Thomas Dohmke

I don't know.

But we certainly don't know how far away that is.

And that's tricky if you're running a business today.

And the other side of that is that you gradually get closer to that future.

But every step of the way, you're making smaller innovations to what you believe is realistically achievable in the next three to five years.

And even that is moving so fast.

that you're going to be off.

And so in software development, you know, we've been calling this agile development for quite a while.

Where we are today in technology means you have to be incredibly agile.

A company like GitHub or Microsoft needs to be as agile as a 10-person startup.

And that is

quite hard because we're running a big ship at the speed of a really small boat that can turn very small circles.

And so I think finding that every single day, finding the energy, finding the motivation, finding the steps that we need to take to have this agility, even though we are running this large ship, that is what is required in this world of AI.

And let me give you one last metaphor because we talked a lot about this.

We have seen self-driving cars, whoever has been to San Francisco or

has hopefully been in a way more to see what that is like.

And today, most American houses in the suburbs have a two-car garage.

And so, you know, a significant amount of space on our lot is taken by that garage.

Now, I could...

already start building houses without garages in the aspiration that soon enough, you know, Waymo and similar cars will be everywhere and I don't need a garage anymore.