Will AI replace Regulatory Affairs Specialists?
Estimated risk score: 69 out of 100
High 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 (50 to 88).
For the occupation as a whole, from ratings of its 32 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 13-1041.07 · Business and Financial Operations
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 32 rated tasks; the first 6 are shown. In O*NET’s words.
- Write or update standard operating procedures, work instructions, or policies.
- Prepare responses to customer requests for information, such as product data, written regulatory affairs statements, surveys, or questionnaires.
- Compile and maintain regulatory documentation databases or systems.
- Coordinate efforts associated with the preparation of regulatory documents or submissions.
- Identify relevant guidance documents, international standards, or consensus standards.
- Maintain current knowledge base of existing and emerging regulations, standards, or guidance documents.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 1 of its 32 rated tasks. In O*NET’s words.
- Direct the collection and preparation of laboratory samples as requested by regulatory agencies.
What the job is
Coordinate and document internal regulatory processes, such as internal audits, inspections, license renewals, or registrations. May compile and prepare materials for submission to regulatory agencies.
Also called: Regulatory Engineer, Regulatory Affairs Associate (RA Associate), Regulatory Affairs Consultant (RA Consultant), Regulatory Affairs Specialist (RA Specialist), RA Analyst, RA Associate, RA Consultant, RA Specialist.
Closest jobs we score by hand
In the same field (Business and Financial Operations). Different jobs, each scored by a person.
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