The insurance industry is facing a crisis that could slow AI infrastructure expansion: data centers powering artificial intelligence are concentrating massive insured value in disaster-prone regions, and traditional insurance models may not be equipped to handle the risk. Construction costs for a single facility can exceed $20 billion before equipment installation, and more than a quarter of U.S. data center capacity sits in areas experiencing three or more large-hail days per year, according to research from Swiss Re Institute .

The scale of the problem is staggering. Global premiums tied to data centers are expected to more than double to $24.2 billion by 2030 from $10.6 billion today, driven by capital spending from the five largest cloud service providers forecast to exceed $600 billion in 2026, with roughly 75 percent of that spending directly tied to physical AI infrastructure . Yet the re/insurance industry can support only a fraction of the required coverage limits at competitive rates for traditional construction risk policies.

Why Are Data Centers Clustering in High-Risk Zones?

The answer lies in the infrastructure demands of modern AI. Data centers require extensive land and access to renewable energy sources, which often means locating in regions with significant natural hazard exposure. Using catastrophic risk assessment tools and U.S. Department of Energy data, Swiss Re found that roughly 40 percent of U.S. data center capacity could be in significant-to-very-high tornado-day zones .

The concentration problem is particularly acute in places like Abilene, Texas, where developers are clustering multiple data centers within approximately 20-mile radiuses. This geographic clustering means a single regional catastrophe event could affect a high density of insured value simultaneously. A tornado's debris field can traverse separated structures on the same campus, damaging multiple buildings at once and producing losses higher than typical single-location maximum probable loss assumptions .

What Makes AI Data Centers Uniquely Vulnerable to Damage?

Modern AI data centers have physical characteristics that make them particularly susceptible to storm damage. Their large footprints, low-slope roofs, numerous surface penetrations for building services, and equipment highly sensitive to humidity all contribute to water damage vulnerability. Critical outdoor equipment faces direct exposure to hail and debris impacts .

The emerging risks are multiplying. While fire accounts for only about 11 percent of data center loss events, it drives more than 42 percent of loss costs, according to a 15-year study cited in the Swiss Re report. A key concern is the integration of lithium-ion battery backup units into server racks, creating an ignition source that did not previously exist within data processing equipment rooms. Fire-resistance wall ratings have increased from one to two hours, and sprinkler expectations have become more stringent .

Liquid cooling systems, adopted to manage the significantly higher heat output of modern graphics processing units (GPUs), present another growing exposure. Liquid-related losses represented nearly 24 percent of total data center loss costs in recent reviews. The increased scale and complexity of cooling networks create water damage risks from improper installation or maintenance .

How to Assess and Mitigate Data Center Insurance Risks

• Comprehensive Risk Mapping: Evaluate data center locations using catastrophic risk assessment tools that account for hail, tornado, and flood exposure over historical periods, rather than relying on single-year weather data or general regional assessments.
• Integrated Coverage Tracking: Consolidate insurance programs for buildings, equipment, and power plants into unified tracking systems to identify total capacity exposure and prevent gaps where a single physical event could trigger claims across multiple programs.
• Technical Design Engagement: Involve specialized engineers and risk managers earlier in data center design, siting, and power infrastructure decisions to identify hazards before construction and ensure compliance with emerging fire, cooling, and electrical safety standards.

Power supply remains the largest driver of business interruption risk, responsible for 45 percent of data center outages, according to the Uptime Institute. AI server racks can require more than 100 kilowatts, compared to 5 to 15 kilowatts for traditional servers. Roughly 30 percent of planned U.S. data center capacity could include on-site power generation, and battery energy storage systems bring significant fire, explosion, and toxic gas hazards .

Risk managers and their carriers face significant accumulation challenges. Large data centers are sometimes presented to insurers through separate programs for buildings, equipment, and power plants, making it difficult to track total capacity exposure. Growing internet connectivity of operational technologies, including power, cooling, security, and monitoring systems, is also creating new cyber vulnerabilities .

"As data centers become increasingly concentrated, energy dependent and systemically critical, they face an evolving spectrum of exposures. For the re/insurance industry, that means moving beyond passive risk transfer to actively enabling resilience, engaging earlier in design, siting and power decisions, while also requiring greater transparency on the underlying risk," said Jimmy Keime, head of engineering and nuclear for Swiss Re.

Jimmy Keime, Head of Engineering and Nuclear, Swiss Re

The industry is evolving from relatively low-hazard electronic equipment occupancy to complex, high-energy-density facilities, often before researchers have fully assessed associated hazards or prescriptive regulations exist. With few next-generation facilities fully operational, empirical loss experience remains limited, making specialized technical assessment essential for underwriting .

Meanwhile, companies like Furukawa Electric are betting heavily on the infrastructure buildout. The Japanese manufacturer announced plans to invest approximately 55 billion yen (roughly $380 million) to scale production of cooling modules and heat sinks for data centers serving generative AI demand, reflecting confidence that the infrastructure expansion will continue despite insurance headwinds .

The insurance challenge is not merely academic. If carriers cannot offer competitive rates for the massive coverage limits required by hyperscalers, or if risk accumulation concerns force them to decline coverage altogether, the cost of building AI infrastructure could rise significantly. This could slow the pace of data center expansion and reshape the economics of AI deployment globally. The re/insurance industry's ability to adapt its risk models and pricing will be crucial in determining whether the AI infrastructure boom continues unabated or faces unexpected friction.