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First-Line Supervisors of Production and Operating Workers

First-Line Supervisors of Production and Operating Workers score 40 out of 100, which is elevated exposure to AI. That ranks #414 of 923 US occupations, where #1 is the most exposed. Of the 20 tasks in this job, AI could speed up 3 on its own and 10 more with extra software built on top of it. In April–May 2026, 5 of these tasks showed up in real conversations with Claude, Anthropic's AI assistant.

40/ 100
Elevated
Rank
#414of 923 jobs
US workers
673,430BLS, May 2025
Median pay
$74,450a year
In real AI use
5 of 20tasks, April–May 2026

Task by task

Each task this job involves, as listed by O*NET, rated on whether a large language model like GPT-4 could cut the time it takes by at least half at the same quality. Tasks marked Seen in real AI use appeared in conversations with Claude in April–May 2026 (Anthropic Economic Index).

  • AI can speed this up on its own: 3 (15%)
  • AI can speed this up with extra software: 10 (50%)
  • Little or no AI speed-up: 7 (35%)
  • Keep records of employees' attendance and hours worked.AI can speed this up on its own · core task · Seen in real AI use
  • Interpret specifications, blueprints, job orders, and company policies and procedures for workers.AI can speed this up on its own · core task
  • Calculate labor and equipment requirements and production specifications, using standard formulas.AI can speed this up on its own · core task · Seen in real AI use
  • 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.AI can speed this up with extra software · core task
  • Plan and establish work schedules, assignments, and production sequences to meet production goals.AI can speed this up with extra software · core task · Seen in real AI use
  • Confer with other supervisors to coordinate operations and activities within or between departments.AI can speed this up with extra software · core task
  • Evaluate employee performance.AI can speed this up with extra software · core task · Seen in real AI use
  • Determine standards, budgets, production goals, and rates, based on company policies, equipment and labor availability, and workloads.AI can speed this up with extra software · core task
  • Recommend or implement measures to motivate employees and to improve production methods, equipment performance, product quality, or efficiency.AI can speed this up with extra software · core task
  • Maintain operations data, such as time, production, and cost records, and prepare management reports of production results.AI can speed this up with extra software · core task · Seen in real AI use
  • Requisition materials, supplies, equipment parts, or repair services.AI can speed this up with extra software · core task
  • Recommend or execute personnel actions, such as hirings, evaluations, or promotions.AI can speed this up with extra software · core task
  • Plan and develop new products and production processes.AI can speed this up with extra software · core task
  • Enforce safety and sanitation regulations.Little or no AI speed-up · core task
  • Inspect materials, products, or equipment to detect defects or malfunctions.Little or no AI speed-up · core task
  • Observe work and monitor gauges, dials, and other indicators to ensure that operators conform to production or processing standards.Little or no AI speed-up · core task
  • Direct and coordinate the activities of employees engaged in the production or processing of goods, such as inspectors, machine setters, or fabricators.Little or no AI speed-up · core task
  • Conduct employee training in equipment operations or work and safety procedures, or assign employee training to experienced workers.Little or no AI speed-up · core task
  • Confer with management or subordinates to resolve worker problems, complaints, or grievances.Little or no AI speed-up · core task
  • Set up and adjust machines and equipment.Little or no AI speed-up · core task

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Questions about first-line supervisors of production and operating workers and AI

Will AI replace first-line supervisors of production and operating workers?

Not entirely. Parts of the job are likely to change as AI takes over routine tasks. First-Line Supervisors of Production and Operating Workers score 40 out of 100 (elevated exposure), #414 of 923 US jobs. AI could speed up 13 of the job's 20 tasks, 3 of them on its own, while 7 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.

Which first-line supervisors of production and operating workers tasks can AI do?

The most exposed tasks include "Keep records of employees' attendance and hours worked"; "Interpret specifications, blueprints, job orders, and company policies and procedures for workers"; "Calculate labor and equipment requirements and production specifications, using standard formulas".

Which first-line supervisors of production and operating workers tasks are hardest for AI?

Tasks with little or no AI speed-up include "Enforce safety and sanitation regulations"; "Inspect materials, products, or equipment to detect defects or malfunctions"; "Observe work and monitor gauges, dials, and other indicators to ensure that operators conform to production or processing standards".

Are people already using AI for this work?

Yes. In April–May 2026, 5 of the 20 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.

How many people work as first-line supervisors of production and operating workers, and what do they earn?

About 673,430 people in the US, with median pay of $74,450 a year (BLS, May 2025).

How to read this score. Exposure measures how much of the work AI could speed up, not whether the job will disappear. A highly exposed job can change shape, with people spending less time on routine tasks and more on the rest. The score counts tasks AI can speed up on its own in full, and tasks that need extra software at half weight.

The ratings come from published research based on GPT-4 (2023). To show what's happening now, each task is also checked against the latest Anthropic Economic Index, which records which tasks people actually use AI for. That data is refreshed automatically when Anthropic publishes a new release. Read the full method.

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