If users were adopting AI, LLMs would be bragging nonstop

If a platform has real adoption, it never shuts up about it.
It leads with numbers, not narratives.

Even The New Yorker is asking why AI failed to show up in everyday life. That’s what adoption looks like when it doesn’t happen.

In the early web era, companies talked about:

Not philosophy. Not demos. Not browser architectures. Numbers.

When adoption is real, the metrics are irresistible.
They show up everywhere because they de-risk the business.

Today’s LLM vendors do not talk about:

Those numbers are conspicuously absent.

Instead, the conversation is about:

These are substitutes for traction.

Demos are not product.
They are narrative life support.

If usage were compounding, vendors would say so.
If costs were under control, they would say so.
If users were sticking, they would show the curves.

They don’t, because they can’t.

LLMs reset memory.
Costs recur.
Value does not compound.

So usage spikes instead of sticks.
That’s why the story is always about what the model can do once.

Real platforms brag about continuity.
LLMs brag about capability.

This isn’t a marketing choice.
It’s a signal.

Narratives thrive when arithmetic is weak.
Arithmetic takes over when narratives fail.

If users were adopting AI at scale,
we wouldn’t be hearing stories about models.

We’d be drowning in user metrics.