You have seen the headline by now, in one form or another. Every time you talk to ChatGPT, you pour out a bottle of water. AI is draining the rivers. The data centers are coming for your aquifer. It is a clean, sticky, repeatable story, and it has done exactly what it was designed to do: it has made you feel something about a machine.
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Latest notes and longer-form writing from Pete on Substack—conscious leadership, AI, inner work, and what he is building and learning between books, talks, and podcast episodes.
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Energy is Everything
For less than the price of a dinner for two, a barrel of oil will do about five years of one person’s physical labor.25 Add up everything we burn in a year and the workforce comes to roughly half a trillion invisible laborers serving eight billion people. None of them are on a payroll. None of them show up in GDP as what they are. That accounting error is why money feels like the currency of the world and energy feels like a utility bill. It is the other way around, and the AI buildout is the first thing in a century large enough to force the correction.
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A Self-Similar Scaling Hierarchy from the Planck Length to the Extent of the Universe
There is a question I have been circling for years, in the work I do building data center infrastructure for AI and in the work I do on consciousness through THE BRIDGE. The question is what it actually means to discern. Optimization I understand. I can describe it, build for it, hire for it, scale it. Discernment is harder to name. We use the word as if we know what we mean, but when pressed, most of us reach for synonyms. Wisdom. Insight. Inspiration. The reaching is the giveaway. Something is happening when a person discerns well, and that something is not a computation, and we do not yet have a clean account of what it is.
The AI revolution is not a software trend. It is a physical infrastructure revolution — and the data center infrastructure we built for the last era cannot support what is coming.
I’ve spent nearly thirty years building the rooms where artificial intelligence lives. Data centers for the federal government, enterprise clients, and data center operators. I’ve designed power systems, managed construction, and even pulled cable so that machines could think faster, longer. I know what AI costs in square feet, copper, and kilowatts. I know what it weighs.
