Industrial Production Managers
Overall Exposure
2025 vs 2023
Theoretical Exposure
67What AI could do
Observed Exposure
26What AI actually does
Automation Risk Score
34Displacement risk
3-Year Outlook (2025 → 2028)
Projected changes in AI automation metrics over the next 3 years based on estimated data.
Overall Exposure
2025 → 2028 (estimated)
Theoretical Exposure
2025 → 2028 (estimated)
Observed Exposure
2025 → 2028 (estimated)
Automation Risk
2025 → 2028 (estimated)
Exposure Metrics (2023 - 2028)
Task Breakdown
About This Occupation
If you work as an Industrial Production Manager, AI is augmenting your role. With an automation risk of 34/100 and overall exposure at 46%, this role faces medium transformation. BLS projects +2% growth through 2034.
ISCO-08 classification
Manufacturing Managers
Definition
ILO original text (English)
Manufacturing managers plan, direct and coordinate activities concerned with the production of goods, the production and distribution of electricity gas and water, and the collection, treatment and disposal of waste. They may manage the production departments of large enterprises or be the managers of small manufacturing companies.
Definition & vocabulary source
Source: International Labour Organization (ILO) — ISCO-08 Structure
License: ILO CC BY 4.0
Official occupational information
- ONET11-3051.00
Industrial Production Managers
Plan, direct, or coordinate the work activities and resources necessary for manufacturing products in accordance with cost, quality, and quantity specifications.
View original - ONET11-3051.01
Quality Control Systems Managers
Plan, direct, or coordinate quality assurance programs. Formulate quality control policies and control quality of laboratory and production efforts.
View original
Frequently Asked Questions
With an automation risk score of 34%, Industrial Production Managers has a low risk of AI replacement. Most tasks in this role require skills that are difficult for AI to replicate, such as complex decision-making, physical dexterity, or deep interpersonal interaction. AI is more likely to serve as a supportive tool.
Our estimated AI automation risk score for Industrial Production Managers is 34% for 2025. Estimated overall AI exposure is 46%, with 67% theoretical exposure and 26% observed exposure. The estimated risk trend from 2023 to 2025 is 0 points. All of these are model-generated estimates, not measurements.
The tasks with the highest automation potential for Industrial Production Managers are: Plan production schedules and workflows (55%), Monitor quality control processes (48%), Manage production staff and resources (20%). These rates are our own estimates of how much of each task current AI systems can handle. They are not measurements and are not taken from any external dataset.
We estimate a +2% employment change for Industrial Production Managers between 2024 and 2034. This is our own estimate, not a figure published by the U.S. Bureau of Labor Statistics. Combined with an estimated overall AI exposure of 46%, this occupation faces both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.
Since AI primarily augments capabilities in this role, professionals in Industrial Production Managers should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.