The AI infrastructure race is accelerating faster than most people realize.

According to McKinsey, global data center CapEx driven by AI could reach $5.2 trillion by 2030 in a baseline scenario.

Here’s how that capital is expected to be distributed:

• ~$3.3T in IT equipment (GPUs, servers, chips)

• ~$1.6T in data center infrastructure

• ~$300B in power generation

This buildout would require around 125 gigawatts of new capacity between 2025–2030 — roughly comparable to the output of ~125 nuclear reactors.

And that’s just the base case.

If demand accelerates:

→ Total investment could surge to $7.9T

→ Capacity expansion could reach 205GW

Even in a constrained scenario, we’re still looking at $3.7T in spending.

What’s driving this?

• Mass adoption of generative AI

• Enterprise-level AI integration

• Competition between tech giants and new entrants

• Government-backed AI infrastructure investments

This isn’t just hype — it’s a full-scale global infrastructure cycle.

The real question isn’t if AI will reshape industries…

It’s who captures the value from this $5T+ buildout.