Artificial intelligence is fueling an unprecedented rush to build data centers. Aon estimates that $1.3 trillion will be invested in the next five years, while McKinsey projects $6.7 trillion in cumulative investment needed by 2030 to meet compute demand. Utilities and policy groups warn that U.S. data centers could consume up to 9% of national electricity by 2030, intensifying exposure to power reliability, cooling, fire, and business interruption risks.
Data centers are high-value, mission-critical facilities with stringent uptime requirements. As developers scale capacity amid increased AI-driven workloads, effective physical risk assessment and property risk engineering practices are more essential than ever.
Jason Darmofal, Senior Client Executive for Global Sales & Account Management at Global Risk Consultants, joins RIMScast to discuss the rapid AI build-out and the growing opportunity for insurers to underwrite these evolving risks. With 23 years of experience in property risk engineering and underwriting, Jason shares insights from working with leading data center and technology organizations, insurers, and brokerages.
He explains why risk managers—whether in the data center space or simply reliant on cloud and AI—need to pay close attention, as these technologies are powered by critical data center infrastructure.
The audience will learn:
- Key loss drivers in data centers supporting AI and cloud computing.
- How property risk engineering helps quantify and clarify complex exposures.
- What to expect: the evolving risk landscape for data centers over the next three to five years.
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