AI for infrastructure resilience
This report explores how artificial intelligence (AI) can help avoid approximately US$70 billion in direct natural disaster costs to infrastructure by 2050.
Safer, smarter and more resilient infrastructure
As populations and economies grow, infrastructure systems should evolve to meet rising demands. At the same time, natural disasters are becoming more frequent and intense.
By 2050, it’s projected that natural disasters could cause approximately US$460 billion in average annual losses to infrastructure globally. These losses are more than double the annual average over the last 15 years.
Enhancing infrastructure resilience with AI could help prevent 15% of these losses. That translates to approximately US$70 billion in annual savings.
Approximate annual losses to infrastructure caused by natural disasters by 2050.
Approximate annual savings in direct natural disaster costs to infrastructure by 2050 with AI.
Approximate annual savings by 2050 by applying AI to plan and respond phases for storms (US$30B) and floods (US$20B).
The three phases where AI can help deliver impact
Cross-sector collaboration is important in effectively integrating AI
If deployed strategically, AI can help leaders identify risks sooner, optimize resources, prevent costly failures and disruption, and accelerate response and recovery times during natural disasters. Investing in both preventative and reactive AI-powered infrastructure solutions can help safeguard economic value and increase business resilience.
Jennifer Steinmann, Deloitte Global Sustainability Business leader
Jennifer Steinmann
Will Symons
Prof. Dr. Bernhard Lorentz
