Palantir CTO argues AI labs underinvest in diffusion and safety
In a recent interview, Palantir CTO Shyam Sankar criticized AI labs for overemphasizing model development while neglecting how to integrate AI into real-world workflows. He argued that AI’s economic impact hinges on diffusion—how quickly and effectively it spreads into enterprises—rather than just model improvements. Sankar also highlighted a lack of systems engineering in AI deployment, citing…
Key points
- Sankar claims AI labs prioritize model development over diffusion, risking slow economic adoption
- Palantir’s AI strategy emphasizes workflow integration, not human replacement, to drive ROI
- Labs lack systems engineering for AI safety, per Sankar, who cites CPU cache exploits as a flaw
Q&A with Palantir CTO Shyam Sankar on diffusing intelligence, safety, AI lessons, forward-deployed engineering, Anthropic vs. the US, AI religion, and more
stratechery.com · 29 October 2026
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