Most construction leaders I speak with are not sceptical about AI. They know it is real, they know it can help, and most are already using the likes of ChatGPT or Claude to draft correspondence and reports in a fraction of the time it used to take. But currently, for the vast majority, that is where it stops, leaving the bigger opportunity untouched. 

This is not through lack of interest. The barriers are practical - uncertainty about where AI can genuinely move the needle, limited internal skills, and the simple reality that running a busy construction related business leaves precious little time for strategic thinking.  You can understand why AI often lands in the ‘non urgent’ pile and quietly stays there. 

The problem is that ‘non urgent’ is becoming harder to justify. Whilst most firms are standing still, others are moving, and the gap is beginning to open up. 

The firms pulling ahead are already visible 

I talk regularly with contractors and consultants across the UK about their tech strategy and the conversation has shifted noticeably in the last twelve months. The firms moving fastest are pulling ahead in ways that are now starting to positively impact their margins, their work winning rates and their ability to get more done for less. The firms on the sidelines are not necessarily failing yet, but they are definitely in danger of falling behind. 

This matters more in construction than almost any other sector, because of who makes up the industry. Government data confirms that SMEs account for 99% of all construction businesses and those firms face a particular set of pressures - tight margins, stretched teams, owner-managers already running at capacity. Research from CECA's 2026 follow-up report on AI in UK construction found that while many larger contractors are advancing rapidly, most SMEs face structural barriers that limit adoption, and warned that unless addressed, the divide will widen. 

The barriers are real, but not insurmountable 

Issues commonly raised include, not knowing where to start, cost concerns, uncertainty about ROI, integration with existing systems and lack of skills / time to lead proper AI transformation. These are real, but also solvable, and the technology is far more accessible than many assume. 

The starting point for most firms is using AI for the obvious tasks - drafting documents, summarising meetings, generating risk assessments in minutes rather than hours. Useful, certainly, but the technology can do much more. 

To understand where AI becomes genuinely transformational, it helps to be clear about what makes it different from the software we already use. Conventional project management, estimating and finance tools have served us well - they do what you configure them to do, with structured data you have already input.  AI is different because it can read, interpret and reason across scattered unstructured information such as drawings, reports, emails, contracts and photos, where it can find patterns, highlight risks and generate useful outputs. 

Complex manual tasks that previously took many hours now take minutes. AI can interrogate specifications, read drawings, identify scope, cross-reference against historical cost data and flag anything unusual, all before a QS or estimator makes a single judgement call.  AI can monitor progress data continuously and flag an emerging risk to a project manager before it becomes a delay. A commercial manager no longer needs to spend days searching through hundreds of documents to build a claim - AI can do that and present a structured, evidenced narrative in seconds. 

And the technology is only getting more capable. 

AI strategy belongs in the boardroom 

The firms getting this right appear to have one thing in common - the drive comes from the top.  IT absolutely has a role, data integrity and cybersecurity clearly matter, but the agenda should not be set by tech teams alone. The businesses pulling ahead are those where senior leadership own the AI conversation, define the problems worth solving, and take accountability for outcomes. Everything else follows from that. 

So where to start? 

Do something, but don't attempt everything at once. Identify where AI can make the greatest difference to your business, focus on the tasks that consistently erode your time and money, and pick one. Bid documents, H&S compliance, resource management, for example, are all good starting points. Start small, measure what changes, and let the results drive what comes next. 

The firms that act now will not just be more efficient. They will be harder to compete with. 

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Phil Gold is the co-founder of ZAPT.ai, a software platform that creates affordable custom software designed to help businesses streamline processes and improve efficiency. The Zapt platform comprises a growing library of interconnected apps and modules such as CRM, PM, Job Management, Quality, HR and Health & Safety, that can be selected to create a personalised software suite tailored exactly to how your business works in minutes. Zapt is one of CIOB’s Expert Partners - a programme that gives Chartered Companies access to a range of exclusive cost-saving benefits, including 20% off Zapt.  

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