AI exposure: First-Line Supervisors of Construction Trades and Extraction Workers
Directly supervise and coordinate activities of construction or extraction workers.
Reading this score
computedAt 16.2% of weighted task load, First-Line Supervisors of Construction Trades and Extraction Workers sits at the 26th percentile, below the point where a job's centre of gravity has moved. 70.0% of what this role does is untouched, meaning current systems cannot produce that work at all, whatever the commercial incentive.
What holds the line here is context. Across this occupation's 15 tasks it averages 2.18 out of 3, the highest of the five friction dimensions. In plain terms, the work depends on knowledge the model cannot hold. Much of this job runs on things that were never written down: what this particular organisation does, what happened last week, what the person across the table actually meant. That context is the barrier, and it erodes as systems are given more access.
The most exposed thing this job does is Estimate material or worker requirements to complete jobs, at 52.5%. The least is Suggest or initiate personnel actions, at 0.0%. A gap of 52.5% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.
Within construction and extraction occupations, this one is more exposed than most. The median across the 61 roles in the group is 5.0%, and only 4 of them score higher than this. Occupational families are not uniform, and the spread inside them is often wider than the gap between them.
What would move this score. Of 15 tasks, 4 are currently banded exposed, 1 assisted and 10 untouched. For that distribution to shift materially would take robotics cheap and reliable enough to deploy at scale, not a better language model. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.
Where the score comes from
judgedEvery task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.
| Dimension | Mean | Scale |
|---|---|---|
| Capability | 1.19 | 0-4 |
| Embodiment | 1.96 | 0-3 |
| Presence | 1.56 | 0-3 |
| Accountability | 1.43 | 0-3 |
| Context | 2.18 | 0-3 |
| Verification cost | 1.63 | 0-3 |
Task by task
15 tasks, O*NET 31.0| Task | Exposed | Assisted | Untouched | Importance | Band |
|---|---|---|---|---|---|
| Estimate material or worker requirements to complete jobs. | 52.5% | 22.5% | 25.0% | 4.14 | exposed |
| Order or requisition materials or supplies. | 50.0% | 25.0% | 25.0% | 4.03 | exposed |
| Record information, such as personnel, production, or operational data on specified forms or reports. | 50.0% | 25.0% | 25.0% | 3.64 | exposed |
| Read specifications, such as blueprints, to determine construction requirements or to plan procedures. | 30.0% | 20.0% | 50.0% | 4.37 | exposed |
| Confer with managerial or technical personnel, other departments, or contractors to resolve problems or to coordinate activities. | 23.3% | 26.7% | 50.0% | 3.91 | assisted |
| Inspect work progress, equipment, or construction sites to verify safety or to ensure that specifications are met. | 12.6% | 20.7% | 66.7% | 4.48 | untouched |
| Coordinate work activities with other construction project activities. | 6.7% | 18.3% | 75.0% | 4.16 | untouched |
| Train workers in construction methods, operation of equipment, safety procedures, or company policies. | 6.7% | 18.3% | 75.0% | 4.01 | untouched |
| Arrange for repairs of equipment or machinery. | 6.7% | 18.3% | 75.0% | 3.82 | untouched |
| Supervise, coordinate, or schedule the activities of construction or extractive workers. | 2.9% | 9.6% | 87.5% | 4.36 | untouched |
| Assign work to employees, based on material or worker requirements of specific jobs. | 0.0% | 0.0% | 100.0% | 4.22 | untouched |
| Analyze worker or production problems and recommend solutions, such as improving production methods or implementing motivational plans. | 0.0% | 0.0% | 100.0% | 4.11 | untouched |
| Locate, measure, and mark site locations or placement of structures or equipment, using measuring and marking equipment. | 0.0% | 0.0% | 100.0% | 3.92 | untouched |
| Provide assistance to workers engaged in construction or extraction activities, using hand tools or other equipment. | 0.0% | 0.0% | 100.0% | 3.76 | untouched |
| Suggest or initiate personnel actions, such as promotions, transfers, or hires. | 0.0% | 0.0% | 100.0% | 3.44 | untouched |
Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean.
Occupations either side of this one
The four closest scores in the same occupational family, then the four closest anywhere in the index.
Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.
What this means in practice
Most of this work is not reachable by current systems, so the immediate pressure is on the administrative edges of the role rather than its core: the scheduling, the reporting, the written records. That is where time is recovered.