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AI data centers are often blamed for straining power grids, heavy water usage, and driving up electricity demand.

This may be one of the biggest issues we face when it comes to AI. But computer scientist,

Aisha Josh Kuhn, says instead of competing with AI data centers over invaluable natural resources,

we should be asking a different question. How can we leverage AI to actually help stabilize the grid?

In this talk, Aisha shares how to turn the facilities seen as energy hogs

into flexible grid-supporting assets, a move that could prevent blackouts, lower costs,

and even accelerate the adoption of clean energy.

She shares why a sustainable future for AI exists

if we're bold enough to try.

Right now, the world isn't an AI race.

Companies, governments, universities are all racing to build bigger models, smarter systems,

and behind the scenes, they are racing to build more data centers to power AI.

But there's a problem.

We are running headfirst into the limits of our infrastructure.

The power grid includes all the infrastructure, power plants, transmission lines and all,

to generate and deliver power for our homes, our businesses, and now to AI data centers.

In the United States, the grid operators are reporting

that new AI data center projects are requesting power loads equal to entire cities. In some regions,

utilities simply can't keep up. So when you hear AI data center, what comes to mind? For many, it's one thing, energy hogs,

and they are not wrong. AI is dramatically accelerating the electricity demand of data centers.

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