First-Line Supervisors of Construction Trades and Extraction Workers

Most exposed tasks

Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.

• Record information, such as personnel, production, or operational data on specified forms or reports.68

Augmentable tasks

Work where AI assists rather than replaces — the productivity frontier of this role.

• Train workers in construction methods, operation of equipment, safety procedures, or company policies.48
• Confer with managerial or technical personnel, other departments, or contractors to resolve problems or to coordinate activities.48
• Supervise, coordinate, or schedule the activities of construction or extractive workers.45

Most durable tasks

Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.

• Provide assistance to workers engaged in construction or extraction activities, using hand tools or other equipment.32
• Read specifications, such as blueprints, to determine construction requirements or to plan procedures.34

Task exposure values and classifications come from the versioned data release — they are structured data, not model output. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 43 puts First-Line Supervisors of Construction Trades and Extraction Workers in the second quartile of analyzed occupations. In practice, exposure this level is about the mix: 1 of 15 analyzed tasks lean automatable, 12 augmentable, and 2 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.

One next move: adopt AI deliberately on the augmentable tasks and build visible evidence of the durable ones.

Lower-exposure adjacent roles

No adjacent role in the current data release is at least 10 points lower with ≥50% skill overlap — we don’t label anything “safer” unless the data supports it.

Labor-market context

• $79,920median wage
• 812,210employed
• 74,400annual openings
• +5.3%projected growth

Context only — labor statistics are not inputs to the exposure score. See methodology.

Related roles

Adjacent by skills or family — no exposure claim implied.

• First-Line Supervisors of Mechanics, Installers, and Repairers 52
• First-Line Supervisors of Production and Operating Workers 59
• First-Line Supervisors of Material-Moving Machine and Vehicle Operators 68
• Solar Energy Installation Managers 45
• First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers 52
• First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand 63

FAQ — First-Line Supervisors of Construction Trades and Extraction Workers

What does a score of 43 mean for a First-Line Supervisors of Construction Trades and Extraction Workers?

It means that, weighted across the 15 tasks we analyzed for this role, the task mix sits at 43 on a 0–100 exposure scale — in the second quartile of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.

Which tasks in this role are most exposed to AI?

The highest-exposure tasks are: Record information, such as personnel, production, or operational data on specified forms or reports. Exposure is scored per task from structured data, not generated by a language model.

Which parts of this job are most durable?

The most durable responsibilities are: Provide assistance to workers engaged in construction or extraction activities, using hand tools or other equipment; Read specifications, such as blueprints, to determine construction requirements or to plan procedures. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.

Is this score personalized to me?

No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.