I've been seeing this whole AI spending conversation everywhere lately.

And honestly, I think we're entering the part of the story where simply saying "AI is growing" isn't enough anymore.

Look at the numbers.

Amazon, Google, Microsoft and Meta could spend around $1.47 trillion on data centers in 2027.

For context, that was around $466B in 2025.

That's a ridiculous amount of money being pushed into infrastructure.

But here's where it gets interesting.

If you're spending that much money to build AI infrastructure, eventually someone has to ask:
Okay... where's the money coming back from?

Because spending more doesn't automatically mean earning more.

For a while, the market was happy to reward companies for aggressively building out AI capacity.

Buy GPUs.

Build data centers.

Hire talent.

Expand compute.

Get ahead of everyone else.

But we're reaching the point where investors are going to start looking underneath the headline.

How much revenue is that infrastructure actually producing?

How quickly does it pay for itself?

Which companies are building something that becomes a real cash-generating machine, and which ones are simply spending because they can't afford to be the company that didn't invest in AI?

That's the part I'm watching.

The AI story probably isn't ending.

The way the market values the AI story might be changing.

And I think that distinction is going to matter a lot.

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