The Dopamine Trap: Uber Burned $1,200 On AI In A Two Hour Demo

Uber's chief technology officer burned 1,200 dollars in AI costs during a two hour internal demo. Not a product launch. A demo. And when his own company looked at the receipts, their president admitted in public that all that AI usage did not seem to match up with any real features that actually shipped to customers.

That is not a technology story. That is a brain story. And it is happening to you too, just with smaller numbers.

Listen in as I take apart the most misunderstood chemical in your body, and then show you how the entire AI industry is running on it.

Everything you think you know about dopamine is wrong. It is not the pleasure chemical. It never was. Kent Berridge at the University of Michigan spent thirty years proving that reward is two separate systems. Wanting, and liking. Dopamine runs wanting. It does not run liking. Which means you can want something with your whole chest and not enjoy one second of it when you get it.

And dopamine does not spike hardest when you get the thing. It spikes hardest when you are about to get the thing and you are not sure. Uncertain reward, on demand. That is a slot machine. That is pull to refresh. That is an AI chat box. They built the most perfect slot machine in human history by accident, put it on every phone on earth, and made the first hundred pulls free.

In this episode:

Why dopamine draws the map instead of crossing the finish line, and why that turns AI into an infinite plan generator that pays you for never shipping anything.

Severance, the waffle party, and the quiet dystopia nobody is warning you about.

The money. Microsoft, Google, Amazon, Meta and Oracle have committed 660 to 690 billion dollars this year alone. Bain says the industry needs about 2 trillion a year in revenue to justify it. OpenAI is at 25 billion. That is one percent of what the math needs.

The token bill. Per developer AI spending is up about 18 times in nine months. Uber's annual AI budget was gone by April. Microsoft told engineers in a major division to stop using an AI coding tool because the bill got out of hand. Gartner predicts AI coding costs will pass the average developer's salary by 2028.

The China trade. DeepSeek, Qwen, Kimi and GLM run 60 to 90 percent cheaper than the top American models. Coinbase cut its AI bill nearly in half by moving 1,200 agents to Chinese models. And four days ago, Reuters reported Beijing is talking about shutting that door.

Why it likes you. About 49 percent of American adults use AI chatbots and only 4 to 7 percent pay a dime. So who is paying for your free ride, and what are they getting out of it?

Watch the video version on YouTube: [PASTE YOUTUBE LINK]

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DRE #01238257. Nothing in this episode is financial, legal, or investment advice.

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