Emerging Litigation Risks in Financing AI Data Centers Boom (quinnemanuel.com) AI

A Quinn Emanuel client alert says the rapid buildout of AI data centers—largely financed with debt via corporate bonds, private credit, securitizations, and GPU-collateralized facilities—could trigger a wave of litigation. It highlights nine emerging risk categories, including default cascades across layered capital stacks, securities-fraud suits tied to opaque off-balance-sheet structures, disputes over structured-credit enhancements, margin calls and valuation fights over depreciating GPUs, and construction/power contract and take-or-pay disagreements. The note also points to cross-border investor-state arbitrations and environmental/community challenges tied to energy and water demand.