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Morgan Stanley is seeking to mitigate risks from its large loan portfolio in AI-driven data centers by exploring significant risk transfer (SRT) deals, amid concerns over overcapacity, power shortages, and potential defaults. This reflects broader financial anxieties about the sustainability of the booming yet volatile sector.
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The article compares the AI data center boom to the 2000s telecom crash, noting risks of overinvestment and overcapacity. However, it highlights key differences like exponential AI demand, high utilization rates, real revenues, and power constraints. Ultimately, AI's infrastructure appears more resilient, potentially avoiding telecom's pitfalls.
Driven by AI and cloud computing, U.S. data centers are projected to nearly triple their energy demand to 106 gigawatts by 2035, straining grids and raising costs. This surge prompts renewable energy adoption, efficiency innovations, and policy measures to balance growth with sustainability.
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On November 28, 2025, a cooling system failure at CME Group's Aurora data center halted global futures trading for over 10 hours, disrupting trillions in derivatives from stocks to commodities. The incident exposed infrastructure vulnerabilities, prompting calls for enhanced redundancies and resilience in financial systems.
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