Azeem Azhar

And I think it's that observation, which is, what is that tension between the exponential rate of improvement of these technologies, and they're not slowing down,

and what it actually takes to to diffuse them because my my observation is just these heart these more powerful models are in some senses harder for people to get the best out of i mean i i almost just like agree with agree agree with this this point just right right off the the bat that um

You had this number, 1% to 1.8% of annual productivity growth over the next decade, which is, on the one hand, it's impressive, right?

It's cumulative.

It's trillions of dollars, actually, by 2030, 2031.

If you were a betting man, would you...

expect to be surprised to the upside or the downside?

Peter, you have summed it up so beautifully and neatly skirted around the bubble or boom question without saying either word, which is really, really wonderful.

That is all the time, all we have time for today.

Thank you so much for one of the most rigorous attempts to answer some of the questions that we are all asking and many people are hand-waving about.

Thanks for listening all the way to the end.

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That's all for now and I'll catch you next time.

Coming into 2026, things feel a little bit different.

The moment is somewhat unusual.

It's charged by, I think, a maturation of what we've seen from AI tools, a promise of the last seven or eight years.

And so I wanted to start this year by grounding us in something different and something simple, the way in which AI is already showing up in my day-to-day.

and how that's changed in the last two or three months and what that means for the year ahead.

So let's get back to this sensation that I have felt and experienced over the last few weeks.

It really feels that some of the AI tools crossed some part of the uncanny valley.