Will AI replace Quality Control Systems Managers?
AI reaches a large part of this job’s work.
47/100
High exposure
More exposed to AI than 73% of US workers.
- AI already used in
- 3% of the work
- As AI tools mature: up to
- 76% of the work
What the job involves
Plan, direct, or coordinate quality assurance programs. Formulate quality control policies and control quality of laboratory and production efforts.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Already happening(1)
- Confer with marketing and sales departments to define client requirements and expectations.
Within reach(19)
- Review and update standard operating procedures or quality assurance manuals.
- Review quality documentation necessary for regulatory submissions and inspections.
- Monitor performance of quality control systems to ensure effectiveness and efficiency.
- Identify quality problems or areas for improvement and recommend solutions.
- Direct the tracking of defects, test results, or other regularly reported quality control data.
and 14 more
Out of reach(7)
- Verify that raw materials, purchased parts or components, in-process samples, and finished products meet established testing and inspection standards.
- Direct product testing activities throughout production cycles.
- Stop production if serious product defects are present.
- Coordinate the selection and implementation of quality control equipment, such as inspection gauges.
- Collect and analyze production samples to evaluate quality.
and 2 more
Also called
Quality Control Manager (QC Manager) · Quality Control Supervisor (QC Supervisor) · QC Manager · QC Supervisor · Quality Assurance Director (QA Director) · Quality Assurance Manager (QA Manager) · Quality Director · Quality Manager
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics