Steel erectors
Steel erectors fit and erect structural metal framework for buildings and other structures such as metal chimneys.
Task Bundle Breakdown
How AI interacts with this occupation's task bundle
Task-by-Task Breakdown
Every task scored individually — sorted highest to lowest AI exposure
examines drawings and specifications to assess job requirements
AI tools like Autodesk Construction Cloud or Procore can parse drawings and flag specification requirements, but a skilled erector must interpret site-specific conditions and practical constraints.
checks alignment of metal parts using spirit level and plumb-rule
Computer vision tools and laser alignment sensors can assist with checking alignment data, but a steel erector must physically interpret and act on results in variable site conditions.
directs hoisting and positioning of girders and other metal parts and checks alignment
AI-assisted crane management software can support lift planning, but directing hoisting and positioning in real time requires experienced human judgment, communication, and situational awareness on site.
arranges for or undertakes bolting and welding of metal parts
Bolting and welding are highly physical, skilled trades requiring hands-on execution; AI can assist with scheduling and quality inspection logging but cannot perform the work itself.
erects ladders, scaffolding or working cage
Physically erecting ladders and scaffolding requires manual dexterity, strength, and real-time safety judgment that no current AI or robotic system can replicate on a live construction site.
ROI Calculator
Steel erectors
This is not a pay rise — it's 216 hours of productive capacity that AI could return to you, valued at your current rate.
The portion of your current salary tied to tasks AI can automate or augment. Not a prediction of job loss — a signal of where your role is changing fastest.
How is this calculated?▾
Task weights — each task is weighted by its O*NET frequency rating. Where frequency data is absent, equal weighting is applied.
AI time reduction — tasks scored as "AI Automates" assume 80% time saving; "AI Assists" assumes 40%; "Human-Led" assumes 5%.
Salary equivalent — annual hours saved × (salary ÷ 1,800 working hours/year).
Value at risk — salary × share of role time in AI-automate or AI-assist tasks.
Figures are indicative estimates for planning purposes, not guarantees of productivity gain or job loss risk.