so if power is constrained why are companies spending so much capex?

It is the biggest paradox—and the biggest bottleneck—in the tech industry right now. Microsoft recently admitted on an earnings call that they are sitting on billions in unfulfilled Azure cloud orders simply because they cannot find the electricity to power the GPUs.

So, if power is the limiting factor, why are the five major hyperscalers projected to spend nearly $690 billion on CapEx in 2026?

Because the power constraint is exactly what is driving a massive portion of that spending. Here is why the money keeps flowing even when the electricity doesn't.

1. Buying "Compute Per Watt" (Hardware Upgrades)

If a hyperscaler has a data center capped at 100 megawatts, they cannot physically draw more power from the grid. The only way to increase their AI processing capacity within that facility is to become drastically more power-efficient.

This means ripping out older chips and replacing them with the newest generations. A massive chunk of current CapEx isn't going toward expanding the total footprint; it's going toward replacing economically obsolete hardware. The newest GPUs deliver significantly more compute per watt, allowing hyperscalers to squeeze more AI performance out of their existing, strictly limited power envelopes.

2. Hyperscalers Are Becoming Energy Companies

A growing percentage of that CapEx is no longer going toward servers and networking gear—it is going directly into energy infrastructure.

Because local utilities cannot upgrade the grid fast enough to accommodate AI's gigawatt-scale demands, hyperscalers are adopting a "bring your own power" strategy. They are spending billions to build their own microgrids, deploy massive on-site battery storage systems, invest in natural gas plants, and, increasingly, fund nuclear power restarts. They are spending the CapEx to literally build the power supply they are missing.

3. The 4-to-5 Year Waiting Room

Getting a massive data center connected to the power grid is not a quick process; the average wait time for a major grid connection in primary data center markets is now exceeding four years.

Hyperscalers are spending billions today to secure strategic land, sign long-term utility commitments, and begin heavy construction. They are deploying capital now to ensure they have the physical space and grid priority secured for 2028 and 2030. If they wait for the power bottleneck to clear before they start spending, they will be five years behind their competitors.

4. Hardware Hoarding

Supply chains for the most advanced chips, cooling systems, and specialized electrical equipment remain tight. Hyperscalers are buying the actual hardware (GPUs, liquid cooling racks, custom networking fabrics) well in advance. They are willing to let billions of dollars worth of servers sit idle or in warehouses so that the exact minute a new power facility comes online, the hardware is ready to be racked and turned on.

The Bottom Line

In a power-constrained world, capital intensity actually goes up, not down. Hyperscalers are forced to overspend on the newest chips to maximize efficiency, overspend on real estate to get in line for future grid connections, and overspend on energy infrastructure to build the power the public grid can't provide.