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BW Brandon Whichard On The Enterprise AI Show

“You have like Sam Altman, who's just always telling you that like it's going to be bigger and better than ever before… And you have Anthropic, who's almost opposite, is like, this is so good. I can't tell you anything, which in turn is a great story… So it's like you have two opposite, but like inadvertent storytellers driving valuations. And it's like hard to prove them wrong in any meaningful way at this moment.”

The Enterprise AI Show · October 2026

“You have like Sam Altman, who's just always telling you that like it's going to be bigger and better than ever before… And you have Anthropic, who's almost opposite, is like, this is so good. I can't tell you anything, which in turn is a great story… So it's like you have two opposite, but like inadvertent storytellers driving valuations. And it's like hard to prove them wrong in any meaningful way at this moment.” — Brandon Whichard, The Enterprise AI Show

The hosts are puzzling over why AI lab valuations keep climbing while enterprise buyers say they aren't seeing the return. His answer is the story: one lab sells relentless optimism, the other sells capabilities too dangerous to discuss, and both make investors want more.

The Enterprise AI Show · 2026-10-18 Listen to the episode → More from Brandon Whichard →

Transcript

The Enterprise AI Show Around 22:21 into the episode
Brian Gracely

piece that none of us

Aaron Delp

can find anywhere.

Brandon Whichard

It's funny because you kind of, the way you say this, like I would answer the question and be like, it's just because of the story. And it's almost inside of this, you have the two opposite storytellers. You have like Sam Altman, who's just always telling you that like it's going to be bigger and better than ever before, right? And he has a long history of doing that. So he's like the showman style. And you have Androbek, who's almost opposite, is like, this is so good. I can't tell you anything, which in turn is a great story, right? Which is, what do you mean you can't tell us? They're like, this is so incredible, what we're about to do. It's so dangerous. We can't even discuss it, which of course makes you want to know more. So it's like you have two opposite, but like inadvertent storytellers driving valuations. And it's like hard to prove them wrong in any meaningful way at this moment.

Aaron Delp

I'm trying to think of this analogy. And it almost feels if we were to go back in time and you were the person who like invented sugar cane or figured out sugar cane and you were like, come here, come taste this stuff. See how awesome it is? What if this was all, what if you use this all day, all…

Brandon Whichard

And you're like, oh,

Brian Gracely

so there really wasn't a use case. The use case was just like, I'm addicted to it, but it didn't necessarily benefit me in any way that I like think of as like positive, but it, but I kept using it over and over. There is an easy analogy to solve. Therein lies

Speaker names from our own diarization · position estimated from where the line sits in the episode

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