Michael Burry’s Critique of Palantir: An Analysis of Contrarian Views on AI Investment
Prominent investor Michael Burry, known for accurately predicting the 2008 financial crisis as depicted in "The Big Short," has voiced significant concerns about Palantir Technologies (PLTR). Recent comments on social media suggested that Palantir’s growth is being overshadowed by AI start-up Anthropic (ANTH.PVT), resulting in a notable 7% drop in Palantir’s stock value.
Burry, founder of Scion Asset Management, previously shared data highlighting Anthropic’s rapid rise in annual recurring revenue (ARR), which surged from $9 billion to $30 billion within mere months. He argues that this shift indicates a broader trend where companies are gravitating towards more "accessible, cost-effective, and user-friendly" solutions.
This criticism isn’t new; Burry has adopted a bearish stance on Palantir for some time. Back in September 2025, he disclosed a significant short position in the company, predicting a prolonged downturn. He pointed out that while Palantir may engage with government contracts—which tend to offer lower margins—Anthropic is scaling rapidly. Burry further remarked that it took Palantir two decades to reach $5 billion in revenue, contrasting sharply with Anthropic’s fast-paced growth.
Burry contends that Palantir lacks the characteristics of a high-growth tech company, instead likening it to a low-margin consulting firm. A key aspect of Palantir’s business model involves deploying its engineers, known as Forward Deployed Engineers (FDEs), to work closely with clients for extended periods. This operational structure is classified under "professional services" in the company’s annual reports, suggesting that their revenue primarily derives from human labour rather than pure product sales.
In contrast, Anthropic offers a more straightforward approach with its plug-and-play API, enabling businesses to easily incorporate AI capabilities without the lengthy deployment associated with Palantir’s services.
While both companies serve distinct roles within the technological ecosystem—Palantir as a secure data operations platform for organisations like the Department of Defense and Anthropic providing underlying AI intelligence—Burry warns that Palantir’s absence of proprietary AI technology puts it at a disadvantage as the market evolves towards direct engagement with AI providers.
This vulnerability became apparent in early March when a fallout over safety protocols led to a ban on Anthropic by the Trump administration. This ban compelled contractors, including Palantir, to eliminate Anthropic’s AI from their systems, necessitating significant rebuilding efforts on their platforms to adapt.
Despite Burry’s commentary, opinions on Wall Street remain polarized. Analyst Dan Ives from Wedbush maintains an optimistic outlook, reiterating an Outperform rating with a price target of $230, citing Palantir’s strong position within the AI landscape as a competitive advantage.
Conversely, Morgan analyst Sanjit Singh adopts a more cautious perspective regarding Palantir’s valuation. Although Singh acknowledges that Palantir has successfully navigated the preliminary stages of the AI cycle with consistent growth, he cautioned that its current trading valuation—approximately 38 times its projected 2027 sales—might render future gains challenging, even in light of potentially strong performance results.
For proponents of Palantir, the overarching argument is that sophisticated AI systems necessitate the structured data frameworks that Palantir provides, particularly within government contexts. However, Burry, with his noted contrarian approach, is betting that market preference may shift towards the intelligence-driving firms of the AI industry—like Anthropic—over the operational powerhouses, such as Palantir.
In summary, while the landscape of AI and technology continues to be dynamic and contested, Burry’s critique adds a significant voice to the ongoing discussion surrounding investment in companies straddling traditional data operations and innovative AI solutions.
