The UK construction industry has a genuine appetite for artificial intelligence. Drone-assisted surveying, AI-supported project planning, retrofit design, Building Information Modelling — the use cases are real and the interest is growing. The problem is not ambition. It is readiness.
According to the 2024 Lloyds Bank UK Consumer Digital Index, 65% of UK construction workers are unable to complete all 20 essential digital tasks outlined in the government's Essential Digital Skills Framework — the lowest rate of any sector in the country. Skills England's November 2025 sectoral overview cited this figure directly, noting that AI uptake across construction is constrained by workforce digital literacy. For construction SMEs, this is not a peripheral concern. It is the ground condition beneath every conversation about AI adoption.
A Skills Problem Hiding Inside a Technology Problem
It would be tempting to frame this as a technology problem — outdated tools, insufficient investment, slow digitalisation. But the data points to something more fundamental. The issue is not primarily what software is being used. It is whether the workforce has the baseline digital confidence to use any software effectively.
For construction SMEs, this distinction matters. Investing in AI-enabled project management, estimating, or procurement tools will produce limited returns if the people using them cannot complete core digital tasks without support. The technology layer sits on top of a skills layer, and in construction, that skills layer is under-developed compared to every other major sector.
Where AI Fits Into This Picture
Large contractors and developers have the resources, the training infrastructure, and the specialist staff to explore and embed AI tools. Construction SMEs — which make up the overwhelming majority of the industry — typically have none of those things. The Skills England report is direct on this point: AI-enhanced BIM tools are primarily adopted by main contractors on large-scale projects, while SMEs often lack the expertise, training, and resources to embed them into standard site practice.
This is not a matter of ambition. Many smaller construction businesses are aware of what AI could offer them. The barrier is structural: without the foundational digital literacy to support it, AI adoption becomes a risk rather than an opportunity.
The Wider SME Picture
The British Chambers of Commerce's March 2026 report Powering Productivity: AI and the Future of UK Work, based on a survey of 668 UK businesses, found that AI adoption among SMEs has risen from 25% in 2024 to 54% in 2026. That trajectory is significant. But the same report found that 67% of employers are already reporting skills shortages in their market, and only 2% of employers have plans to invest significantly in AI-specific training for their workforces.
The gap between adoption intent and training investment is a systemic problem across UK SMEs. In construction, where the digital skills baseline is the lowest of any sector, that gap is wider still. The BCC report also draws a meaningful distinction between firms using generic AI tools — chatbots, writing assistants, data summarisation — and those with bespoke AI systems integrated into core operations. For most SMEs, including those in construction, current use is largely supporting existing work rather than transforming it. The firms that will move from the former to the latter are those that have invested in the underlying capability first.
What Readiness Looks Like in Practice
Meaningful AI readiness for a construction SME does not begin with identifying which AI tools to purchase. It begins with an honest assessment of where the workforce currently stands, what the genuine use cases are given the nature of the business, and what foundational capability needs to be in place before any AI investment will hold.
For most construction SMEs, that means addressing digital literacy alongside any technology introduction. It means choosing tools that reflect the operational realities of site-based work rather than defaulting to what larger firms are using. And it means understanding the risks — data quality, output verification, supplier dependency — before committing to any system.
The government has signalled clearly through the AI Opportunities Action Plan and the Skills England framework that support for SMEs is a priority. The BCC has recommended dedicated AI Champions for SMEs, an AI Skills Training Fund, and a national AI skills framework to define a baseline literacy standard for all workers. These are welcome proposals. But the firms that will benefit most are those that do not wait for external frameworks to tell them where they stand.
The Sector Cannot Afford to Wait
The 65% figure is not a ceiling. It is a starting point — a measure of where the sector is, not where it needs to be. With SME AI adoption rising rapidly across the broader economy, the distance between construction and other sectors is not static. It grows with every month that foundational digital skills go unaddressed.
The firms that treat this as a call to action, rather than a statistic about other people's businesses, are the ones that will be best positioned as AI moves from early adoption into standard practice across the industry.
Digital skills and AI readiness are not separate conversations for construction SMEs. They are the same conversation, and it needs to start now.
Data drawn from Skills England, Lloyds Bank UK Consumer Digital Index, and British Chambers of Commerce research.
Related reading: Explore AI Readiness Services for UK SMEs, or see how AI helps small businesses compete.