Industrial Production Managers

Most exposed tasks

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

• Maintain records to demonstrate compliance with safety and environmental laws, regulations, or policies.76
• Review processing schedules or production orders to make decisions concerning inventory requirements, staffing requirements, work procedures, or duty assignments, considering budgetary limitations and time constraints.74
• Prepare and maintain production reports or personnel records.74

Augmentable tasks

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

• Implement operational and emergency procedures.59
• Optimize operational costs and productivity consistent with safety and environmental rules and regulations.59
• Prepare reports on operations and system productivity or efficiency.59

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 62 puts Industrial Production Managers in the most-exposed quarter of analyzed occupations. In practice, exposure this high is about the mix: 14 of 20 analyzed tasks lean automatable, 6 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

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

• $126,060median wage
• 246,250employed
• 17,100annual openings
• +1.9%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.

• General and Operations Managers 61
• Quality Control Systems Managers 63
• Biomass Power Plant Managers 75
• Biofuels Production Managers 73
• Transportation, Storage, and Distribution Managers 62
• Geothermal Production Managers 70

FAQ — Industrial Production Managers

What does a score of 62 mean for a Industrial Production Managers?

It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 62 on a 0–100 exposure scale — in the most-exposed quarter 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: Maintain records to demonstrate compliance with safety and environmental laws, regulations, or policies; Review processing schedules or production orders to make decisions concerning inventory requirements, staffing requirements, work procedures, or duty assignments, considering budgetary limitations and time constraints; Prepare and maintain production reports or personnel records. 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.