Wall Street is getting increasingly concerned that the current AI mania will burst and bring the entire market down with it. Silicon Valley brushes that concern off, and VCs and big tech companies continue to pour money into AI in search of big payoffs.

So who is right?

At times like this, I like to turn to the data and ignore the prognosticators.

Evan O'Donnell is a VC and blogger who took it upon himself to build a model that looks at the rate of growth of inference token usage and compares that to infrastructure investment and comes up with some answers. This post details that approach.

But what I like most is Evan's dashboard, which you can see here.

My only critique of this approach is that the data is not real-time. Not even close. When I asked Evan about that via email this past weekend, he said:

No material update on the token numbers.

As of Sept/Oct, token consumption is growing at ~13% monthly across providers (down from 30-40% earlier this year). I'm tracking everything

Wall Street is getting increasingly concerned that the current AI mania will burst and bring the entire market down with it. Silicon Valley brushes that concern off, and VCs and big tech companies continue to pour money into AI in search of big payoffs.

So who is right?

At times like this, I like to turn to the data and ignore the prognosticators.

Evan O'Donnell is a VC and blogger who took it upon himself to build a model that looks at the rate of growth of inference token usage and compares that to infrastructure investment and comes up with some answers. This post details that approach.

But what I like most is Evan's dashboard, which you can see here.

My only critique of this approach is that the data is not real-time. Not even close. When I asked Evan about that via email this past weekend, he said:

No material update on the token numbers.

As of Sept/Oct, token consumption is growing at ~13% monthly across providers (down from 30-40% earlier this year). I'm tracking everything