Will quality control analysts be replaced by AI?
Updated
Quality control analysts score 49 out of 100 for AI exposure. AI helps with 65% of their task time, and they stay in charge. AI can do another 21%. 14% needs a person.
- 21% AI can do it
- 65% AI helps
- 14% Needs a person
Moderate exposure
Higher than 72% of the 923 jobs we scored.
Task by task
We graded 26 tasks, most exposed first. AI can do 6 of them, helps with 17 and leaves 3 to people.
| Task | AI exposure |
|---|---|
| Complete documentation needed to support testing procedures, including data capture forms, equipment logbooks, or inventory forms. Forms, logbooks and inventory records are highly templated and digitizable. | 80% AI can do it |
| Compile laboratory test data and perform appropriate analyses. Compiling and analyzing test data is largely software and AI work. | 72% AI can do it |
| Write technical reports or documentation, such as deviation reports, testing protocols, and trend analyses. Drafting reports, protocols and trend analyses suits LLM writing tools. | 70% AI can do it |
| Write or revise standard quality control operating procedures. AI drafts SOPs well from templates; reviewers approve final versions. | 65% AI can do it |
| Prepare or review required method transfer documentation including technical transfer protocols or reports. Transfer protocols and reports are templated; AI drafts, humans review. | 65% AI can do it |
| Review data from contract laboratories to ensure accuracy and regulatory compliance. AI checks contract lab data against specs; analyst signs off. | 62% AI can do it |
| Interpret test results, compare them to established specifications and control limits, and make recommendations on appropriateness of data for release. AI can check specs and flag; person is responsible for release decision. | 55% AI helps |
| Supply quality control data necessary for regulatory submissions. AI can assemble data packages; QC leads take responsibility for regulatory accountability. | 55% AI helps |
| Evaluate new technologies and methods to make recommendations regarding their use. AI can research and summarize options; evaluation judgement stays human. | 50% AI helps |
| Investigate or report questionable test results. AI can flag suspect results; investigators judge causes and reporting. | 45% AI helps |
Show the other 16 tasks
| Task | AI exposure |
|---|---|
| Identify quality problems and recommend solutions. AI proposes root causes and fixes; people decide and verify. | 45% AI helps |
| Evaluate analytical methods and procedures to determine how they might be improved. AI can scan literature and suggest tweaks; chemists test changes. | 45% AI helps |
| Coordinate testing with contract laboratories and vendors. AI drafts vendor emails and tracks schedules; people negotiate. | 45% AI helps |
| Participate in out-of-specification and failure investigations and recommend corrective actions. AI drafts timelines and summaries; people lead and take responsibility for actions. | 35% AI helps |
| Perform validations or transfers of analytical methods in accordance with applicable policies or guidelines. Bench validation stays manual; AI drafts protocols and reports. | 35% AI helps |
| Develop and qualify new testing methods. New method development is experimental bench work; AI assists design. | 35% AI helps |
| Monitor testing procedures to ensure that all tests are performed according to established item specifications, standard test methods, or protocols. Live monitoring needs people on the floor; software tracks records. | 30% AI helps |
| Receive and inspect raw materials. Physical receiving stays manual; CoA paperwork checks can use AI. | 30% AI helps |
| Serve as a technical liaison between quality control and other departments, vendors, or contractors. AI helps with emails and briefs; relationships need human presence. | 30% AI helps |
| Participate in internal assessments and audits as required. AI helps prep audit documents; walkthroughs and interviews stay human. | 30% AI helps |
| Identify and troubleshoot equipment problems. AI guides diagnosis; physical inspection of equipment stays human. | 25% AI helps |
| Train other analysts to perform laboratory procedures and assays. AI can build training material; live coaching stays with people. | 25% AI helps |
| Conduct routine and non-routine analyses of in-process materials, raw materials, environmental samples, finished goods, or stability samples. Bench work is physical; AI aids planning and data. | 20% AI helps |
| Perform visual inspections of finished products. Visual checks of physical products; AI vision helps only partly. | 18% Needs a person |
| Calibrate, validate, or maintain laboratory equipment. Physical equipment calibration and upkeep needs technician presence. | 12% Needs a person |
| Ensure that lab cleanliness and safety standards are maintained. Cleaning, safety walkthroughs and hygiene need physical presence. | 8% Needs a person |
How quality control analysts compare
All jobs (923)
Life, physical and social science (60)
Pay and outlook in the US
- Median pay
- $62,280 a year, May 2025
- People employed
- 36,955 in the US, May 2025
- Projected change in jobs
- +4.4% from 2024 to 2034
Skills to build
- Query lab results with SQL and SAP software
- Investigate deviations and close them in Sparta Systems TrackWise
- Run statistical trend analysis in The MathWorks MATLAB
- Calibrate and maintain lab equipment with documented logbook records
- Sign off on contract laboratory data against specifications
Safer roles nearby
5 related jobs with lower scores.
Questions about quality control analysts and AI
Will AI replace quality control analysts?
Partly. About 4 in 10 working hours go to tasks AI can already do, mostly compiling lab test data and completing testing documentation. Bench analysis, equipment calibration and visual inspection of finished products stay with people because they need a physical presence in the lab.
Which quality control analyst tasks does AI take over?
Documentation, test data compilation and technical report writing go first. Testing forms, logbooks and inventory records score 80 for exposure because they are highly templated. Compiling lab test data scores 72, since analysis of test data is largely software work. Deviation reports and trend analyses score 70 because LLM writing tools draft them well.
Which quality control analyst tasks stay human?
Lab cleanliness and safety standards stay with people, scoring 8 for exposure, because cleaning and safety walkthroughs need physical presence. Equipment calibration scores 12 and visual inspection of finished products scores 18, since both depend on hands and eyes at the instrument or product.
How can quality control analysts stay valuable?
Take responsibility for the judgment in the tasks AI handles. Run trend analysis in MATLAB and SQL against SAP records, then sign off on contract lab data before release. Close deviations in Sparta Systems TrackWise with root cause decisions. Keep bench skills sharp in calibration and equipment troubleshooting, since physical work stays with people.
Related jobs
Next steps for quality control analysts
Check which roles in your team AI can take on
We map your team's tasks, show what AI can do today and build the automations that pay back first.
Related topics
- Jobs AI can't replaceRoustabouts score lowest, at 6.
- Jobs most at risk from AIProofreaders score highest, at 76.
- High-paying jobs with low AI exposurePediatric surgeons earn a median $559,030 and score 29.
- Entry-level jobs with low AI exposureRoustabouts need little prior training and score 6.
- Jobs AI speeds up the mostAI helps with 98% of the task time for health informatics specialists.
- AI and jobs in Malta15 iGaming roles graded task by task.
- Skills that keep work humanThe skills to build in the jobs AI changes least.
- Jobs A to ZEvery job we score, by first letter.
- AI exposure by industryAverage scores for 22 job groups.
- Write a CV screening software can readHow applicant tracking systems read a CV, and what to change.
- AI for businessesThe tasks to automate first in each team and industry.
- How we score AI exposureThe grading, the weights and every source.