AI adoption in construction: Rics privacy and security findings for project teams
Reviewed by Joe Ashwell

First reported on New Civil Engineer
30 Second Briefing
Rising concern among construction professionals over data privacy and cyber security is slowing adoption of artificial intelligence tools, according to a new Royal Institution of Chartered Surveyors (Rics) report. Respondents cited risks around sharing commercially sensitive project data from BIM models and cost plans with cloud-based AI platforms, and uncertainty over where training data is stored and processed. The findings signal that AI deployment on live projects, including for quantity take-off automation and programme optimisation, may stall without clearer contractual, regulatory and data-governance frameworks.
Technical Brief
- Increasing concern among construction professionals about the privacy and security aspects of using artificial intelligence (AI) is hindering its adoption in the sector.
Our Take
RICS already underpins digital standards in areas like whole-life carbon tools (as in the Future Homes Hub v3 alignment), so its involvement in AI and data privacy is likely to steer how UK construction codifies acceptable use of project and survey data.
Software is one of the more densely covered categories in our database, and AI-tagged safety and project pieces increasingly link to professional standards bodies like RICS, signalling that institutional guidance is becoming as important as the underlying technology for adoption decisions.
Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.
Related Articles
Related Industries & Products
Construction
Quality control software for construction companies with material testing, batch tracking, and compliance management.
Mining
Geotechnical software solutions for mining operations including CMRR analysis, hydrogeological testing, and data management.
QCDB-io
Comprehensive quality control database for manufacturing, tunnelling, and civil construction with UCS testing, PSD analysis, and grout mix design management.

