Daniel Priestley

But because the cost to explore those has come down, then now we can actually have millions of businesses that never existed, that we didn't even know we needed to exist.

The minute an AI learns how to be a lawyer in one place, it can be a lawyer in every place.

The minute it learns how to diagnose a disease in one location, in one hospital, it can diagnose a disease in every hospital in the world.

So it's this instantaneous rollout because it sits on top of a network that already exists.

Yeah, you just hop in and there's no steering wheel, no pedals.

You can't take control even if you wanted to.

Set up your own fleet and connect them to different networks like Uber and all of those sorts of things.

And the cost to move around is going to go through the floor because, you know, my Uber to come here today was probably $50.

And that will probably be $6 or $7 once that is rolled out.

So the thing with the Jevons paradox is it doesn't mean that everyone gets the same job and that they get like there's just more of exactly the same jobs.

It means that the transformation creates exponential growth as a result of the transformation in an unexpected way.

So growing up, my mum worked in newspapers and there was probably half a million people working in newspapers as journalists and all of those sorts of things.

And that has dropped by 80% in the last 25 years.

But at the same time, the number of people who are bloggers, the number of people who have sub stacks, the number of people who are doing the kind of work of journalists and actually making money as a result of content creation has gone 100x.

So I think it's something like three to four times more people now make their money in a way that kind of looks like a journalist.

than there ever were journalists prior to the technology that disrupted journalists.

So it's not that those exact same jobs are replicated.

It's that something similar emerges as a result.

But content is.

And content is unlimited.