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◀ scan anotherFIRST-LINE SUPERVISORS OF CONSTRUCTION TRADES AND EXTRACTION WORKERSshare ⧉
EXPOSURE TO AI
40%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
3%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
A co-pilot is coming for the busywork, not the wheel.

40% of this role’s O*NET tasks are within reach of today’s AI. That is the core-weighted exposure score from Eloundou et al. 2023 (“GPTs are GPTs”). It measures a capability ceiling, not a headcount forecast. In the blast radius. A real slice of the work is already automatable. The rest isn’t.

WHAT AI CAN ALREADY DO
  • Record information, such as personnel, production, or operational data on specified forms or reports
  • Coordinate work activities with other construction project activities
  • Estimate material or worker requirements to complete jobs
  • Analyze worker or production problems and recommend solutions, such as improving production methods or implementing motivational plans
  • Inspect work progress, equipment, or construction sites to verify safety or to ensure that specifications are met
WHAT IT STILL CAN’T
  • Train workers in construction methods, operation of equipment, safety procedures, or company policies
  • Provide assistance to workers engaged in construction or extraction activities, using hand tools or other equipment
  • Confer with managerial or technical personnel, other departments, or contractors to resolve problems or to coordinate activities
  • Arrange for repairs of equipment or machinery
THE HONEST PART. A percentage is not a pink slip. High exposure usually means a role shrinks and shifts toward judgment, direction and responsibility: the parts a model can’t sign its name to. Exposure ≠ displacement. Breathe.
SOURCES: O*NET 30.3 occupational tasks · Eloundou et al. 2023 (“GPTs are GPTs”,arXiv:2303.10130) · Anthropic Economic Index 2026 (CC-BY)  | how this is calculated  | last updated 2026-07-16