London, UK – Swiss Re Corporate Solutions predicts that global data center operators will invest around $750 billion in artificial intelligence (AI) technologies by 2026, up from approximately $500 billion last year. This expansion is expected to drive increased demand for insurance services and contribute to the development of new risk management solutions.
A significant increase in spending
The company explained that the anticipated increase in spending reflects the accelerating investments in artificial intelligence infrastructure, particularly large data centers.
This is expected to boost demand for insurance coverage across various sectors related to this technology.
The company’s CEO, Ivan Gonzalez, emphasized that the complex risks arising from the rapid expansion of data centers necessitate innovative solutions from both the insurance and capital markets sectors.
These solutions are designed to manage the accumulated risks.
New challenges and risks
A Swiss Re report indicated that the risks associated with artificial intelligence (AI) are now extending beyond the scope of traditional insurance.
This necessitates a combination of risk engineering, alternative risk transfer mechanisms, and financing to support companies in continuing to invest.
For his part, the group’s chief economist, Jérôme Higeli, warned that the rapid growth of AI, despite its positive effects on the economy,
could also contribute to increased inflationary pressures. Furthermore, it could lead to higher insurance claims costs.
Spending could reach $1.6 trillion
Swiss Re predicted that global spending on artificial intelligence infrastructure would nearly double over the next five years, reaching approximately $1.6 trillion.
The company described this as one of the largest waves of infrastructure investment since the post-war period.
The company believes this growth will provide a significant boost to the global economy and both physical and digital assets.
Furthermore, it will create substantial opportunities for the insurance sector to develop new products that cover the increased risks associated with the rapid shift towards AI technologies.
