Will AI replace Validation Engineers?
Estimated risk score: 52 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 (33 to 71).
For the occupation as a whole, from ratings of its 22 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 17-2112.02 · Architecture and Engineering
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: 11 of its 22 rated tasks; the first 6 are shown. In O*NET’s words.
- Create, populate, or maintain databases for tracking validation activities, test results, or validated systems.
- Communicate with regulatory agencies regarding compliance documentation or validation results.
- Design validation study features, such as sampling, testing, or analytical methodologies.
- Develop validation master plans, process flow diagrams, test cases, or standard operating procedures.
- Direct validation activities, such as protocol creation or testing.
- Prepare detailed reports or design statements, based on results of validation and qualification tests or reviews of procedures and protocols.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 2 of its 22 rated tasks. In O*NET’s words.
- Draw samples of raw materials, intermediate products, or finished products for validation testing.
- Maintain validation test equipment.
What the job is
Design or plan protocols for equipment or processes to produce products meeting internal and external purity, safety, and quality requirements.
Also called: Supplier Quality Engineer, Quality Management Systems Engineer, Failure Analyst, Validation Specialist, Qualification Engineer, Product Quality Engineer, Quality Control Engineer, Corporate Quality Engineer.
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