09/16/2025 | Press release | Distributed by Public on 09/15/2025 18:18
The construction industry stands on the brink of a digital transformation driven by artificial intelligence (AI), according to a new global report from the Royal Institution of Chartered Surveyors (RICS). The AI in Construction 2025 report, based on responses from more than 2,200 professionals worldwide, reveals both the enormous potential and pressing challenges facing the sector as it embraces AI.
Some of the key findings of the report include:
The report warns of a widening gap between investment ambition and organisational readiness. Many firms are preparing to spend on AI despite widespread skills shortages, raising concerns about whether investments will deliver real value.
The report also highlights strong optimism around AI's role in scheduling, risk management, and cost control. RICS warns that overlooking these critical areas could be a missed opportunity, and calls for industry, government and professional bodies to collaborate on clear roadmaps, ethical guardrails and upskilling initiatives. This month, RICS released its first global standard on the ethical use of AI called Responsible Use of Artificial Intelligence in Surveying Practice*, which sets a clear framework for professionals.
Maureen Ehrenberg FRICS CRE, Acting President-Elect at RICS, said: "This timely report provides a valuable global snapshot of how professionals across the built environment are thinking about AI - where they see potential, what's holding them back, and how prepared they feel. The challenge now is to ensure AI is adopted responsibly, ethically and in ways that deliver real public good."
Anil Sawhney, Head of Sustainability at RICS, said: "RICS' AI in construction 2025 report reveals that the construction sector is at a tipping point. Despite the hype in the media, over 2,200 global responses to our Global Construction Monitor survey reveal low adoption with a growing confidence in AI's potential. To achieve tangible progress, our sector must focus on high-quality data, compelling value propositions, organisational readiness and strong leadership to champion the responsible use of AI."
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