🚨 Michael Burry Warns AI Bubble Is Worse Than 1999 Dot-Com, Points to His Large AI Shorts in PLTR and NVDA

By | May 31, 2026

Michael Burry, the hedge-fund investor famous for correctly calling the 2008 financial crisis, has issued a new warning about today’s technology-driven markets. In a recent statement, Burry said the “AI bubble looks more awful than the dot-com bubble in 1999,” drawing a parallel between the speculative excess seen during the late-1990s internet boom and what he sees happening in artificial intelligence stocks today.

Burry’s comments focus on the risk that AI valuations and investor expectations may be disconnected from fundamental results. The dot-com period is widely remembered as an era when many internet-related companies were priced for rapid growth, even though a large share had little to no proven earnings power at the time. By comparing the current AI rally to 1999, Burry is arguing that investors may be repeating similar behavioral patterns: chasing momentum, overestimating near-term business outcomes, and paying too much for future potential.

The story also highlights Burry’s positioning, reinforcing that his warning is not purely rhetorical. He is reported to hold a substantial short exposure linked to AI-related companies. According to the report, his total AI short position is roughly $1 billion in value, split across two major technology names: $912 million in Palantir Technologies (PLTR) and $187 million in Nvidia (NVDA). While short positions do not guarantee profits, they indicate that Burry believes downside risk is meaningful enough to take an aggressive stance against parts of the market.

Palantir and Nvidia are both closely associated with the AI trade, though they play different roles in the ecosystem. Nvidia is a key supplier of AI-focused computing hardware and accelerators used to train and run machine-learning models. Palantir is often discussed as a software platform that can help organizations operationalize data and analytics, with market participants frequently linking its growth narrative to broader adoption of AI tools. Because both companies are seen as beneficiaries of AI investment cycles, large shorts in these names imply skepticism about how fully the market has already priced in future performance.

Burry’s track record gives additional weight to the attention his remarks attract. He rose to mainstream recognition after his 2008 bearish bet on mortgage-related assets proved prescient. That history makes his newer predictions especially newsworthy. When investors who are known for contrarian or early calls comment on a bubble-like dynamic, market observers often treat it as a signal to reassess risk, even if they do not agree with the exact timing or magnitude of any potential correction.

The article frames Burry’s message as a warning that the AI sector may be entering a period where expectations are becoming unsustainable. In this view, a bubble does not require that every company in the sector collapses; rather, it can involve a sharp repricing, where high valuations are compressed due to slower-than-expected adoption, weaker margins, or disappointment relative to inflated forecasts. Burry’s stance suggests he expects the market’s current valuation levels and enthusiasm to face a reality check.

The story further emphasizes the scale of his bet as part of why investors are reacting. Large short positions can influence sentiment because they reflect a high-conviction view. Even traders who are not following Burry closely may monitor his disclosures and reported holdings to gauge whether other market participants should be concerned about similar vulnerabilities.

At the center of the report is the question of whether today’s AI enthusiasm resembles past speculative manias. The comparison to 1999 is significant because it signals a belief that the market is again pricing a future that may be arriving unevenly, at higher cost, or after a period of overbuilding and hype. Burry’s claim that the AI bubble appears “more awful” than the dot-com bubble suggests he thinks the current situation may be more severe or that valuation excess has reached an especially dangerous level.

Overall, the news story presents Burry as continuing his role as a prominent critic of speculative excess. His latest warning ties together two key elements: a strong public comparison to a historic bubble and a reported billion-dollar short position across AI-linked stocks. Together, these points serve as the basis for the story’s cautionary tone, implying that downside risk in parts of the AI trade could intensify if market optimism continues to outpace fundamentals.

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