Tristan Harris

The AI that's been trained on everything and is rapidly advancing in every domain?

Or a human that's going to try to train on new cognitive labor.

That's not going to happen.

And people need to get this because this is different from other transitions.

People always say, well, hey, 150 years ago, everybody was a farmer, and now only 2% of people are farmers.

And see, the world's fine.

Humans will always find new things to do.

But that's different than this technology of AI, which is trained not to automate one narrow task like a tractor, but to automate and be a tractor for everything.

A tractor for law, a tractor for biology, a tractor for coding and engineering, a tractor for science and development.

And that's what's distinct is that the AI will move to those new domains faster than humans will.

And so it'll be much harder for humans to find long-term job security.

I mean, I cite people who are bigger experts than I am, Anton Kornick, you know, Eric Bernholfsen at Stanford.

And what they show, I mean, Anton Kornick's work is in the short term, AI augments workers, right?

It's just actually supercharging existing work that people are doing.

And so it's going to look good in the short term.

You're going to see this, the curve looks like this.

It kind of goes up and then it basically crashes because what happens is AI is training on that new domain and then it replaces that domain.

So, I mean, let's just make it really simple for people to feel a very simple metaphor for this.

What did we hear Instagram saying and TikTok saying for the last several years?

Like, we're all about creators.