UK's Top Built-Environment Consultants Raise AI Budgets for Third Year Running

Budgets Up, Patience Running Thin

The UK's largest built-environment consultancies have increased their AI budgets for the third year in a row, according to Building magazine's annual Top 150 Consultants survey, published this week. Some 87% of firms put more money into the technology than last year. A third (36%) described the increase as significant. These are not pilot numbers any more.

The share of firms calling AI "extremely or very important" to their business now stands at 91%, up from 75% three years ago. The headline sub-measure, firms rating AI and machine learning "extremely important" to how they operate, reached 54% this year, a four-point rise on 2025. A sixteen-point swing across three years signals a technology crossing from discretionary to assumed cost of doing business.

Cybersecurity budgets moved in the same direction: 66% of respondents reported spending more on that than the year before. The two budget lines tend to travel together once firms start putting sensitive project data through cloud-hosted AI tools.

What the Money Is Actually Buying

The survey pushed firms to give concrete examples, not just sentiment scores. Hilson Moran pointed to Attain, its AI-driven building management software that sits over existing BMS infrastructure and has delivered annual savings of up to 30% on building energy running costs for clients. Anderton Gables cited a 30% reduction in programme overruns through AI-assisted project management, plus a 17% uplift in client conversion rates after implementing AI-powered CRM lead scoring.

The money is reaching real workflows. The honest read, though, is that the spread of outcomes is wide. A handful of firms are posting measurable results. A larger group is still in the cost-of-entry phase, buying tools and training without a clear return booked yet.

The Shadow Market: Staff Buying It Themselves

There is a wrinkle the aggregate numbers obscure. Where the Top 150 are funding AI adoption centrally, employees elsewhere in the sector are buying subscriptions out of their own pockets. That split matters commercially and from a governance standpoint: centralised purchasing means firms can audit which tools are touching project data, set data-handling terms, and train consistently. Shadow AI spend means none of that.

The Chartered Institute of Building's AI Playbook has consistently framed the technology as a new colleague rather than a replacement: a digital assistant capable of handling repetitive tasks, analysing datasets and supporting decision-making. The gap between firms that have institutionalised that framing and those still treating AI as a personal productivity hack is, in practice, a competitive gap.

Adoption Uneven Across the Wider Industry

Step off the Top 150 and the picture changes fast. The UKCW Birmingham Digitalisation & AI Stage, running 29 September to 1 October at the NEC, was curated precisely because adoption remains uneven across the broader industry. Construction businesses face intensifying pressure to improve productivity and manage risk, but the programme's organisers were explicit: the agenda is designed to move conversation beyond technology for technology's sake.

Revizto's 2026 Digital Design & Construction Report, drawn from more than 2,000 AECO professionals across eight markets, found 44% of firms are upskilling existing teams and 40% are using automation to reduce manual work. Respectable numbers, though they also mean a majority in each category has not yet moved.

The Houzz UK State of AI in Construction and Design Report put adoption among UK construction and design professionals at 46%, with early adopters reporting savings of over three hours a week per person, translating to more than £23,000 in annual productivity gains per business. Three in five respondents expect AI to transform the industry within five years.

The Brand Signal

One data point worth watching: UK trademark filings in Nice Class 11, which covers lighting, heating, cooling and related building systems (a key interface point for AI-driven building management products), dropped to 1,179 in Q3 2026, down 20.3% on the prior period, according to AIBD analysis of IPO (TMD) data as of September 2026. That is a meaningful contraction. It could reflect a broader cool-off in PropTech brand launches after the venture surge of 2024-25, or it could indicate that firms are embedding AI into existing product lines rather than creating new branded offerings. Either way, the pipeline of new entrants is thinner than it was.

What It Means on Site

None of this filters quickly to the trades. BIM Level 2 has been mandatory on government-funded UK projects since 2016, yet adoption among private-sector SME contractors remains below 40%. AI adoption in construction remains at an early stage, with the most common applications being document search, photo categorisation and scheduling optimisation rather than anything touching design or structural decisions.

The Top 150 data tells you where the money and the intentions are. The site data tells you where the gap is. That gap is where the next three years get interesting, and where the firms spending significantly more than their peers right now are betting they can widen a competitive lead before the rest of the sector catches up.