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HOME/PEOPLE/ALEX KARP
// PERSON

Alex Karp

ROLE CEOAT PALANTIRMENTIONS 17LAST SEEN JULY 20, 2026
// BIO

CEO of Palantir Technologies, known for enterprise AI and data analytics.

Discussed in
// RECENT MENTIONS
// SIGNALS
17 SIGNALS
01
mention·All In·JULY 20, 2026

We're all about forward deployed engineers at Palantir and they're doing the same thing. You have Alex Karp from Palantir freaking out saying, how can you give your alpha to these companies? When in my opinion, he's just saying they're doing what we're doing.

Source
02
mention·All In·JULY 18, 2026

He started with Karp's idea, but then he kind of provided a recipe or roadmap for how enterprises should operationalize that... enterprises have to establish a real trust boundary with private evals, proprietary learning loops inside the tenant, decoupled orchestration, and the explicit right to fine-tune their own outputs.

Source
03
mention·Axios AI+·JULY 16, 2026

Frontier AI tools from closed model providers are too expensive and don't offer enough clarity on IP protections.

Source
04
mention·Sourcery Newsletter·JULY 14, 2026

Palantir CEO Alex Karp said enterprises want to 'own the means of production' instead of 'transferring their alpha' to OpenAI or Anthropic. Cerebras CEO Andrew Feldman says Karp is right.

Source
05
mention·Sourcery·JULY 13, 2026

Karp said not too long ago on CNBC... talking about sovereign AI and how every company should own the full stack.

Source
06
mention·All In·JULY 3, 2026

"I think the thing that he said that I hadn't really thought about in quite those terms is he started talking about AI safety in the enterprise and what that really looks like... What technical customers want is control over their compute, their models, their data stack, and their alpha, meaning their proprietary knowledge. They want to know they own the means of production."

Source
07
mention·StrictlyVC·JULY 2, 2026

He called the AI industry 'effing insane' in a CNBC interview, accusing leading model companies of overcharging customers, harvesting their data, and leaving CEOs privately 'livid.'

Source
08
mention·AI+ Government·JULY 2, 2026

Palantir CEO Alex Karp's scathing critique yesterday shows U.S. AI labs are no longer viewed as untouchable.

Source
09
mention·Newcomer Newsletter·JULY 2, 2026

"Palantir's Alex Karp went on a CNBC rant Wednesday about how enterprise customers were furious with the cost of AI and the business practices of the foundation model companies, and would soon start acting on that."

Source
10
mention·Sourcery Newsletter·JULY 2, 2026

"This is the voice of American business that is being channeled through me." — Alex Karp on token-based AI pricing delivering no compounding value

11
mention·Sourcery·JUNE 20, 2026

Last year in 2025, it was publicly reported that Alex Karp spent around $17 million on flying... it came out to around three months in the air.

Source
12
mention·The a16z Show·JUNE 19, 2026

What percentage of the investors in Palantir have read the S-1, K1, right? Like, you know, 0.0001%. What percentage have you seen Alex on YouTube doing his thing? Yeah, exactly. You know, 100%.

Source
13
mention·The a16z Show·JUNE 19, 2026

New media is unlimited formats, unlimited channels, and the brand is now the person. So it's not like where people talking about like when every Democrat came out and was mad about SpaceX. They weren't. They were mad about Elon because he's a brand.

Source
14
mention·Sourcery·JUNE 15, 2026

All of a sudden I'm getting Alfred Lynn and Alex Karp and Anduril and all these people.

Source
15
mention·Sourcery Newsletter·JUNE 12, 2026

Alex Karp — Mentioned alongside Banister and Luckey as a genuinely authentic founder

16
mention·Sourcery·JUNE 11, 2026

Alex Karp is definitely another one... you would never be able to tell from how tech media or mainstream media characterize people who genuinely is off.

Source
17
mention·StrictlyVC·JUNE 11, 2026

Palantir CEO Alex Karp says enterprise customers are privately 'unhappy' with frontier AI labs, arguing that companies like OpenAI and Anthropic are too focused on selling token usage and not enough on implementation, where he says most of the value from large language models will be created over the next several years.

Source

AI-extracted from podcast / newsletter / paper summaries. May contain errors.