# Industrial Production Managers

> Plan, direct, or coordinate the work activities and resources necessary for manufacturing products in accordance with cost, quality, and quantity specifications.

- **SOC code:** 11-3051.00
- **Canonical URL:** https://singulariki.com/roles/role-11-3051-00
- **Also known as:** Assembly Manager, Manufacturing Manager, Plant Manager, Production Manager, Area Plant Manager, General Production Manager, Manufacturing Coordinator, Product Line Manager
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Set and monitor product standards, examining samples of raw products or directing testing during processing, to ensure finished products are of prescribed quality.
- Direct or coordinate production, processing, distribution, or marketing activities of industrial organizations.
- 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.
- Review operations and confer with technical or administrative staff to resolve production or processing problems.
- Hire, train, evaluate, or discharge staff or resolve personnel grievances.
- Develop or implement production tracking or quality control systems, analyzing production, quality control, maintenance, or other operational reports to detect production problems.
- Prepare and maintain production reports or personnel records.
- Review plans and confer with research or support staff to develop new products or processes.
- Develop budgets or approve expenditures for supplies, materials, or human resources, ensuring that materials, labor, or equipment are used efficiently to meet production targets.
- Negotiate materials prices with suppliers.
- Maintain current knowledge of the quality control field, relying on current literature pertaining to materials use, technological advances, or statistical studies.
- Coordinate or recommend procedures for facility or equipment maintenance or modification, including the replacement of machines.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Production and Processing _(knowledge)_
- Administration and Management _(knowledge)_
- Speaking _(essential_skill)_
- Critical Thinking _(essential_skill)_
- Monitoring _(essential_skill)_
- Coordination _(transferable_skill)_
- Judgment and Decision Making _(transferable_skill)_
- Oral Comprehension _(ability)_
- Written Comprehension _(ability)_
- Oral Expression _(ability)_
- Problem Sensitivity _(ability)_
- Deductive Reasoning _(ability)_

**Skills in demand:**
- Information Ordering _(Specialized Skill)_
- Deductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Time Management _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Active Listening _(Common Skill)_
- Systems Analysis _(Specialized Skill)_
- Learning Strategies _(Specialized Skill)_
- Speech Recognition _(Specialized Skill)_
- Complex Problem Solving _(Common Skill)_
- Active Learning _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Outlook _(hot technology, in demand)_
- Microsoft PowerPoint _(hot technology, in demand)_
- SAP software _(hot technology, in demand)_
- Adobe Acrobat _(hot technology)_
- Adobe After Effects _(hot technology)_
- Adobe InDesign _(hot technology)_
- Adobe Photoshop _(hot technology)_
- Autodesk AutoCAD _(hot technology)_
- Intuit QuickBooks _(hot technology)_
- Microsoft Project _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 58th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 60th percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 79th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 38th percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 19th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 1.9% growth (About average); 17.1k annual openings; 241.9k → 246.5k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $121,440; 234,380 employed.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-11-3051-00_