Tech Firms Increased Use of Captive Data Insurance
As data center valuations reach $50 billion, companies are self-insuring to address gaps in commercial coverage.
Updated on Sept. 19, 2026 in Data Centers
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Large technology firms have increasingly turned to captive insurance to manage risks associated with hyperscale data centers that commercial insurers often reject. This shift, which has seen captive insurance premiums grow by 20% over two years, provides firms greater control over coverage and claims.
Why it matters
Traditional insurance markets lack the capacity to cover the extreme valuations of modern AI-focused facilities, which can range from $10 billion to $50 billion per site. Self-insuring allows companies to bypass excessive pricing while protecting infrastructure investments.
Aon has expanded its Data Center Lifecycle Insurance Program capacity to $5 billion, marking a 43% increase. The broader captive insurance market now includes more than 6,000 entities managing $240 billion in total premiums.
The players
Aon
A global professional services firm that provides risk, retirement, and health solutions, notably managing capacity for large-scale data center infrastructure.
The details
Companies establish captive insurance subsidiaries—wholly owned entities created to insure the risks of their parent organizations—to manage complex infrastructure profiles that commercial insurers decline. To handle extreme risks, these firms often utilize catastrophe bonds, financial instruments that transfer risks from an insurer to capital market investors. This allows operators to maintain coverage continuity for facilities where equipment and construction values reach up to $50 billion.
Timeline
Captive insurance premiums increased by 20 percent between 2024 and 2026.
Cumulative insurance premiums for AI-driven data centers are projected to reach $91 billion by 2030.
The Tech Race
The expansion of captive insurance models follows the trend of rising hyperscale data center infrastructure valuations, which have pushed the limits of traditional risk underwriting. This financial shift marks a departure from reliance on standard commercial policies for critical AI hardware.
This transition impacts the financial risk models used by hyperscale operators and the hardware vendors building the $50 billion facilities. Users of AI services will likely see these costs reflected in service provider stability and infrastructure uptime as firms take internal control of their operational risks.
The takeaway
The move toward captive insurance signals that current commercial capacity cannot keep pace with the massive capital intensity of modern AI data centers. Investors should monitor the projected $91 billion in cumulative premiums by 2030 to gauge the long-term risk profile of the hyperscale sector.
Further reading
Learn more about the latest infrastructure trends in Data Centers.
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