Most US Construction Firms Still Pilot AI
A Bluebeam survey finds only 28% have AI in operational use, with cost the leading barrier to scaling.
Updated on Nov. 2, 2026 in Artificial Intelligence
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Only 28% of US architecture, engineering and construction (AEC) firms have moved AI into operational use, according to a Bluebeam survey of 750 US industry decision makers published in its AEC Technology Outlook Report 2027. AI is therefore still largely at the pilot stage in the sector, with 32% of companies piloting it in limited or experimental applications.
Why it matters
The survey suggests that the gap between AI experimentation and production use in construction is wide, and that cost and skills are the main barriers rather than trust in outputs. Among firms already running AI, the reported benefits centre on cost predictability and earlier risk detection rather than reduced rework.
Bluebeam's survey of 750 US decision makers is a self-reported industry survey, not a controlled measurement. The headline shares (28% operational, 7% embedded, 32% piloting) are drawn from that sample, and the cost-savings and predictability figures reflect respondents' own reporting of outcomes.
The players
Bluebeam
A construction-software company whose PDF-based project markup and collaboration tools are widely used in the architecture, engineering and construction sector.
The details
AI in construction here refers to software that analyses project data to support planning, cost estimation and risk identification. Bluebeam's survey distinguishes between firms that have AI in operational use, those piloting it in limited applications, and those that have embedded it across core workflows such as project management. Respondents in production reported the strongest benefits as cost predictability and earlier identification of project risks, while reduced rework ranked lowest at 17%.
Timeline
Bluebeam's AEC Technology Outlook Report 2027 was published on 2 November 2026.
The Tech Race
Within the construction-software market, Bluebeam's report offers one of the few published adoption-stage breakdowns for US AEC firms. It positions AI in the sector as largely experimental, with production deployment concentrated in a minority of firms.
For construction firms, the survey points to cost estimation and risk identification as the areas where AI is most often in use, although availability and pricing of specific products were not addressed. Firms still piloting AI report implementation cost as the main obstacle, so smaller firms may face a longer path to production use.
The takeaway
The trajectory is that AI in construction is moving from pilots toward production use, but cost and internal skills remain the gating factors. Watch the next edition of Bluebeam's AEC Technology Outlook Report for whether the 28% operational share rises.
Further reading
For broader context on how these tools are being deployed, see Artificial Intelligence coverage on We are the Frontier.
Source note: This article includes information reported by Construction Briefing.
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