Summary

The Deloitte study assesses the potential of artificial intelligence (AI) to enhance the resilience of infrastructure against natural disasters and technological risks. According to the firm’s estimates, by 2050 global losses from infrastructure-related disasters and accidents caused by natural and man-made factors could reach up to USD 460 billion. The adoption of AI, in turn, could help prevent up to USD 70 billion in direct annual losses from emergencies. AI strengthens resilience at all stages—before, during, and after disasters—through technologies such as digital twins, predictive maintenance systems for infrastructure assets, early detection and analysis of threats (e.g., wildfires or floods), and accelerated post-incident recovery. The study identifies several key enablers for successful integration of AI into infrastructure safety systems: systemic incorporation of AI solutions throughout the entire infrastructure lifecycle—from design to operation—access to high-quality data, modernization of outdated IT systems, development of qualified human resources, standardization of regulatory frameworks, and financial support through mechanisms such as green bonds, sustainable development financing instruments, and R&D tax incentives.