If you’re negotiating a colocation contract or a build-to-suit lease right now, there’s a line item you probably haven’t scrutinized: who actually eats the loss if a cooling failure takes a GPU hall offline for three days, or if a hailstorm dents a rooftop chiller plant serving a $2 billion campus. The insurance market backing data centers is scrambling to reprice that risk in 2026, and the gap between what buyers assume is covered and what’s actually in the policy is wide enough to blow up a financing model.
The market can’t keep up with the capex
Swiss Re’s Institute puts global data center insurance premiums on a path from roughly $10.6 billion today to $24.2 billion by 2030, tracking a sector growing at a 14% compound annual rate. That sounds like healthy market expansion until you compare it to what it’s insuring: hyperscaler capital spending is forecast to top $600 billion in 2026, a 36% jump year over year, with roughly 75% of that — about $450 billion — going straight into physical AI infrastructure. A single data center can now cost $20 billion to build and effectively double in value once the compute hardware goes in. Premiums are growing fast; the assets they’re supposed to cover are growing faster.
That mismatch matters to anyone signing a lease or a purchase agreement, because underinsured risk doesn’t disappear — it gets passed downstream, usually as higher pass-through costs, tighter indemnification language, or contract clauses that quietly shift exposure onto the tenant.
Why insurers are nervous about the risk profile, not just the price tag
Data centers used to be a boring, low-hazard line for underwriters: electronic equipment in a climate-controlled box. That’s no longer accurate. Swiss Re’s loss analysis, drawn from FM’s 15-year claims study, found fire events caused only 10.9% of loss occurrences but 42.3% of total loss costs — a small number of incidents doing outsized financial damage. Liquid-related losses, driven in large part by the rapid rollout of direct-to-chip and immersion cooling systems, now account for nearly a quarter of total loss costs, with sprinkler leakage and escaped coolant from new systems both showing up as recurring line items.
Geography adds another layer insurers are pricing in that most buyers haven’t thought about: more than a quarter of US data center capacity sits in areas that see three or more large-hail days a year, and roughly 40% sits in zones with meaningful tornado exposure. Add the fact that around 30% of planned US capacity is expected to include on-site power generation — turbines, gensets, or fuel cells that introduce industrial-scale fire and business-interruption risk that a standard office-park policy was never built for — and you have a facility type that looks nothing like the “electronic equipment occupancy” insurers used to model. Power density is part of the story too: traditional server racks pulled 5–15 kilowatts; AI racks can exceed 100 kilowatts, concentrating both value and heat load into a much smaller physical footprint.
The financing blind spot: SLA penalties and lease termination risk
The sharper problem, according to Parametrix CEO Jonathan Hatzor, is that data centers are still financed like conventional real estate — buildings with secured, long-term leases — when they now function as, in his words, “high-performance compute factories.” That distinction has teeth. In hyperscale colocation contracts, an outage of just 26 seconds can trigger severe SLA penalties that behave less like an insurance claim and more like an uncapped, variable operating expense. Chronic performance failures can give the tenant grounds to terminate the lease outright, which turns an operational hiccup into a financing event — the kind of income disruption that lenders modeling 15- to 20-year debt service never priced in.
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📞 Book a Discovery CallLayer on GPU economics and the mismatch gets worse: the compute hardware inside the building typically depreciates over about five years, while the mortgage on the building runs several times longer. Insurance and risk transfer products built for a 30-year commercial real estate asset don’t map cleanly onto a facility whose most valuable component is obsolete before the loan is a third of the way paid off.
What this means for colocation and build contracts
Amwins, which places specialty insurance for large data center developers, flags a set of coverage gaps that show up repeatedly during underwriting: phased handovers between general contractors and operators create ambiguity over exactly when coverage shifts from a builder’s-risk policy to an operational property policy; construction timelines now regularly stretch past five years because of procurement and equipment lead times, which can outlast the delay extensions built into the original policy; and power delivery obligations — the utility or on-site generation commitments a developer makes to a tenant — often aren’t covered under standard property or builders-risk forms at all. That last gap connects directly to the financing and interconnection delays covered in our look at why $68 billion in 2026 projects got blocked or delayed: a policy that doesn’t cover a late power turn-on leaves the financial exposure sitting with whoever signed the lease expecting power on a specific date.
Amwins also points to a geographic concentration risk worth watching: more new capacity is landing in Texas and other Southern states, markets with real catastrophe exposure that could strain available insurance capacity as the buildout accelerates. Meanwhile, capital that would normally chase pure construction risk is increasingly hedging exposure through adjacent products — trade credit insurance tied to data center supply chains has grown as insurers diversify away from concentrated single-asset risk, a signal that the market itself sees this as a genuinely different risk category than traditional real estate, not just a bigger version of it.
What to actually do before you sign
None of this means data center capacity has become uninsurable — it means the insurance conversation has to happen earlier and at a level of technical detail buyers haven’t historically needed. A few concrete moves worth making before you commit to a colocation contract, a build-to-suit lease, or a purchase agreement tied to a specific facility. First, ask directly whether builder’s-risk and operational property coverage are contractually defined at handover, and get the transition date in writing rather than assuming it’s implied. Second, find out whether the provider carries — or you need to separately source — forced outage or parametric coverage for power delivery obligations, since standard property policies largely won’t touch that exposure, as our colocation pricing breakdown found is already a growing driver of the premium buyers pay over sticker-price power rates. Third, check the facility’s catastrophe exposure against its actual location rather than assuming a major data center hub is automatically low-risk — hail and tornado exposure don’t correlate with market maturity. Fourth, if SLA penalty clauses are steep enough to function as a financial instrument in their own right, ask whether that exposure is insured or simply absorbed as a cost of doing business, because in a downside scenario that’s the number that decides whether a deal still pencils.
The data center industry spent the last decade treating insurance as a background cost of doing business. In 2026, with a $24 billion premium market straining to keep pace with a $600 billion capex wave, it’s become a due-diligence item that belongs in the same conversation as power availability and interconnection timing — because increasingly, it’s the same conversation. Buyers who ask the coverage questions now avoid finding out the hard way, mid-lease, exactly what wasn’t insured. Start with our Data Center Buyer’s Toolkit to build that due-diligence checklist before your next contract goes to signature.
Written by
Raajeev Ratra
Data Center Infrastructure Expert | 15+ Years in DC Design, Operations & Project Management
Raajeev is a seasoned data center professional with hands-on experience in hyperscale facilities, colocation design, power & cooling infrastructure, and global DC operations. He shares practical insights to help engineers and IT leaders build better infrastructure.