• Despite strong investment, global infrastructure faces a US$64t funding gap globally; close to US$140t investment required between now and 2050 to address this shortfall
• Project rework and abortive work can add as much as 15% to overall costs, contributing to hundreds of billions in lost value
• Agentic AI creates an intelligence layer, integrating data from siloed systems reducing the need for holistic reconfiguration of the construction value chain and enabling faster, more informed decisions
Despite investment in in recent years, the global infrastructure sector faces a significant funding gap of US$64t globally.1 World governments and the private sector will need to invest close to US$140t between now and 2050 to address this shortfall, keep up with ever-shifting global conditions and provide for the needs of the world’s population. A considerable uplift in productivity is required.
Infrastructure productivity is constrained not by a lack of technology, but by fragmented systems, data and stakeholders that limit effective coordination.
The report, The intelligence layer: how agentic AI can connect the infrastructure industry, explores how governments and organizations can embed agentic AI project, program and portfolio structures to improve coordination between segmented, yet highly interdependent, data sources. While current delivery models require manual coordination and periodic reporting, agentic AI introduces a continuous model that examines data in real time, seamlessly routing it across systems. While agents surface and connect insights at scale, humans apply domain expertise, exercise judgement and remain accountable. (....)