At WSP, we've applied machine learning, digital twins, computer vision and other advanced digital technologies for years. From asset condition assessments and transport network modelling to digital twins and real-time infrastructure monitoring, we've seen first-hand that significant value can come from combining technology with high-quality data and human expertise.

These initiatives have something important in common. None of them start with a question about AI. They start with a question about how to make better decisions. And that's where I think much of the current conversation about AI misses the mark.

Discussion around AI often swings between extremes. Predictions of rapid technological change can overshadow a more practical question - how organisations can use AI responsibly to improve decisions, accelerate delivery and achieve better infrastructure outcomes.

The reality is more practical. AI is a tool that can help deliver better outcomes, but like any tool, its effectiveness depends on the quality of what sits behind it. We’ve all heard the phrase 'rubbish in, rubbish out' - or, worse, 'garbage in, gospel out'. That’s why the focus needs to be on building reliable data foundations: trusted information, strong governance, and the human expertise required to use AI responsibly. 

No matter how sophisticated an algorithm is, it can't compensate for fragmented data, inconsistent information or weak governance. 'Dirty data’ won’t drive the right outcomes. 

In WSP's experience, organisations can be better positioned to realise value from AI when they have already invested in trusted data and strong digital foundations.

Think about constructing a bridge. The most visible elements sit above the waterline, but the strength of the structure depends on foundations that most people never see. Digital infrastructure is no different.

Trusted data is the foundation that supports everything else. It enables digital twins. It powers advanced analytics. It supports machine learning applications. And increasingly, it underpins the AI tools beginning to emerge across the infrastructure sector.

Without that foundation, results can become unreliable very quickly. That's why WSP’s focus goes beyond adopting new technologies.

We help clients build the engineering-led digital capability needed to apply data, digital tools and AI effectively across the asset lifecycle.

As AI capabilities continue to evolve, the value of human expertise becomes even more important in interpreting information, applying judgement and maintaining accountability.

Infrastructure operates in the physical world. Communities rely on the assets we design, manage and maintain every day. Decisions carry consequences. Safety, resilience and public trust are always on the line.

AI-enabled tools can help analyse large datasets, identify patterns and assess options, when supported by trusted data, professional judgement and appropriate guidance. What it can't provide is the professional judgement, accountability, and contextual understanding required to make infrastructure decisions.

A machine-learning model might identify movement on a slope, but a geotechnical specialist still determines whether a road should close. A transport model may generate hundreds of potential interventions, but experienced professionals still decide which option best serves communities.

That's why I see AI as a way to enhance human expertise, helping professionals focus their time on higher-value analysis, decision-making and problem solving.

The most successful organisations will be those that use technology to augment human expertise, helping their people focus on the judgement, creativity and relationships that create the greatest value.

Done well, AI can enable smarter, better ways of working, but only when it's grounded in trusted data, strong governance, human expertise and appropriate oversight and accountability.

That's where the Building Nations theme of Smarter, Faster, Better resonates most strongly.

Too often, discussions about AI focus on the 'faster'. The greater opportunity lies in being smarter and ultimately delivering better outcomes.

When digital tools help organisations test more options, better understand infrastructure networks and respond to emerging risks, they can support more informed investment decisions, resilience planning and adaptive responses. We make better investment decisions. We build more resilient infrastructure. We can adapt more quickly when conditions change.

As the sector gathers at Building Nations 2026, the most important questions will not be about AI alone, but about how organisations build the trusted data, governance and expertise required to realise its potential responsibly.

The future of infrastructure won't be defined by AI alone. It will be defined by what happens when trusted data, digital innovation and human expertise come together to solve real-world challenges.

That's how we help clients plan and deliver infrastructure in smarter, faster and better ways for the communities they serve.