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Why the “AI Energy Monster” Narrative Misses Half the Story: EVs Are Already a Major Power Hog Too

|Author: Viacheslav Vasipenok|3 min read| 7
Why the “AI Energy Monster” Narrative Misses Half the Story: EVs Are Already a Major Power Hog Too

While the world obsesses over the electricity appetite of AI data centers, another fast-growing sector is quietly becoming just as significant — and far more politically untouchable: electric vehicles.

Why the “AI Energy Monster” Narrative Misses Half the Story: EVs Are Already a Major Power Hog TooAccording to recent data, U.S. data centers as a whole are on track to consume around 260 TWh of electricity per year. Of that, AI workloads already account for 100+ TWh — roughly 40% of the total and still growing rapidly.

For comparison, electricity used for charging electric vehicles in 2025 reached approximately 24 TWh — and that figure doubled in just one year. In other words, EVs are already consuming only about one-fourth as much electricity as AI data centers.

Given the projected growth of the EV fleet over the next decade, that gap is almost certain to narrow dramatically.


The Grid Reality Check

Why the “AI Energy Monster” Narrative Misses Half the Story: EVs Are Already a Major Power Hog TooCritics love to highlight the concentrated nature of AI data centers — sometimes requiring gigawatts of power in a single location, which puts enormous stress on local grids and forces utilities to build new transmission lines or even temporary gas plants.

EV charging, by contrast, is beautifully distributed across millions of homes, workplaces, and public stations. From the grid operator’s perspective, it’s much easier to manage.

But when it comes to the big picture — the total need for new generating capacity — the distinction starts to blur. Both AI and EVs are driving massive, sustained increases in electricity demand. The power has to come from somewhere, whether it’s a hyperscale data center in Virginia or 50 million EVs plugged in across the country every night.

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Selective Outrage

This is where the conversation gets awkward.

Environmental activists and policymakers have no problem sounding the alarm about AI’s “voracious” energy use. Yet the same voices that decry data centers as environmental villains are often the loudest champions of the electric vehicle transition — an initiative that, by the numbers, is already demanding comparable new generation capacity and will continue to do so for years.

Why the “AI Energy Monster” Narrative Misses Half the Story: EVs Are Already a Major Power Hog TooNo one is suggesting we slow down EV adoption. The point is simpler: if we’re serious about managing the energy transition, we should be honest about all the major new loads on the system. EVs aren’t magically “green” just because the tailpipe is gone — they simply move the energy demand upstream to the power plant.

And right now, both AI and EVs are accelerating the same fundamental challenge: America (and the world) needs to build a lot more clean, reliable electricity generation — fast.

The data centers may be easier to villainize because they’re big, ugly, and run by tech giants. The cute little electric cars in everyone’s driveway? Not so much.

But physics doesn’t care about optics. New electrons are new electrons. Whether they’re training the next large language model or charging your Tesla at 2 a.m., the grid doesn’t distinguish between them.

Sources:
- Presenc AI Research: AI Data Center Energy Consumption 2026;
- U.S. Energy Information Administration (EIA) Electric Power Monthly.

The real conversation we should be having isn’t “AI vs. EVs.” It’s “How do we build enough clean power to support the entire electrified future — without pretending one part of it doesn’t exist?”

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