Azeem Azhar

And so what I wanted to do, it's been such a moment, maybe a realization or an epiphany about what that work style looks like just in the last few weeks that I want to

suggests that 2026 could be a year for everyone where the way in which you use AI is going to change.

It's going to be less about using tools and more about orchestrating your team of virtual workers alongside your real human colleagues.

And I think one way of thinking about this is about moving from the to-do list to the done list.

Now, I want to take you through six shifts.

These are anchored around three particular principles.

The first anchor is how we make things and why the act of building has fundamentally changed.

The second anchor is what does meaning look like?

Because when making gets much cheaper, we need to ask the question about what is still valuable.

And the third is, what are the foundations that all of this sits on, the energy and the money, and whether this entire edifice will hold together?

So we'll end that conversation, right?

The part of that third anchor is the question that I was asked the most in 2025.

When will the AI bubble burst?

Or indeed, is it a bubble at all?

We've obviously done all of our evidence-based research and forecasting.

We've got a solid understanding of the cycle.

You can check the website at boomorbubble.ai, which is updated, I think, every single day or most days, perhaps not on the weekends.

So with that, let's get to the first anchor, which is what's happening to Maykink.

It is really, really remarkable what's happened in the last six months, three months in particular.

I'm going to get into some of those details.