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The big banks in 2007 weren’t looking at the mortgage files. They were looking at the revenue. Today, the AI industry is looking at token growth, API revenue, and model scale. I’m looking at the telemetry. The question isn’t whether AI works. The question is how much compute is being lost to inefficiency, repetition, drift, loops, and model chatter before the answer ever reaches the user. Companies know what they’re spending on AI. What they don’t know is how much they’re wasting. That’s the AI Entropy Tax. medium.com/@galindokris...
The Enterprise AI Token Audit: Wall Street’s Hidden Telemetry Comes to Machine Intelligence
Why 25%–70% of your AI budget is being vaporized on structural noise—and how to stop the Entropy Tax
medium.com