Inspect structures using engineering skills to determine structural soundness and compliance with specifications, building codes, and other regulations. Inspections may be general in nature or may be limited to a specific area, such as electrical systems or plumbing.
U.S. Workers
137,210
Median Salary
$72,120
10-Year Growth
-0.8%
Annual Openings
14,800
Typical entry: High school diploma or equivalent
19 of 19 tasks have some AI capability
Exposure Trend
This score reflects estimated AI technical capability for tasks in this occupation. It does not predict employment changes, and it does not account for company-specific constraints, regulation, or adoption barriers.
Measure dimensions and verify level, alignment, or elevation of structures or fixtures to ensure compliance to building plans and codes.
AI: Fully automatable - Measuring dimensions and verifying level/alignment can be largely automated using laser scanning, LiDAR/photogrammetry and AI comparison to plans, enabling end-to-end measurement and conformity checks in many cases by 2025.
Maintain daily logs and supplement inspection records with photographs.
AI: Fully automatable - AI can automatically generate, organize, annotate, and format daily logs and associated photographs (given input from mobile devices/drones) with minimal human effort.
Estimate cost of completed work or of needed renovations or upgrades.
AI: Fully automatable - AI can fully generate cost estimates by analyzing plans, material/labor databases, and historical project data to produce comprehensive estimates for most standard renovation and completion assessments.
Inspect bridges, dams, highways, buildings, wiring, plumbing, electrical circuits, sewers, heating systems, or foundations during and after construction for structural quality, general safety, or conformance to specifications and codes.
AI: Partial - AI with drones, sensors, and computer vision can detect many defects and flag nonconformities, but comprehensive structural inspections and formal certification still require human expert judgement and on-site verification in 2025.
Inspect facilities or installations to determine their environmental impact.
AI: Partial - AI can analyze environmental data, remote sensing, and models to assess impacts, but field sampling, contextual interpretation and regulatory judgment mean full automation is not yet achievable in 2025.
Issue permits for construction, relocation, demolition, or occupancy.
AI: Partial - AI can automate application review, validate documents, and recommend permit decisions, but final issuance usually requires human officials' legal authority and sign-off.
Monitor installation of plumbing, wiring, equipment, or appliances to ensure that installation is performed properly and is in compliance with applicable regulations.
AI: Partial - Monitoring installations can be aided substantially by computer vision and IoT to detect improper work, yet nuanced compliance decisions and responsibility for sign-off still rely on human inspectors in 2025.
Approve building plans that meet required specifications.
AI: Partial - AI can verify building plans against specifications and flag compliance issues, but final approval typically requires licensed human sign-off due to liability and discretionary judgment.
Review and interpret plans, blueprints, site layouts, specifications, or construction methods to ensure compliance to legal requirements and safety regulations.
AI: Partial - AI can parse and flag issues in plans and blueprints and cross-check them against codes but cannot fully replace human judgment for complex, ambiguous, or legally consequential interpretations.
Evaluate project details to ensure adherence to environmental regulations.
AI: Partial - AI can analyze project data and regulatory texts to identify potential environmental compliance issues but typically requires human-led field verification and contextual judgment.
Conduct inspections, using survey instruments, metering devices, tape measures, or test equipment.
AI: Partial - AI can process and interpret measurements from survey and test equipment and guide instrument use, but it cannot perform the manual, on-site act of taking measurements without robotic hardware.
Conduct environmental hazard inspections to identify or quantify problems such as asbestos, poor air quality, water contamination, or other environmental hazards.
AI: Partial - AI can analyze sensor data, photos, and lab results to identify hazards but cannot reliably perform on-site sampling and legally required laboratory analyses.
Inspect and monitor construction sites to ensure adherence to safety standards, building codes, or specifications.
AI: Partial - AI can analyze camera/drone feeds and sensor data to detect many safety/code violations in real time, but nuanced assessments and official determinations still require human inspectors.
Monitor construction activities to ensure that environmental regulations are not violated.
AI: Partial - AI can monitor sensors and imagery to flag potential environmental violations (e.g., runoff, dust), but comprehensive enforcement and contextual evaluation need human oversight and field checks.
Confer with owners, violators, or authorities to explain regulations or recommend remedial actions.
AI: Partial - AI can draft explanations of regulations and recommend remedial actions and can support two‑way communication, but negotiation, enforcement, and legal responsibility typically remain with humans.
Examine lifting or conveying devices, such as elevators, escalators, moving sidewalks, hoists, inclined railways, ski lifts, or amusement rides to ensure safety and proper functioning.
AI: Partial - AI can assist with image/sensor-based diagnostics and pattern recognition for lift systems but cannot execute hands-on mechanical checks, adjustments, or certify complex safety conditions.
Train, direct, or supervise other construction inspectors.
AI: Partial - AI can create training materials, simulate inspection scenarios, and provide analytic support for supervision, but cannot fully replace human leadership, mentorship, and personnel decisions.
Sample and test air to identify gasses, such as bromine, ozone, or sulfur dioxide, or particulates, such as mold, dust, or allergens.
AI: Partial - AI can interpret outputs from air sensors and laboratory results to identify contaminants, but cannot fully perform standardized on-site sampling and chain-of-custody lab testing autonomously.
Evaluate premises for cleanliness, such as proper garbage disposal or lack of vermin infestation.
AI: Partial - AI can detect visible cleanliness issues and signs of infestation from images and sensor data but cannot reliably assess hidden problems or perform physical verification and remediation.