The Real Cost of AI: Why "Free Energy" Won't Save the Grid

Is the rapid rise of artificial intelligence pushing the world’s energy infrastructure to a dangerous breaking point? Energy experts panel the true economic and grid costs of the modern tech boom, exposing why centralized data centers have hit "peak scale." While AI computing demands astronomical power over standard servers, the panel reveals that political policy, rapid chip manufacturing, and electric vehicle rollouts are quietly threatening baseline grid reliability. They unpack how the physics of manufacturing cutting-edge materials like silicon carbide require an order of magnitude more energy, forcing a shift toward a decentralized grid model to combat latency. Finally, representatives from major utilities spotlight the massive tension building across the nation, detailing extreme 50% capacity spikes, critical sunset power drops, and the growing political pushback from rural areas tasked with hosting the land-heavy renewable projects that feed high-density urban tech hubs.

Speakers:

Cole Smead, CEO of Smead Capital Management, is a board member of Discovery Institute.

Kent Walter is Director of Western Market Affairs at Arizona Public Service.

Jonathan Lesser is Senior Fellow at Discovery Institute and President of Continental Economics.

Mark Mills is a Distinguished Senior Fellow at the Texas Public Policy Foundation.

Source Video: https://www.youtube.com/watch?v=x087Vr-4z4c

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The mission of the Walter Bradley Center for Natural and Artificial Intelligence at Discovery Institute is to explore the benefits as well as the challenges raised by artificial intelligence (AI) in light of the enduring truth of human exceptionalism. People know at a fundamental level that they are not machines. But faulty thinking can cause people to assent to views that in their heart of hearts they know to be untrue. The Bradley Center seeks to help individuals — and our society at large — to realize that we are not machines while at the same time helping to put machines (especially computers and AI) in proper perspective.

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