Reed Hastings

And there will be amazing positive scenarios, all kinds of medical cures, all kinds of productivity.

I certainly, six years ago, AI was very good at image analysis.

That was one of the kind of workloads that it first got good at.

And in particular in radiology, it got significantly better than the typical radiologist pretty quickly and has been better than the typical radiologist

for at least five years.

And so I would say, you know, weddings with friends who are radiologists, what's good that your kids are not going in the business because radiology is going to be the first profession that's wrecked by AI.

Good for humanity, but not good for radiologists.

Well, what happened is as radiology got better because of AI analysis that helped radiologists, the price of scans went down and the number of scans turned out to be hugely elastic.

Now you walk in, you've got a cough, boom, you get a scan.

And so what's happened now is there's about 34,000 radiologists in the US, which is a shortage.

We now have a labor shortage of radiologists.

by about 5,000.

So it's an incredible story of, of course, elasticity of demand to improve lives, i.e.

more scans.

And so we may well see with AI that it makes Wall Street analysts more productive, it makes software engineers more productive, and that, in fact, the elasticity

and that we grow the economy.

And when people ask, you know, we're spending collectively as an industry a half a trillion dollars on AI data center, how is that ever going to get paid back?

Well, you know, add one or two points to GDP growth and it gets paid back fast.

So, you know, I don't want to like guarantee that it's always going to be like radiology.

I do think software engineering is particularly fascinating because all the major AI companies are working on it.