Will AI replace Quality Control Analysts?
Estimated risk score: 55 out of 100
Moderate replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (36 to 74).
For the occupation as a whole, from ratings of its 26 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 19-4099.01 · Life, Physical, and Social Science
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 9 of its 26 rated tasks; the first 6 are shown. In O*NET’s words.
- Complete documentation needed to support testing procedures, including data capture forms, equipment logbooks, or inventory forms.
- Write technical reports or documentation, such as deviation reports, testing protocols, and trend analyses.
- Compile laboratory test data and perform appropriate analyses.
- Supply quality control data necessary for regulatory submissions.
- Review data from contract laboratories to ensure accuracy and regulatory compliance.
- Perform validations or transfers of analytical methods in accordance with applicable policies or guidelines.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 4 of its 26 rated tasks. In O*NET’s words.
- Calibrate, validate, or maintain laboratory equipment.
- Ensure that lab cleanliness and safety standards are maintained.
- Receive and inspect raw materials.
- Train other analysts to perform laboratory procedures and assays.
What the job is
Conduct tests to determine quality of raw materials, bulk intermediate and finished products. May conduct stability sample tests.
Also called: Lab Technician (Lab Tech), QA Tech (Quality Assurance Technician), QA Tech, QC Analyst, QC Associate, QC Specialist, QC Lab Analyst, Laboratory Analyst.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate