AI adoption could reduce 20% construction waste, PlanRadar panel says
Industry experts meet at PlanRadar UK headquarters
PlanRadar has hosted a panel discussion on the use of artificial intelligence (AI) in the construction industry.
The event, held at the company’s UK headquarters, brought together industry leaders to explore how AI could address ongoing inefficiencies and waste across the sector.
The panel featured John Priestland, Founder of Priestland Consulting and Chair of the Get It Right Initiative (GIRI), Iain McIlwee, Chief Executive of the Finishes and Interiors Sector (FIS), and Rob Norton, UK Director at PlanRadar.
Speakers discussed the growing evidence that AI technology could dramatically reduce the estimated 20% waste currently affecting the construction industry.
According to PlanRadar, this potential marks one of the most transformative developments since the introduction of computer-aided design.
The discussion called on UK firms to recognise the scale of opportunity and begin preparing for an AI-enabled future.
Reducing costly rework through data-driven insight
The panel emphasised that waste reduction remains one of the most immediate and measurable benefits of AI adoption.
It was noted that up to 70% of dry lining work requires rework due to preventable errors.
AI systems, the experts explained, can detect these issues earlier and systematically address them across the entire construction cycle.
The discussion also highlighted the crucial role of data in enabling this change.
Participants warned that without standardised data formats, AI systems cannot deliver accurate insights.
The panel reinforced the idea that “bad data in, bad data out” remains a major barrier to success.
Speakers urged companies to prioritise improving data quality and standardising processes before large-scale AI deployment.
New skills and strategic planning essential for AI success
Beyond automation, the panel agreed that AI will reshape construction roles and create new types of work.
Repetitive or administrative tasks are likely to be automated, freeing up professionals to focus on complex decision-making and design.
The experts described this shift as an opportunity to enhance human capability rather than replace it.
John Priestland, Founder of Priestland Consulting and Chair of GIRI, said: “This isn’t about replacing human expertise, it’s about augmenting it.
“The firms that understand this distinction will thrive in the AI-enabled construction landscape.”
The panel also stressed that companies taking early, strategic action will gain the greatest long-term benefit.
Immediate steps recommended include investment in data infrastructure, the development of human verification systems and collaboration with technology providers.
Rob Norton, UK Director at PlanRadar, said: “As the industry grapples with housing targets, infrastructure investment and sustainability requirements, AI emerges not as a luxury enhancement but as an essential tool for meeting 21st century construction demands.”
Relevance for fire and safety professionals
The discussion has direct relevance for architects, fire engineers and building services professionals responsible for compliance and design efficiency.
AI systems that improve data quality and reduce rework can help limit material waste and project delays, both of which affect fire-safety installation timelines.
Better standardisation of construction data can also support clearer documentation of fire protection systems, improving audit trails and post-installation verification.
For facility managers and construction contractors, integrating AI into workflow management may lead to more accurate project records, which are vital for ensuring safety-critical components meet regulatory standards.
As AI-driven tools become more widely adopted, their role in reducing rework and strengthening data consistency could improve accountability across complex building projects.