Azeem Azhar

You're talking about replacing every job, talking about

scientists in a data center thinking up everything, it may not be the messaging that is going to be appealing to anyone.

It also may not be how we think about this technology in the most sort of human beneficent type of way.

Okay, so that's what we've got to.

This is what I think was important to think about over the next couple of years.

And the models aren't the bottleneck.

There's these series of absorption challenges.

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I mean, this is the, should you upgrade your iPhone problem?

multiplied by a factor of a thousand.

The challenge is that nobody really knows how to make the most out of AI.

The only way you're going to learn how to do that and learn about how dynamic it is, how it changes the way teams work, how individuals progress, is by actually building that capability.

By building it yourself, by doing it yourself.

If you choose to delay for there to be stability, well, I can't tell you when there will be stability.

I mean, normally it takes a couple more years.

But if you do wait that long, then you've got this issue with your people.

You haven't trained them up on the technology that we know is going to be really important.

You also haven't established the capacities within your company.

So you're going to start from a cold start.