Most of the public focus to date has been on the large public benchmarks for things like coding.

I think the problem is, though...

I've met Fitzpatrick's CEO of Invisible Technologies.

We're an infrastructure company.

What that infrastructure allows us to do is what I would call hyper-personalized software at skin.

It sounds like your position is we need thousands of new narrow benchmarks to capture maybe every

labor category, every industry vertical.

That is an interesting second part of this, which is...

We're going to see the largest disruption ever in 2026 from companies that don't make this change.

There are many sectors where the structure of what the industry does is going to change

if you think about knowledge work, the production of large amounts of documentation, where

these technologies are very disrupted.

I think the question is which parts of your business can really change your AI?

What are you seeing most companies get wrong on their mission to implement AI?

You've got two kind of different challenges.

One is...

Now that's the Moonshot, ladies and gentlemen.

Everybody, welcome to Moonshots.

In today's episode, we're going to be discussing why all companies need to become AI

companies in 2026.

How they do that, what happens if they don't.

We'll discuss whether or not big legacy companies can even make such a dramatic change

...