Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Industrial Production Managers
Occupation · SOC 11-3051.00
Plan, direct, or coordinate the work activities and resources necessary for manufacturing products in accordance with cost, quality, and quantity specifications.
Also called: Assembly Manager · Manufacturing Manager · Plant Manager · Production Manager · Area Plant Manager · General Production Manager · Manufacturing Coordinator · Product Line Manager · Production Control Manager · Sub Plant Manager · Bulk Plant Manager · Car Construction Superintendent
Job family: Management Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-11-3051-00/context.md directly.
AI work map
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Market signal
Independent published positions, read together — not a forecast.
- About average employment outlook (+1.9% by 2034)
- 17,100 openings/yr
- Moderate AI exposure
- Median pay $121,440/yr
- Work is mostly on-site (not teleworkable)
- A reversal from 2013 — rated low automation risk then (19th), high AI task-overlap now (58th)
58th-percentile task overlap — yet about 17,100 openings a year (+1.9% projected, BLS) . What exposure means →
AI & job outlook
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Exposure to current AI
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) Moderate | 60th | 0.5 | |
| LLM task exposure, γ (OpenAI / Eloundou) High | 79th | 0.9 | |
| AI assistant applicability (Microsoft) Moderate | 38th | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.5), and including AI-powered software (γ 0.9). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.
Historical automation estimate (2013)
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 0.0 · 19th percentile among occupations · Low
How AI is actually used in this job
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Develop budgets or approve expenditures for supplies, materials, or human resources, ensuring that materials, labor, or equipment are used efficiently to meet production targets. | 0.2% |
Job outlook
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +1.9% by 2034 |
| Projected annual openings | 17,100 |
| Employment 2024 → 2034 | 241,900 → 246,500 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
Where this work sits on the global GenAI gradient
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
Industrial Production Managers sits at the 72nd percentile of 427
occupations on the global GenAI task-exposure gradient
— exposure rose from 2023 to 2025. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
38% mean task exposure (2025)
72nd percentile of 427 placed occupations
+2 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Manufacturing Managers · 1321 | 38% | Minimal |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
Tasks
All 21 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Set and monitor product standards, examining samples of raw products or directing testing during processing, to ensure finished products are of prescribed quality. Core · importance 4.0
- Direct or coordinate production, processing, distribution, or marketing activities of industrial organizations. Core · importance 4.0
- 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. Core · importance 4.0
- Hire, train, evaluate, or discharge staff or resolve personnel grievances. Core · importance 3.9
- Review operations and confer with technical or administrative staff to resolve production or processing problems. Core · importance 3.9
- Develop or implement production tracking or quality control systems, analyzing production, quality control, maintenance, or other operational reports to detect production problems. Core · importance 3.8
- Prepare and maintain production reports or personnel records. Core · importance 3.7
- Review plans and confer with research or support staff to develop new products or processes. Core · importance 3.6
- Develop budgets or approve expenditures for supplies, materials, or human resources, ensuring that materials, labor, or equipment are used efficiently to meet production targets. Core · importance 3.6
- Negotiate materials prices with suppliers. Supplemental · importance 3.5
- Maintain current knowledge of the quality control field, relying on current literature pertaining to materials use, technological advances, or statistical studies. Core · importance 3.5
- Coordinate or recommend procedures for facility or equipment maintenance or modification, including the replacement of machines. Core · importance 3.4
- Initiate or coordinate inventory or cost control programs. Core · importance 3.3
- Conduct site audits to ensure adherence to safety and environmental regulations.
- Develop or enforce procedures for normal operation of manufacturing systems.
- Implement operational and emergency procedures.
- Maintain records to demonstrate compliance with safety and environmental laws, regulations, or policies.
- Monitor permit requirements for updates.
- Optimize operational costs and productivity consistent with safety and environmental rules and regulations.
- Prepare reports on operations and system productivity or efficiency.
- Supervise subordinate employees.
Work activities
- Conduct environmental audits.
- Design industrial processing systems.
- Direct operational or production activities.
- Respond to emergencies to provide assistance.
- Maintain regulatory or compliance documentation.
- Monitor external affairs or events affecting business operations.
- Implement design or process improvements.
- Prepare operational reports.
- Supervise employees.
- Direct sales, marketing, or customer service activities.
- Direct organizational operations, projects, or services.
- Approve expenditures.
- Prepare operational budgets.
- Analyze data to inform operational decisions or activities.
- Monitor organizational procedures to ensure proper functioning.
- Confer with organizational members to accomplish work activities.
- Evaluate employee performance.
- Conduct employee training programs.
- Hire personnel.
- Manage control system activities in organizations.
- Maintain personnel records.
- Prepare operational progress or status reports.
- Evaluate quality of materials or products.
- Develop operating strategies, plans, or procedures.
- Implement organizational process or policy changes.
- Develop organizational methods or procedures.
- Develop specifications for new products or processes.
- Direct facility maintenance or repair activities.
- Recommend organizational process or policy changes.
- Maintain knowledge of current developments in area of expertise.
- Negotiate sales or lease agreements for products or services.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Knowledge
Essential skills
| Speaking | 4.0 | |
| Critical Thinking | 4.0 | |
| Monitoring | 4.0 | |
| Reading Comprehension | 3.9 | |
| Active Listening | 3.9 | |
| Learning Strategies | 3.8 | |
| Active Learning | 3.6 | |
| Writing | 3.4 | |
| Mathematics | 3.4 |
Transferable skills
Abilities
| Oral Comprehension | 4.0 | |
| Written Comprehension | 4.0 | |
| Oral Expression | 4.0 | |
| Problem Sensitivity | 4.0 | |
| Deductive Reasoning | 4.0 | |
| Information Ordering | 4.0 | |
| Inductive Reasoning | 3.9 | |
| Speech Clarity | 3.8 | |
| Speech Recognition | 3.6 | |
| Written Expression | 3.5 | |
| Fluency of Ideas | 3.5 | |
| Category Flexibility | 3.3 |
Skills in demand
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Showing the top 40 of 51.
Tools & technology
Showing the top 40 of 58.
Work context
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
How to get in
- Job zone
- Zone 4 — Job Zone Four: Considerable Preparation Needed
- Education
- Most of these occupations require a four-year bachelor's degree, but some do not.
- Typical entry-level education
- Bachelor's degree · BLS, the typical path — not a requirement
- Related experience
- A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
- Preparation level
- SVP (7.0 to < 8.0) — total schooling plus on-the-job experience.
What to study: Business, Management, Marketing, and Related Support Services , Engineering , Engineering/Engineering-Related Technologies/Technicians , Health Professions and Related Programs . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Education of current workers
Share of people in this occupation at each level of education.
| High School Diploma | 29.4% | |
| Bachelor's Degree | 25.8% | |
| Post-Secondary Certificate | 16.2% | |
| Some College Courses | 11.5% | |
| Associate's Degree (or other 2-year degree) | 8.1% | |
| Less than a High School Diploma | 5.3% | |
| Post-Baccalaureate Certificate | 2.5% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Interest areas
| Management/Administration | 6.5 | |
| Business Initiatives | 3.9 | |
| Engineering | 3.4 | |
| Human Resources | 3.3 | |
| Mechanics/Electronics | 3.1 | |
| Accounting | 2.8 | |
| Finance | 2.4 | |
| Mathematics/Statistics | 2.4 | |
| Construction/Woodwork | 2.2 |
Career interests (Holland / RIASEC)
| Enterprising | 6.0 | |
| Conventional | 5.2 | |
| Realistic | 4.0 | |
| Investigative | 2.9 |
Work styles
| Dependability | 4.0 | |
| Attention to Detail | 3.0 | |
| Leadership Orientation | 2.7 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $74,900 |
| 25th percentile | $94,620 |
| Median (50th) | $121,440 |
| 75th percentile | $156,330 |
| 90th percentile | $197,310 |
| People employed | 234,380 |
Industries that employ this occupation
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Manufacturing · Sector | 174,750 | $119,930 |
| Wholesale Trade · Sector | 15,530 | $111,080 |
| Professional, Scientific, and Technical Services · Sector | 10,730 | $142,420 |
| Management of Companies and Enterprises · Sector | 7,440 | $155,630 |
| Machine Shops · National industry | 4,590 | $101,690 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 3,600 | $106,340 |
| Utilities · Sector | 3,470 | $157,180 |
| Mining, Quarrying, and Oil and Gas Extraction · Sector | 3,250 | $132,380 |
| Construction · Sector | 2,540 | $114,990 |
| Transportation and Warehousing · Sector | 2,460 | $114,660 |
| Engineering Services · National industry | 2,130 | $128,080 |
| Other Services (except Public Administration) · Sector | 2,080 | $95,270 |
Where this work is most concentrated
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Machine Shops · National industry | 11.62× | 4,590 |
| Manufacturing · Sector | 9.01× | 174,750 |
| Fossil Fuel Electric Power Generation · National industry | 8.67× | 940 |
| Nuclear Electric Power Generation · National industry | 6.91× | 390 |
| Utilities · Sector | 3.94× | 3,470 |
| Mining, Quarrying, and Oil and Gas Extraction · Sector | 3.73× | 3,250 |
| Jewelry and Silverware Manufacturing · National industry | 3.63× | 110 |
| Testing Laboratories and Services · National industry | 3.17× | 820 |
Related occupations
Part of the Advanced Manufacturing , Management & Entrepreneurship and Supply Chain & Transportation career clusters.
- General and Operations Managers · 11-1021.00 Compare →
- Quality Control Systems Managers · 11-3051.01 Compare →
- Biomass Power Plant Managers · 11-3051.04 Compare →
- Biofuels Production Managers · 11-3051.03 Compare →
- Supply Chain Managers · 11-3071.04 Compare →
- Transportation, Storage, and Distribution Managers · 11-3071.00 Compare →
- Geothermal Production Managers · 11-3051.02 Compare →
- Construction Managers · 11-9021.00 Compare →
- Project Management Specialists · 13-1082.00 Compare →
- Hydroelectric Production Managers · 11-3051.06 Compare →
- Industrial Engineers · 17-2112.00 Compare →
- Manufacturing Engineers · 17-2112.03 Compare →
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
What you can do with this
Options the data surfaces for Industrial Production Managers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Skills that travel
Capabilities this work builds that are used across many other occupations.
Adjacent roles
Occupations O*NET rates as related — the nearby moves on the map.
Paths in
How people typically prepare for this work.
- Bachelor's degree · typical entry level
- Job zone 4 — Job Zone Four: Considerable Preparation Needed · preparation tier
- Business, Management, Marketing, and Related Support Services · field of study
- Engineering · field of study
Zoom out
On the global GenAI exposure gradient this work sits around the 72nd percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Industrial Production Managers show 58th-percentile AI task overlap — and about 17,100 annual U.S. openings
- Industrial Production Managers rank in the 58th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
- The occupation is projected to see about 17,100 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
- BLS projects employment to be about average (+1.9%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $121,440, across about 234,380 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Industrial Production Managers show 58th-percentile AI task overlap — and about 17,100 annual U.S. openings • Industrial Production Managers rank in the 58th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 17,100 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be about average (+1.9%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $121,440, across about 234,380 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Industrial Production Managers". https://singulariki.com/roles/role-11-3051-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "Industrial Production Managers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-11-3051-00
APA
Singulariki. (2026). Industrial Production Managers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-11-3051-00
BibTeX
@misc{singulariki-role-11-3051-00,
title = {Industrial Production Managers},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-11-3051-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.