AI is reshaping both physical infrastructure and political debates — and the two of them often interconnect. On the physical infrastructure side: In Texas, we see Vantage going big with plans for a $25 billion hyperscale campus to fuel AI growth.

Developments around Intel’s future and ownership are shifting quickly. SoftBank has announced a $2 billion investment in the company, becoming the chipmaker’s fifth-largest shareholder and deepening its global AI footprint as Intel works to regain ground in AI and foundry services.

CoreWeave is the latest company to report on quarterly earnings that showed strong growth in AI infrastructure revenues — along with ballooning capex that reflects the steep costs of scaling an infrastructure business.

Cisco closed fiscal 2025 with AI infrastructure orders surpassing $2 billion—double its goal—and locked in two $1 billion webscale deals for 2026, underscoring hyperscalers’ accelerating network buildouts.

AI may be driving some workforce cuts, but it’s also generating various new jobs — and in both AI infrastructure and AI in general, finding enough of the right people is definitely an industry pain point.

Equinix’s Tiffany Osias spoke at a KeyBanc conference this week to give us all a reality check on the “hard business” of building data centers — and a look at how Equinix is positioning itself to execute on hyperscale data center opportunities rather than get caught up in what her IR colleague Chip Newcom calls the “bragawatts”

The biggest story in AI right now is the unusual-to-say-the-least deal that the Trump administration has struck with Nvidia and AMD.

Deutsche Telekom and Orange are taking bold steps to strengthen AI capabilities and data sovereignty.

The AI investments just keep coming: Yesterday, it was Apollo buying Stream Data Centers. Today, Brookfield Asset Management stakes its claim in the AI-driven data center boom, outlining a dedicated AI infrastructure strategy with $33 billion already in play supporting European projects — and more to come.