2025人工智能助力基础设施韧性提升研究报告_42页_3mb

AI for infrastructure resilience

Summary

The document explores the role of artificial intelligence (AI) in enhancing the resilience of infrastructure systems by addressing growing global risks such as natural disasters, aging assets, and cyberattacks. Infrastructure resilience is defined as the ability to withstand, adapt to, and recover from hazardous events through planning prevention, response, and recovery phases.

AI technology offers significant potential to optimize these phases:

• In planning and prevention, AI tools like digital twins enable robust infrastructure design by analyzing vulnerabilities under stress scenarios and optimizing resource allocation.
• During response and mitigation, early warning systems powered by AI (e.g., flood and wildfire detection) facilitate timely reactions, reducing overall damages by up to 39% for floods and storms.
• In recovery, AI-driven damage assessments (e.g., drone-based inspections) accelerate restoration efforts, cutting repair timelines by hours or days and improving resource prioritization.

The economic impact of AI-enabled resilience is substantial—estimated to save $70 billion annually in 2050, equivalent to 15% of projected direct losses. However, implementation faces barriers such as high upfront costs, data scarcity, regulatory uncertainty, and a shortage of skilled personnel.

Key Recommendations:

1. Policy: Governments should establish regulatory frameworks for AI transparency and incentivize research through economic support schemes.
2. Technology: Collaboration between insurers, infrastructure operators, and tech providers is essential for embedding AI into legacy systems and promoting resilient investments.
3. Finance: Financial institutions can support AI projects through tools like resilience bonds, reducing funding gaps for long-term, high-return infrastructure upgrades.
4. Action: Stakeholder coordination is critical for integrating AI into infrastructure systems to minimize exposure to hazards and achieve sustainable growth.

AI can create safer, smarter infrastructure by enabling proactive measures, real-time responses, and efficient recoveries—addressing approximately 20% of potential damage costs.