Bill Gurley

It's potentially solvable, but they were created around language.

They're not great with numbers.

And when people say, oh, the generalized AI is just going to replace all compute, I don't see that.

They're going to have to fix some things or merge it.

The way when you ask an AI math now, it goes off and writes Python.

You have to do more of that type of work to get to that place.

If you're espousing the but isn't it real argument, I can't push back on that.

As I answer it, I want to highlight one of two last things I wanted to get on the table.

And that is that time is a massive problem.

we're moving the time to liquidity of these companies from five to seven years to 10 to 15 years.

I don't know the exact number.

And I think every LP is aware of that.

I think I forwarded you this NVCA graph and in there it has the percentage of

of committed funds that's paid back in the five to 10 year window of a venture fund.

And it used to average 20%.

It's been as high as 30.

And it got down to five last year.

And it's in the five to seven range, which hints at the big LP liquidity problem.

But it's a problem for GPs too.

The reason time is such a massive problem is you have the cost of capital, the IRR that just eats away.