Palantir CEO delivers a sharp critique of OpenAI and Anthropic as results accelerate

Palantir Technologies said it turned in its strongest revenue-growth quarter in company history in the first quarter of fiscal year 2026, a performance it linked to accelerating adoption in the United States commercial market. The quarter’s momentum came with a particularly large jump in U.S. commercial revenue, which the report said rose 133% year over year.

Alongside the financial update, Palantir also raised its full-year guidance by 10 points, according to the same report. While the company did not detail in the cited article how much of that outlook lift is attributable to specific product lines or customer segments, the move indicated management’s confidence that demand trends are broadening beyond initial deployments.

The most contentious element of the coverage was not a number but the tone of Palantir’s leadership toward the mainstream AI ecosystem. The report characterizes Palantir CEO Alex Karp as delivering a “blunt verdict” on OpenAI and Anthropic, two of the best-known developers of large language models. The article frames his comments as skeptical and direct, but it did not provide enough detail in the material available here to accurately reproduce the substance of the critique or quote it verbatim.

What Palantir’s leadership appears to be reacting to, based on the theme of the coverage, is the tension between model makers and deployers of enterprise AI systems. Palantir has positioned itself as an operator for deploying and integrating AI into real workflows and decision-making environments. In practice, that means it often competes less on which foundation model is “best” and more on whether customers can operationalize AI outputs reliably, securely, and at scale.

The sector context is that AI spending and experimentation have broadened from research labs into enterprise IT budgets, with buyers increasingly looking for systems that connect models to data, governance, and operational processes. In that environment, critiques like the ones attributed to Palantir’s CEO are often less about whether a model can generate text and more about whether organizations can trust and control the end-to-end system.

Palantir’s latest quarter also underscores that it is seeing commercial traction in a market where many AI vendors are still trying to translate demos into recurring revenue. The reported 133% growth in U.S. commercial revenue suggests that at least part of Palantir’s platform is finding commercial buyers willing to pay for outcomes rather than experiments.

Still, several details remain unclear from the information provided here. The article’s excerpted material does not specify the exact metric or range behind the “10 points” guidance increase, nor does it break out which product or service lines drove the quarter’s results. Similarly, it does not provide the full transcript or specific claims from the CEO’s remarks about OpenAI and Anthropic, limiting how precisely the critique can be summarized.

Investors and customers will likely watch the next steps in two areas. First, whether Palantir can sustain the elevated U.S. commercial growth rate into subsequent quarters while maintaining margins. Second, whether Palantir’s public stance toward leading model providers is accompanied by clearer messaging on how it selects, wraps, or works around third-party models in customer deployments. Those answers would help determine whether the “blunt verdict” is primarily rhetorical or tied to a concrete shift in product strategy.