Building and civil engineering technicians

creates and designs plans (using computer aided software)

AI-enhanced CAD tools like Autodesk AutoCAD with AI features or Revit with generative design can automate drafting, suggest design optimisations, and reduce manual drawing time significantly.

performs calculations and collects, records and interprets data

AI tools like Microsoft Copilot in Excel or Python-based ML models can automate calculations, flag anomalies in datasets, and assist with data interpretation, but human judgment is needed to validate results in context.

estimates project costs

AI tools integrated into platforms like CostX or even ChatGPT with project data can rapidly generate cost estimates, compare historical benchmarks, and flag budget risks, though human review remains essential.

estimates timescales for project delivery

AI-powered project management tools like Microsoft Project Copilot or Primavera with AI features can model timescales, simulate delays, and optimise schedules, but local knowledge and stakeholder context still require human input.

inspects construction materials and supervises work of contractors to ensure compliance with specifications and arranges remedial work as necessary

Physical inspection of materials and on-site supervision requires human presence and professional judgment, though AI-powered image recognition tools can assist with defect detection from photos.

sets up apparatus and equipment and undertakes field and laboratory tests of soil and work materials

AI cannot physically set up equipment or conduct field/lab tests, though sensors and IoT devices can assist with data capture during testing.

sets out construction site, supervises excavations and marks out position of building work to be undertaken

Setting out a construction site requires physical presence, precision equipment, and real-time spatial judgment that AI cannot replicate, though GPS and drone survey tools can assist.