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AI Automation Index
Will AI Replace Quality Control Systems Managers?
Task-level automation exposure for Quality Control Systems Managers: 27 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
54%
weighted task index
27 of 27 tasks scored
Median Salary
$126,060 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
High
246,250 people hold this job — size, not growth
Projected 2025–35
+2.6%
employment change
17,000 openings a year · BLS line item
Pay by state
BLS OEWS publishes 52 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$100,470 – $153,000
Highest medians
Delaware $153,000
Wyoming $151,490
Massachusetts $148,050
New Jersey $147,260
New Hampshire $146,590
Lowest medians
Guam $100,470
Iowa $106,510
Nebraska $107,200
Idaho $107,340
South Dakota $107,490
State figures come from the 11-3051 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 54%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 0%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 65%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 12%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 17/100
Low
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
27 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 43%
12 tasks
Medium exposure (≥ 35%) 38%
10 tasks
Low exposure (below 35%) 18%
5 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Constituent Tasks
#15405 · Core · 25% automatable
Stop production if serious product defects are present.
interpersonal — Directing production operations is human supervisory authority
Inspect condition or functioning of facilities or equipment. Direct operational or production activities.
#15415 · Core · 75% automatable
Review and update standard operating procedures or quality assurance manuals.
text generation — Document organizational procedures from provided content
Document organizational or operational procedures.
#15430 · Core · 60% automatable
Monitor performance of quality control systems to ensure effectiveness and efficiency.
data analysis — Procedure conformance monitoring is largely document and data based
Monitor organizational procedures to ensure proper functioning.
#15414 · Core · 80% automatable
Review quality documentation necessary for regulatory submissions and inspections.
text generation — Policy compliance document review, human owns final call
Review documents or materials for compliance with policies or regulations.
#15428 · Core · 59% automatable
Analyze quality control test results and provide feedback and interpretation to production management or staff.
data analysis — Operational data analysis; manager owns decisions
Analyze data to inform operational decisions or activities. Confer with organizational members to accomplish work activities.
#15413 · Core · 45% automatable
Verify that raw materials, purchased parts or components, in-process samples, and finished products meet established testing and inspection standards.
visual inspection — Material quality often needs hands-on or visual inspection
Evaluate quality of materials or products.
#15429 · Core · 30% automatable
Oversee workers including supervisors, inspectors, or laboratory workers engaged in testing activities.
interpersonal — Employee supervision is accountability-bearing human work
Supervise employees.
#15431 · Core · 33% automatable
Direct product testing activities throughout production cycles.
interpersonal — Managing control systems needs human accountability
Manage control system activities in organizations.
#15421 · Core · 45% automatable
Instruct staff in quality control and analytical procedures.
interpersonal — Program design aided, delivery and engagement are human
Conduct employee training programs.
#15424 · Core · 35% automatable
Direct the tracking of defects, test results, or other regularly reported quality control data.
interpersonal — Directing organizational operations carries accountability
Direct organizational operations, projects, or services.
#15417 · Core · 60% automatable
Participate in the development of product specifications.
decision support — Specs drafted; human validates feasibility
Develop specifications for new products or processes.
#15420 · Core · 66% automatable
Identify quality problems or areas for improvement and recommend solutions.
data analysis — Effectiveness assessment from data; human reviews
Analyze data to assess operational or project effectiveness. Recommend organizational process or policy changes.
#15411 · Core · 45% automatable
Collect and analyze production samples to evaluate quality.
visual inspection — Material quality often needs hands-on or visual inspection
Evaluate quality of materials or products.
#15416 · Core · 82% automatable
Produce reports regarding nonconformance of products or processes, daily production quality, root cause analyses, or quality trends.
text generation — Status/progress reports from tracked data
Prepare operational progress or status reports.
#15427 · Core · 59% automatable
Communicate quality control information to all relevant organizational departments, outside vendors, or contractors.
text generation — AI drafts policy communications; human approves
Communicate organizational policies and procedures. Communicate organizational information to customers or other stakeholders.
#15418 · Core · 45% automatable
Monitor development of new products to help identify possible problems for mass production.
data analysis — Systems data monitored by AI; facilities need human oversight
Monitor facilities or operational systems.
#15422 · Core · 58% automatable
Identify critical points in the manufacturing process and specify sampling procedures to be used at these points.
decision support — AI proposes procedures; human validates fit
Develop organizational methods or procedures.
#15425 · Core · 47% automatable
Create and implement inspection and testing criteria or procedures.
decision support — AI drafts strategies; human owns operational judgment
Implement organizational process or policy changes. Develop operating strategies, plans, or procedures.
#15423 · Core · 75% automatable
Document testing procedures, methodologies, or criteria.
text generation — Document organizational procedures from provided content
Document organizational or operational procedures.
#15407 · Core · 80% automatable
Review statistical studies, technological advances, or regulatory standards and trends to stay abreast of issues in the field of quality control.
information retrieval — AI summarizes developments; human retains expertise
Maintain knowledge of current developments in area of expertise.
#15410 · Core · 33% automatable
Coordinate the selection and implementation of quality control equipment, such as inspection gauges.
interpersonal — Managing control systems needs human accountability
Manage control system activities in organizations.
#15408 · Core · 72% automatable
Generate and maintain quality control operating budgets.
data analysis — Budget drafting from assumptions; human validates assumptions
Prepare operational budgets.
#15419 · Core · 65% automatable
Instruct vendors or contractors on quality guidelines, testing procedures, or ways to eliminate deficiencies.
decision support — Technical advice needs product-specific human judgment
Advise customers on technical or procedural issues.
#15426 · Core · 45% automatable
Confer with marketing and sales departments to define client requirements and expectations.
interpersonal — Coordinating work through live human interaction
Confer with organizational members to accomplish work activities.
#15409 · Core · 65% automatable
Evaluate new testing and sampling methodologies or technologies to determine usefulness.
decision support — Technology evaluation aided; strategic judgment human
Evaluate new technologies or methods.
#15406 · Core · 66% automatable
Review and approve quality plans submitted by contractors.
visual inspection — Technical drawing review aided, human verifies
Review details of technical drawings or specifications.
#15412 · Supplemental · 20% automatable
Audit and inspect subcontractor facilities including external laboratories.
visual inspection — Physical condition/function check needs hands-on access
Inspect condition or functioning of facilities or equipment.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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