Alton Risk · Data Center & AI Infrastructure

Why insurance capacity for AI data centers is tight

Developers building AI infrastructure are finding that the largest projects can exceed what any single insurer wants to carry. Understanding why helps you plan a placement that works.

Why is insurance capacity for AI data centers tight?

Project values have risen sharply, rack density concentrates more value and heat into each facility, and a single large campus can represent a very large loss from one event. Insurers limit how much they will put on any one risk, so large projects are usually placed across several insurers and layers, which takes planning and clear engineering information.

Values are growing faster than appetite

Risk and Insurance reported in May 2026 that the average insured data center project value has grown from about 150 million dollars to as much as 3 billion over five years. Swiss Re Institute projects the global data center insurance market to grow from about 10.6 billion dollars to about 24.2 billion by 2030. Premium is growing, but individual insurers still manage how much they accept on any single site.

Density and concentration

AI facilities pack a great deal of value into a small footprint, and they rely on power and cooling systems that are newer and in some cases less proven at scale, such as liquid cooling. A single fire, a cooling failure or a power event can affect a large share of a campus at once. Underwriters evaluate that concentration of loss carefully, which can reduce the capacity they are willing to offer.

How placements are structured

Large programs are typically built in layers, with a primary insurer and excess layers above it, and with the total capacity spread across several markets. Construction projects add a builder's risk policy with its own timing and delay in start-up considerations, which cover the loss of anticipated income if completion is delayed by a covered event. Each market has its own view of the risk, so the order and timing of approaches matters.

What helps a developer get the capacity it needs

Start early, since a large placement can take weeks to assemble. Prepare a clear technical submission describing the site, the design redundancy, the cooling approach, fire protection, the contractors and the construction schedule. Be realistic about limits for natural catastrophe perils, which are often constrained by location. A broker who can read the engineering and speak to underwriters in their own terms improves the odds that capacity materializes when the project needs it.

  • Begin the placement process well before financial close or construction start.
  • Provide engineering detail on power, cooling, fire protection and redundancy.
  • Identify peak loss scenarios and how the design limits them.
  • Plan layered capacity across several insurers.

Last updated October 22, 2026. Written by the Alton Risk placement team.

AI data center capacity questions

How early should I start the insurance process for a new campus?

As early as possible, since a large placement can take weeks and lenders and contractors often have insurance requirements tied to financial close and construction start.

Why do insurers care about liquid cooling?

Because it changes the failure modes and loss history is limited. Clear documentation of design, testing and monitoring helps underwriters get comfortable.

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