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Construction & Extraction · Updated Aug 2026

First-Line Supervisors of Construction Trades and Extraction Workers

Directly supervise and coordinate activities of construction or extraction workers.

JVS 2.0.0-phase4b
AI Exposure
66/100
High

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
44/100
Moderate

How likely exposure is to translate into reduced human demand.

Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured

Evidence quality
Confidence81/100
Task coverage81%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Assign work to employees, based on material or worker requirements of specific jobs.High
70
Read specifications, such as blueprints, to determine construction requirements or to plan procedures.High
68
Supervise, coordinate, or schedule the activities of construction or extractive workers.High
62
Inspect work progress, equipment, or construction sites to verify safety or to ensure that specifications are met.High
53
Coordinate work activities with other construction project activities.High
68
Analyze worker or production problems and recommend solutions, such as improving production methods or implementing motivational plans.High
67
Train workers in construction methods, operation of equipment, safety procedures, or company policies.High
70
Locate, measure, and mark site locations or placement of structures or equipment, using measuring and marking equipment.Medium
68
Provide assistance to workers engaged in construction or extraction activities, using hand tools or other equipment.Medium
64
Confer with managerial or technical personnel, other departments, or contractors to resolve problems or to coordinate activities.Medium
66
Record information, such as personnel, production, or operational data on specified forms or reports.Medium
68
Suggest or initiate personnel actions, such as promotions, transfers, or hires.Medium
70
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Assign work to employees, based on material or worker requirements of specific jobs.70
  2. Train workers in construction methods, operation of equipment, safety procedures, or company policies.70
  3. Suggest or initiate personnel actions, such as promotions, transfers, or hires.70
  4. Read specifications, such as blueprints, to determine construction requirements or to plan procedures.68
Hardest to automate

Where people still matter

These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.

  1. Assign work to employees, based on material or worker requirements of specific jobs.01
  2. Read specifications, such as blueprints, to determine construction requirements or to plan procedures.02
  3. Supervise, coordinate, or schedule the activities of construction or extractive workers.03
  4. Coordinate work activities with other construction project activities.04
  5. Analyze worker or production problems and recommend solutions, such as improving production methods or implementing motivational plans.05
Where else this work leads

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Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.

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Beyond AI capability

Adoption and labour-market outlook

Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.

Human dependency83
Physical dependency53
Adoption pressure37
Labour-market resilience76
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence81/100
CalculatedAug 21, 2026
Read methodology →