i dont think a lot of the business / non techy folk tasked with delievering AI transformation projects realise that AI is intelligence on tap
its so good, that when implemented at scale the costs will go insane.
users ask similar thing on max giga brain models.
queries costing several $ to get a dashboard from a tool that already exists, with gas-lightning tone on the readyout
the real play with AI transformation is to run the models and charge per use, or position as a toll booth clipping $ from your customersas token flow moves through your systems
AI tooling is fantastic except for who ever pays the bills
Marc Andreessen admitted on Joe Rogan that AI is making people less efficient.
The guy who funds half the AI industry. On a podcast. Just casually dropping it.
Same week: Nvidia's VP said compute now costs more than his employees.
Microsoft canceled 100,000 Claude Code licenses because finance couldn't stomach the bill.
Uber burned $3.4 billion in AI budget by April.
And here's the detail everyone's glossing over:
Uber didn't just adopt AI. They gamified it. Internal leaderboards ranking teams by usage.
They made burning tokens a competition. A sport.
It worked. Adoption went from 32% to 84%. Engineers loved it. They used it for everything.
They stopped thinking about whether a task needed AI. They just used it. For everything. Always.
And that's when the budget died.
The tool was so good that people stopped being selective about when to use it.
And the moment you stop being selective, the cost goes exponential.
Because token-based pricing means every thoughtless query costs real money.
This is the part nobody wants to name:
AI doesn't have a cost problem. It has an addiction architecture.
Flat-rate software trained an entire generation to use tools without thinking about cost.
Now AI billing is per-use. But the habit of "just use it for everything" didn't update with the billing model.
Uber built a leaderboard that rewarded maximum consumption of a product billed per unit consumed.
Then acted surprised when the bill arrived.
Microsoft's engineers unanimously wanted to keep Claude Code. Finance killed it. The people using the tool said it was the best thing that ever happened to their workflow.
The people paying for the tool said they couldn't afford how much the users loved it.
We built something so useful that the only way to sustain it is to stop people from using it freely.
And that contradiction isn't a bug in the business model. It IS the business model.
It's how every AI company makes money: build something addictive, bill by consumption, and wait.