workers will benefit no one

Greenland, expansionism, and the risk to Taiwan

The choice is clear: converge and optimize, or remain siloed and inefficient

The underestimated role veterans, tradesmen, and high school graduates could play

And why the right investment is necessary to keep up with AI workloads