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AI Use in Infrastructure Set to Soar, As Firms Weigh Risks and Returns

A survey by Bentley Systems and partners finds increasing use of AI in infrastructure, as firms look to boost efficiency and manage risks ahead of a $10 trillion building boom. But challenges tied to adoption remain.

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Kathleen Moore

Left: A crane lifts materials at a building construction site, highlighting the role of AI in infrastructure. Right: An aerial view of a multi-level highway interchange with cars passing through.

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Engineers are paid to design roads and bridges. To help them expedite other tasks, Kyle Rosenmeyer, a superuser of Bentley Systems engineering software at VHB, built a custom artificial intelligence (AI) agent using Microsoft’s Copilot Studio. The agent helps engineers answer questions and quickly tap into Bentley software by drawing on Bentley information sources.

“These AI agents are only as good as the information they can access,” Rosenmeyer told Bentley Insights this summer. “What I’ve found is that Bentley’s documentation works really well because it’s deep and accessible.ā€

Rosenmeyer is not alone in seeing the benefits of an AI co-worker.

Nearly all respondents in a recent survey of the infrastructure sector said they were either trying out or had adopted AI applications for some of their operations – including to improve design and engineering productivity. AI use in the sector is expected to increase, with around a third of the surveyed organizations predicting it would be used in more than half of their design, engineering, and construction projects in three years.

Those are among the main findings of a survey by Bentley Systems, law firm Pinsent Masons, and engineering consultancies Mott MacDonald and Turner & Townsend. The survey was published ahead of Bentley’s Year in Infrastructure event, set for October 15-16 in Amsterdam. (Bentley has announced that several AI-powered solutions will be featured at the event.)

The survey, titled The Impact of Artificial Intelligence on the Built Environment, polled 130 leading infrastructure and building professionals across the globe on their firms’ readiness for AI, as well as the potential risks and returns they see from its use.Ā 

Mind the Gap

The study was conducted to help further discussion on how the infrastructure industry can best leverage AI. Combined with robust construction spending and lagging productivity, AI presents a ā€œpivotal opportunity for innovation,ā€ the report suggests.

Construction spending is projected to hit $10 trillion worldwide in 2025, while industry productivity has remained stagnant for decades, according to Mark Coates, vice president of infrastructure policy advancement at Bentley, and Ian Laing, Pinsent Masons’ global sector head of infrastructure.

ā€œAI provides robust tools to close this gap by automating intricate tasks, improving decision-making, and facilitating data-driven workflows throughout asset lifecycles,ā€ Coates and Laing write in the report.Ā ā€œIt is incumbent upon all of us participating in the sector to determine how best to effectively leverage AI’s potential while addressing its associated risks.ā€

AI Use Is Under Way—And Set to Grow

Firms are now mainly using or experimenting with AI to automate document-related processes and to improve the productivity of design and engineering processes. About 35% said they expected more than half of their projects would leverage AI in design and engineering in three years’ time. That percentage dips slightly, to just under 30%, for using AI in construction works.

One challenge hindering AI adoption is data sharing, the survey found. About one fifth of firms cited risks related to data, such as intellectual property, privacy, cybersecurity, and commercial information. Another 15% noted a lack of AI skills at their organization.

On the risk side, a wide majority of respondents said they expected AI to affect their current , with nearly a quarter taking active steps to adapt. But the survey also found that more than one third of firms have limited or no project controls to manage risk where AI is used for design and construction.

Still, the report found that many firms anticipated major benefits from adopting AI, citing expected significant improvements in such areas as productivity of design and engineering processes; cost estimation and forecasting; scheduling; and construction process productivity.

Firms said that over the next three years, they plan investments to boost the use of AI, ploughing money primarily into technical capabilities, standardized data and processes, and AI leadership and management.

Read the full report.

Kathleen Moore is a journalist, editor, and educator. Most recently, she led a 50-person-strong team covering Central and Eastern Europe and Eurasia.

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