First-Line Supervisors of Production and Operating Workers
First-Line Supervisors of Production and Operating Workers — AI exposure, safer roles, and a pivot plan.
Also known as: Acid Supervisor · Aerosol Supervisor · Abattoir Supervisor · Alum Plant Supervisor · Ammunition Supervisor · Alumina Plant Supervisor
This score estimates how exposed the tasks in a role are to current and near-term AI capabilities. It does not predict whether a specific person will lose a job.
Most exposed tasks
Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.
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Read and analyze charts, work orders, production schedules, and other records and reports to determine production requirements and to evaluate current production estimates and outputs.79
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Calculate labor and equipment requirements and production specifications, using standard formulas.74
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Plan and establish work schedules, assignments, and production sequences to meet production goals.69
Augmentable tasks
Work where AI assists rather than replaces — the productivity frontier of this role.
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Determine standards, budgets, production goals, and rates, based on company policies, equipment and labor availability, and workloads.58
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Plan and develop new products and production processes.58
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Interpret specifications, blueprints, job orders, and company policies and procedures for workers.56
Most durable tasks
Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.
The current data release does not distinguish durable tasks for this role.
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 59 puts First-Line Supervisors of Production and Operating Workers in the third quartile of analyzed occupations. In practice, exposure this high is about the mix: 8 of 20 analyzed tasks lean automatable, 12 augmentable, and 0 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: audit how much of your week sits in the exposed tasks above — then shift time toward the durable set or investigate the adjacent roles below.
Lower-exposure adjacent roles
Shown only when the target is at least 10 points lower under the same score version and skill overlap is at least 50%. These are adjacent roles with lower task exposure — not guaranteed “safe careers”.
Labor-market context
- $74,450median wage
- 673,430employed
- 67,700annual openings
- +1.2%projected growth
Context only — labor statistics are not inputs to the exposure score. See methodology.
Your week probably doesn’t match the average
This page scores the occupation. The $9 Personalized Risk & Action Report scores your task mix — paste what you actually do and get your own score, confidence level, task matrix, human moat, and a 7/30/90-day plan.
Personalize my result — $9Related roles
Adjacent by skills or family — no exposure claim implied.
FAQ — First-Line Supervisors of Production and Operating Workers
- What does a score of 59 mean for a First-Line Supervisors of Production and Operating Workers?
- It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 59 on a 0–100 exposure scale — in the third 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: Read and analyze charts, work orders, production schedules, and other records and reports to determine production requirements and to evaluate current production estimates and outputs; Calculate labor and equipment requirements and production specifications, using standard formulas; Plan and establish work schedules, assignments, and production sequences to meet production goals. Exposure is scored per task from structured data, not generated by a language model.
- Which parts of this job are most durable?
- The current data release does not distinguish durable tasks for this role.
- 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.
Score version jr-v1 · data release 2026.07.11-r1 · updated 2026-07-11 · baseline mapping: 20 of 20 tasks carry source-level provenance · methodology