AI Server Power Jumped 84% in One Year

• THE GRID

Microsoft reports earnings tonight after the close. Fiscal Q4. Wall Street cares about Azure growth. Copilot seats. Cloud margins.

I'm watching a different number.

Not Azure revenue. Not Copilot. The power number.

Last quarter, Microsoft spent $31.9 billion on capex. Two-thirds went to chips and servers. The rest: data centers, land, and power infrastructure.

Tonight's quarter should top $40 billion. Full calendar year: about $190 billion. Up 61% from 2025.

Microsoft isn't alone. The big four cloud builders are tracking toward $725 billion in combined capex this year. Amazon guides $200 billion. Alphabet: up to $205 billion.

All chasing AI. All of that spending lands on the same electrical grid.

But the number that matters most right now isn't dollars. It's watts.

Gartner released a data center power forecast in June. One figure jumped off the page. AI servers now eat 31% of all data center electricity. Worldwide.

In 2025, AI servers used 95 TWh. This year: 175 TWh. An 84% jump in twelve months.

Conventional servers? Almost flat. From 193 TWh to 195 TWh.

The shift isn't gradual. Conventional grew 1%. AI grew 84%.

The crossover is close. By 2027, AI servers will use more power than every conventional server on Earth. Combined. 258 TWh versus 200 TWh.

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Global data center demand reached 132 GW this year. Up from 104 GW in 2025. A 27% climb.

Total electricity: 565 TWh, up from 447 TWh. That's more power than many mid-sized countries use in a year.

Gartner has never measured growth this fast in this sector. They project 290 GW by 2030. Over 1,200 TWh of consumption.

Microsoft's own cash tells the strain. Operating cash flow last quarter: $46.7 billion. Capex: $31.9 billion. Free cash flow: about $14.8 billion.

Three years ago, capex fit easily inside cash flow. Now it eats most of it. A software company is becoming an infrastructure company.

Why keep building? Azure is supply-constrained. The bottleneck isn't customers. It's available watts.

Three years ago, AI servers barely showed up on the load curve. Now they approach parity with conventional servers. Next year, they pass them.

Every GPU rack draws power. Every AI query costs watts. The pace keeps accelerating. The grid wasn't built for a new load class to appear this fast.

When AI servers cross that line next year, data centers won't just be big power users. They'll be the largest new load class the grid has seen since air conditioning.

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• WIRED IN

• VOLTAGE

Five years. That's how long a new data center might wait for a grid connection in parts of the U.S.

So hyperscalers stopped waiting. They're building power plants instead.

RBC Capital Markets mapped the shift in a May report. Data center developers have announced 101 gigawatts of behind-the-meter natural gas generation across the U.S. None of it connects to the public grid. All on-site. Private power for private compute.

New gas projects added in 2025 averaged 590 MW each. That's not a peaker plant. That's a mid-sized power station built for a server farm.

Texas leads with 38 GW in development. ERCOT has received nearly 390 GW of data center interconnection requests. The queue is so clogged that building your own plant is faster than waiting in line.

The biggest project: Homer City, Pennsylvania. A retired coal plant becoming a 4.4-GW gas station for one data center campus. It will burn 665,000 MMBtu of gas per day.

Meta is funding seven new gas plants in Louisiana. In Tennessee, a developer spun up 150 MW of load using mobile gas generators in just 122 days.

Cummins landed a deal in June to supply gas generators for Circe Energy's data center in West Texas. Deliveries run through 2030.

RBC commodity strategist Christopher Louney called on-site gas "a permanent fixture of the digital infrastructure landscape."

The grid queue is so broken that hyperscalers are becoming their own utilities. Natural gas is the bridge fuel of the AI era — and this bridge keeps getting longer.