AI Is the New Heroin: How Silicon Valley Runs Drug Dealer Economics

Better product. Lower prices. Total dependency.

Drug dealers and AI companies are using the same playbook. The product is cheap, the market is dominated, and now you’re hooked.

In the movie American Gangster, Denzel Washington plays Frank Lucas, the Harlem drug lord who flooded the streets with “Blue Magic” heroin. His business philosophy was simple:

“My company sells a product that’s better than the competition at a price that’s lower than the competition.”

Silicon Valley is running Frank Lucas economics on millions of people. Better product. Impossible prices.

You’re not getting a deal. You’re getting the first hit.

OpenAI lost over $5 billion last year. They’re projecting $14 billion in losses by 2026.

Anthropic is burning cash at the same rate.

Investors have dumped more than $200 billion into AI companies since 2020.

That money needs to come back. With interest.

So why is everything so cheap???

Because the product isn’t the AI. The product is your dependency.

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The Play

Step one: They flood the market.

Every competitor races to the bottom. Free tiers everywhere. Twenty bucks gets you unlimited conversations with a machine that costs them $0.50 per query to run. The venture capital machine covers the difference. They’re not selling you software. They’re buying your habits.

Step two: You rebuild your workflow around it.

This happens faster than you realize.

You open Claude to “check” your email draft before sending. You ask ChatGPT to “quickly outline” that presentation. You let the AI handle the first pass on everything because why wouldn’t you?

It’s faster. It’s easier. It’s right there.

Then one morning the service goes down for an hour. You stare at a blank document. You realize you haven’t written a first draft from scratch in months.

The muscle is gone.

You stopped learning skills because AI handles them. You stopped writing first drafts. You stopped doing research the hard way. You stopped building the mental muscles that used to make you valuable.

Step three: They raise prices.

Tiered pricing expands. The free versions become useless. The $20 tier gets throttled. New “Pro” tiers emerge at $50, $100, $200 per month.

And you pay. Because unplugging means rebuilding everything from scratch. Your workflows. Your processes. Your entire way of working. The switching costs have become astronomical.

Here’s the part nobody talks about: these tools now have memory. Claude remembers your preferences, your projects, your communication style. ChatGPT stores your conversation history, learns how you think, builds a profile of exactly how to help YOU.

That data doesn’t transfer. Switch platforms and you start over. A stranger again.

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The Math

Sam Altman has publicly stated that query costs are “eye-watering.” Internal projections from multiple AI companies show pricing models that would shock current users. The math does not work at current prices. Everyone in the industry knows this.

“But competition will keep prices low!”

AI infrastructure costs are astronomical. Data centers. Specialized chips. Energy consumption that rivals small cities. Only a handful of companies on the planet can even play at this level. Competition doesn’t drive prices down when everyone is bleeding money. It determines who survives long enough to raise prices first.

“But efficiency will improve!”

Maybe. Eventually. But VCs aren’t waiting for “eventually.” They need returns on hundreds of billions of dollars. The bill is coming. The only variable is the timeline.

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The Window

The tools are here, absurdly cheap and only for a limited time.

Build something with it. Ship the product. Write the book. Launch the business. When prices triple, you want to be the person who already built something valuable.

The window is open. It will not stay open.

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The AI Operator Handbook is the playbook for using this subsidized window strategically.

Build systems that compound. Ship faster without losing the skills that make you valuable.