Michael Burry, the investor known as the real-life model for the film 'The Big Short,' identified the private credit market as a potential risk factor in the artificial intelligence investment boom on May 27. Burry warned that insurance companies have accumulated large holdings of risky, low-liquidity credit products as assets, and prolonged high interest rates could cause significant losses that spread into systemic financial industry risks. He specifically highlighted that private equity-owned insurers have been incorporating structured securities like asset-backed securities tied to data center and semiconductor lease contracts.
Insurance Companies Accumulate AI-Related Structured Securities
Burry stated through his Substack that private equity-owned insurance companies have been incorporating large amounts of riskier, less liquid credit products into their assets in recent years, according to Business Insider on May 27. He noted that private equity firms acquire insurance companies and then add structured securities such as asset-backed securities to their portfolios, with these assets based on data center and semiconductor-related lease contracts. The private credit market has played a major role in supplying funding needed for AI data center construction projects as companies expanded their fundraising efforts.
Rising Treasury Yields Challenge Private Equity Leverage Models
Burry pointed out that higher interest rates sustained for longer periods could serve as a catalyst for a private credit industry crisis. He referenced the US 10-year Treasury yield rising to around 4.68% recently, describing this level as difficult for the private equity industry to accept. Burry explained that the significant rise in US 10-year Treasury yields over the past five years has made the structure of the private equity and private credit industries, which operate based on massive leverage, increasingly difficult to maintain.
Burry Warns of Systemic Financial Risk from Insurance Losses
Burry expressed concern that insurance companies are closely linked to the financial system, meaning large-scale losses at insurers could spread into systemic risks. He stated that if the AI industry collapses and insurance companies' AI-related credit investment assets suffer significant losses, this could lead to risks for the entire financial system. Burry added that if insurance companies go bankrupt, state insurance guarantee funds in the US intervene to protect policyholders, creating the possibility that taxpayers could bear the burden in the worst-case scenario. Burry has consistently expressed caution about AI-related asset prices throughout the year, claiming that valuations of AI-related companies have become excessively high and taking short positions in NVIDIA and Palantir. In April, he assessed that the private credit and private equity industries are "nearing the end," pointing to problems of leverage expansion and increasing illiquid assets.
FAQ
What did Michael Burry warn about on May 27?
Michael Burry warned that the private credit market poses a potential risk factor in the AI investment boom, specifically highlighting that insurance companies owned by private equity firms have accumulated risky, low-liquidity credit products tied to data center and semiconductor lease contracts.
Why does Burry believe higher interest rates threaten private credit markets?
Burry stated that the US 10-year Treasury yield reaching around 4.68% represents a level difficult for the private equity industry to accept, as the significant rise in yields over the past five years has made the leverage-based structure of private equity and private credit industries increasingly difficult to maintain.
How could insurance company losses create systemic financial risks?
Burry explained that insurance companies are closely linked to the financial system, so if AI-related credit investment assets held by insurers suffer significant losses from an AI industry collapse, this could spread into risks for the entire financial system, with state insurance guarantee funds potentially requiring taxpayer support in bankruptcy scenarios.
