Juin 2025
Deloitte (42 pages).
Around the globe, infrastructure systems are under growing pressure – from extreme weather events and aging assets to the demands of the energy transition, urbanization, and accelerating technological change. Yet amidst these challenges lies a significant opportunity: to envision and create infrastructure that is more resilient, intelligent, and adaptable.
Artificial intelligence (AI) is rapidly transitioning from being experimental to being an important part of the solution. Leaders are recognizing AI not just as a technical innovation, but one
of the strategic tools that can be used to make infrastructure systems more resilient. Whether through predictive maintenance, digital twins, or AI-enabled early warning systems, AI is helping public and private sector leaders make faster, smarter and more accurate decisions – and in doing so is helping to mitigate risks, reduce costs, lower recovery times, and maintain vital services to support thriving societies and economies.
Examples are already emerging, like the use of digital twins in city planning to simulate flood occurrences in different extreme weather scenarios, demonstrating what’s possiblewhen advanced technology is embedded into infrastructure strategy.
The potential of AI is vast. With the right vision and ecosystem collaboration, it can help leaders build infrastructure that’s stronger, more efficient, more sustainable and futureready. Progress comes when infrastructure stakeholders – including policymakers, planners, operators, investors, technology providers, and insurers – move beyond experimentation and
pilots to help scale AI adoption with confidence.
The timing is right. Ecosystems are evolving. Solutions are maturing. The value proposition is clear. AI can be both a tool for innovation and a strategic enabler of resilience.
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