The boom in investments opens up $200 billion opportunities in commercial insurance
8 SEPT, 2026
By Joanna Piwko from RankiaPro Europe
The global economy has entered a supercycle of capital expenditure (capex), with strong growth in investments in data centers, energy systems, and other strategic infrastructures that are creating a growing demand for commercial insurance. The Swiss Re Institute estimates that data centers for artificial intelligence and renewable energy infrastructures alone could generate about 200 billion dollars in premiums between 2026 and 2030.
At the same time, the investment boom is creating larger and more concentrated risks, as assets cluster in the same locations and increasingly depend on shared infrastructures and networks.
Gianfranco Lot, Chief Underwriting Officer P&C Re of Swiss Re, states: "We are witnessing the transformation of the digital economy into a real economy. Artificial intelligence requires data centers, power grids, and increasingly complex infrastructures - and all this requires insurance coverage. This creates growth opportunities in multiple insurance branches, but also involves significant concentrations of risk. The use of insurance capacity will depend on our ability to understand and manage them, as well as to obtain compensation for the associated tail risk".
Jérôme Haegeli, Group Chief Economist and Head of Swiss Re Institute, says: "A new era of investment is taking shape, with unprecedented capital flows directed towards the infrastructures that will fuel future economic growth. This also concentrates more value and creates new dependencies between energy systems, supply chains, and digital networks. Insurance is essential to make these investments resilient and financeable".
Artificial intelligence and energy drive a new era of investment
According to the latest sigma report from the Swiss Re Institute Time to build: Expanding the frontier of insurability for the capex super-cycle, artificial intelligence and energy infrastructure are at the heart of the super-cycle of capital investment. Global energy investments are expected to reach $3.4 trillion in 2026, with about $2.2 trillion allocated to renewable energy, nuclear, electric grids, storage, low-emission fuels, energy efficiency, and electrification. At the same time, it is predicted that the five largest US hyperscalers will invest nearly $800 billion in capital expenditures related to artificial intelligence in 2026, while estimates for global capital expenditures for data centers exceed $1 trillion.
These investments are transforming data centers from IT assets into strategic infrastructure. Their energy needs are measured in gigawatts, the asset value in billions of dollars, while their operation depends on electricity, telecommunications, cooling systems, and cloud infrastructure. This change generates significant insurance demand, but also new risk concentrations.
Risk accumulation goes beyond geographical boundaries
The sigma report identifies four structural factors at the origin of risk accumulation: increasingly larger single assets, geographical concentration, supply chain dependencies, and shared physical and digital networks. These factors can reinforce each other, meaning that a single disruption event can affect multiple insured, sectors, and business lines at the same time.
The replacement of some data center campuses dedicated to artificial intelligence, including related computer equipment, can cost up to 50 billion dollars. Data centers also tend to concentrate in areas where electricity, land, water, and connectivity are readily available. Texas and Virginia alone account for over 40% of the current and projected capacity of US data centers. More than a quarter of US capacity is located in areas that could experience at least three days of large hail per year, while about 40% is located in areas that could be exposed to at least three days of tornadoes per year.
In Asia, a similar challenge related to concentration is observed in Taiwan, where about 88% of semiconductor manufacturing facilities are located in areas at extreme to very extreme seismic risk. Given Taiwan's central role in global semiconductor supply chains, a major event could have significant cascading effects on other sectors as well.
Dependence on specialized suppliers adds another level of risk. Critical equipment, such as high-voltage transformers, can have delivery times of several years, potentially prolonging both project delays and losses due to business interruption. Shared electrical and digital networks can also propagate interruptions to otherwise unconnected companies.
Understanding risk unlocks insurance capacity
According to the Swiss Re Institute, the main constraint is not the availability of insurance capital, but the ability to use it safely in the face of increasingly complex exposures. The limited operating history of these large infrastructure projects can make it difficult to quantify the frequency and severity of losses, while accumulation and the potential for extreme losses complicate diversification and the use of insurance capacity.
The operational phase represents the next frontier of insurability. Risks related to construction are relatively well understood, while the commissioning of high-value equipment introduces greater exposures related to property damage, business interruption, contingent business interruption, and liability. In some cases, financial losses resulting from an interruption can exceed the physical damage itself.
Insurance markets have repeatedly adapted to emerging risks, from nuclear energy to cyber. For today's larger and interconnected infrastructures, it is essential to understand how risks can accumulate. Engineering-driven underwriting, improved modeling, and accumulation management can increase confidence in the underlying risk. The distribution of such risks among insurers, reinsurers, and capital markets can spread large exposures across multiple balance sheets, helping to keep large infrastructure projects insurable and support the investments at the base of future economic growth.
