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The AI disruption threat to businesses is concentrated in paperwork- and IP-based white-collar industries like software, banking, accounting, and compliance, not in physical-product businesses like Nike or Walmart.

Pash argues Alex Karp's warning that AI labs will 'steal your IP' only really applies to paperwork-heavy, white-collar businesses (banking, accounting, compliance, software) since physical businesses like Nike or Walmart have nothing an AI model can absorb. ✦ AI generated

Pash · The Cognitive Revolution · 2026-07-02 · original ↗

starts at this moment · 38:27

Those are all of the businesses where, uh you have IP or relationships built up over years where if you have an anthropic go in and they read through your entire workflow and processing, they can basically absorb all of that into the model. So that is where I think the risk is.

verbatim transcript · starts at 38:27

Transcript · around this moment

38:27built up over years where if you have an anthropic go in and they read through your entire workflow and processing, they can basically absorb all of that into the model. So that is where I think the risk is. So when Alex Karp is talking about this, he's really talking about, you know, he's really creating this aspect of fear and risk, but it's only going to affect a a a a portion of

38:49the economy. And unfortunately, that portion is the portion that has been growing dramatically in the last like 30 or 40 years. The paperwork, white collar, um, you know, type of professions have grown dramatically. The physical, the physical stuff has not grown a lot. physical buildout in the US has not grown that much in the last 30 40 years. Um so I think that's really the perspective that he's coming coming

39:11from and I don't think like and yes the paperwork businesses are under threat I think uh because you know this thing is going to be great at complying with rules and reading the regulations way way better than any human is ever going to be right. Um and I think that that is a bridge that they have to cross. Uh besides so enterprises I you know they're concerned about the

39:35cost of these things. They're a little bit worried that you know the return on investment is not there. But on the other hand okay I was at the AI engineers this is a good segue. I was at the AI engineers welfare uh first two days of this week and um if if you don't know >> shout out to Swix >> shout out to Swix. So Swix uh he

39:52organizes the AI engineers worldfare. um it's been about 3 years now and he brings in uh everyone who's involved in basically implementing uh models in their companies and is concerned about these things and he brings in a host of speakers uh all of the top companies are sponsors and their booths etc etc and I was speaking to people who were not in tech right so I was speaking to a

40:22guy who was logistics CTO from the Midwest West and another guy who was you know running an accounting firm like you know back back office somewhere else right so these people were not actually a lot of them were not actually in Silicon Valley like full-time but they run teams who are using AI to solve customer problems on a day-to-day basis and so the logistics guy was telling me

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