Palantir CEO attacks OpenAI, Anthropic over IP theft claims—but case mostly weak

Karp's critique centers on two claims: that enterprises are wasting money on tokens from frontier AI labs and that those labs are stealing competitive secrets. The evidence for the first claim is real—many large companies are indeed concerned about return on investment and token costs, particularly in agentic use cases (AI that makes decisions and completes tasks without human intervention). However, the body notes that some companies are reporting value, particularly in software development and customer service, and that underperformance often reflects inadequate strategic prioritization rather than vendor failure. The second claim—IP theft—is largely unsupported for typical enterprises. OpenAI and Anthropic maintain explicit non-use policies for customer data in model training, and most large non-tech businesses access these models through intermediaries like Microsoft Azure and Amazon Bedrock where deeper data sharing does not occur.

The credible risk applies to a narrower category: design partners and early-access collaborators who grant labs deeper visibility into their workflows. The Figma-Anthropic case is a genuine example: Anthropic built a design tool while partnering with Figma, and Figma's exit and complaints suggest asymmetric access and insufficient transparency. Other alleged instances mentioned in the body come from venture investors—Jason Calacanis and Chamath Palihapitiya—who have axes to grind, including stakes in Palantir itself.

Karp's proposed alternative—that AI labs should charge based on value delivered rather than tokens consumed—is self-serving (Palantir uses value-based pricing) and economically inconsistent. Software and utilities have long charged per unit of consumption, not per unit of customer outcome, because general-purpose technologies serve too many use cases to price by result. His suggestion also contains an internal contradiction: if IP theft is a genuine concern, shifting to a model where AI companies perform tasks directly for customers would actually expose IP more, not less, since the vendor would need deeper operational access.