The Exchanges

Every argument clarity score on this site is built from rows on this page. Each question and answer was assessed with names hidden, the host's own answers included, on four things from 1 to 5: directness (does it answer the question asked), coherence (do the ideas follow), precision (concrete details and clear references), compression (says a lot per word). The weighted mix (30/30/25/15) is the exchange score. A person's published score averages their exchange scores on raw tape only, at least 8 of them, shrunk toward the cohort mean. Full method →

Bob Sternfels no published score: only 1 usable exchange on raw tape, and a fair score needs 8+ record → ← everyone

Every exchange below was scored with names hidden, four dimensions each from 1 to 5. An exchange's score is 0.30·directness + 0.30·coherence + 0.25·precision + 0.15·compression. The published score averages the raw tape exchange scores and shrinks small samples toward the cohort mean, so five great answers can't beat twenty good ones. Produced feed rows count only toward coarse estimates, never toward a full score.

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Answered raw tape D 5 · C 4 · P 4 · Cm 4 4.30

Q this massive revenue ramp? Because you get to see all the incumbent businesses. You get to see the elite businesses that are growing, you know, two or three times X each year. You also get to see the ones that are struggling. And then you see these large numbers and 10 X year growth. What's driving this in your mind? And is it sustainable? I mean, that's the other question.

A I hate to give you the classic consultant answer, but I do think it depends, and I think we're at a, we're at a, we're at a tipping point this year, and I'll tell you why. I think what's underpinning this X and X, you know, we work with most of the large enterprise in the world, um, across all industry verticals, and what we have seen is a huge uptake of leveraging these technologies, like Anthropic. We're, we're leveraging Anthropic. And so large enterprise is using technology at a scale and rate that they haven't before. And if you look at IT spend as a percent of revenue, et cetera, all of this stuff has gone up. And I think that is propelling the 10 X to 10 X. Um, the conundrum is, and it's, you know, been widely written about, um, Realizing enterprise at scale value in non-technology companies is proving harder than people think.

AI assessment note: “large enterprise is using technology at a scale and rate that they haven't before”

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