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10/16/25, 1:05 PM Infrastructure AI takes off - Utilities Middle East

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NEWS INSIGHTS UTILITIES
AI innovation takes center stage at Bentley Systems’ Year
in Infrastructure 2025

Industry leaders at Bentley Systems’ Year in Infrastructure 2025 reveal how AI is moving from pilot projects to transforming
engineering, project delivery, and business models.
By Simone LiedtkeOctober 15, 2025

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Artificial intelligence (AI) is beginning to redefine how projects are planned, delivered and managed,
especially as global infrastructure demand continues to grow and engineering capacity remains
limited. In this instance, AI promises to improve efficiency, reduce risk and create measurable value,
a panel discussion at Bentley Systems’ Year in Infrastructure 2025 conference found.
At the conference, the infrastructure engineering software company unveiled new AI capabilities and
announced an Infrastructure AI co-innovation initiative, inviting engineering firms and asset owners
to collaborate on the next generation of AI workflows.
Bentley CEO Nicholas Cumins emphasised the company’s vision: “AI is poised to transform
infrastructure. At Bentley, our vision is for AI to empower infrastructure engineers; not replace them.
Trustworthy AI, built on infrastructure context, can improve engineering productivity and transform
workflows across project and asset lifecycles.”
The role of AI in infrastructure is expanding rapidly, and a global survey of infrastructure
professionals, released at the conference and conducted by Bentley in collaboration with Pinsent
Masons, Mott MacDonald, and Turner & Townsend, found that about half of respondents are either
piloting AI or have already implemented it, with plans to scale its use across their organisations.
Key focus areas include boosting design and engineering productivity and automating
documentation processes. Cumins underscored the urgency: “The greatest challenge to delivering
better and more resilient infrastructure is engineering capacity. The reality is, there simply aren’t
enough engineers in the world to do all the work that needs to be done. AI promises a step change
in productivity that can help close this capacity gap.”
These insights were further explored during a panel discussion at the conference, where YJ Kim, AI
Technical Lead at Mott MacDonald, highlighted where AI is already delivering tangible results.
“If we define AI broadly, including statistical learning and analytics, its use has extended beyond
predictive modelling to document automation, natural language processing, and large language
models,” she explained.
She noted that these technologies are relatively mature, tested across many use cases, and provide
practical value that integrates easily into existing workflows. However, Kim emphasised the
importance of traceability in AI outputs.
“By understanding the semantic and grammatical layers, AI outputs become readable and actionable
for humans, broadening the perspective for decision-making.”
Guy Beaumont, Digital Lead for Infrastructure at Turner & Townsend, reinforced the challenge of
scaling AI from pilot projects to production. “Many organisations are stuck in the piloting cycle. To
scale effectively, companies need to invest in data readiness, strengthen data architecture, and
ensure infrastructure can support production-grade AI solutions. It’s about building the foundations
so AI can deliver reliable value,” he said.

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