Azeem Azhar

Yeah.

So the underperformers, which is, you know, there's 50% of doctors are below average, right?

They're more likely to accept the input, whereas the experts, you know, in quotes, they're rejecting the AI good input.

So, yeah, you get a lot of noise, unfortunately.

Today, artificial intelligence companies are now being valued in hundreds of billions of dollars.

It's open AI.

It's anthropic.

It's all the value that DeepMind has added to Google over the past years.

But that force is a really important question.

And it's a question that is being asked by the mainstream, but also by specialists.

Do the economics actually work?

When you look at what it costs to train and run a frontier model and what you earn from it before the next model comes along and replaces it, is that a profitable business?

Are we looking at something a bit like Uber, which lost money for 14 years before turning a profit and is now handsomely valued, or something that doesn't have an end in sight?

Now, these questions really matter.

The stock markets.

Well, big tech had a lurching week this week, and at one point, more than a trillion dollars was wiped off valuations.

Wall Street's very linear investors were trying to digest the $650 billion of capital expenditure commitments being made by big tech for 2026.

Some of that $650 billion is going towards AI infrastructure.

Does any of this make sense?

Are there actually going to be operating margins to defend?