Matthew Prince

And I think that's right.

And again, the best AI rulings that we've had have said, yeah, actually, AI use is a lot like reading a book.

With technology, the answer is always yes, it's sort of like that.

The problem becomes it's like reading a book, but at massive scale.

It's not just about reading one book, it's about reading all the books all at once, right?

So it's hard for us to conceive of these things that actually have almost human-like characteristics and qualities, but have machine-like scale and velocity.

And that's I think those are the places where actually it's it becomes very difficult to figure out how to regulate and to legislate.

But I am quite hopeful that it's something that the private markets will be able to figure out, you know, pretty well in the case of music.

Like, you know, if you think about the day before Steve Jobs steps on stage and launches iTunes 99 cents a song.

The entire music industry is worth about $8 billion.

Now, the 99 cents a song didn't turn out to be the right answer.

There was a whole bunch of potential legislation that people were threatening to pass.

There was a bunch of lawsuits that were there.

What ended up actually saving the music industry, though, wasn't any of those things.

It was the emergence of Spotify and Apple Music and Tidal and TikTok and YouTube and all the things that are now funneling much more revenue into the music industry than has ever happened in the history of the music industry.

And so I think that there's a potential for that to happen here as well.

I think the answer is gonna be different for everything which is out there.

If you've got a knowledge base for your developer platform, you're gonna want that content to be accessible by every agent which is out there for free.

You might even be willing to pay agents

to come and look at that information because it's marketing data, right?