AI Stole My Job

Will AI replace Regulatory Affairs Managers?

Estimated risk score: 60 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 (41 to 79).

For the occupation as a whole, from ratings of its 27 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.

O*NET-SOC 11-9199.01 · Management

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: 6 of its 27 rated tasks. In O*NET’s words.

  1. Establish procedures or systems for publishing document submissions in hardcopy or electronic formats.
  2. Review materials such as marketing literature or user manuals to ensure that regulatory agency requirements are met.
  3. Direct the preparation and submission of regulatory agency applications, reports, or correspondence.
  4. Maintain current knowledge of relevant regulations, including proposed and final rules.
  5. Review all regulatory agency submission materials to ensure timeliness, accuracy, comprehensiveness, or compliance with regulatory standards.
  6. Develop and maintain standard operating procedures or local working practices.

Tasks rated in 2023 as not sped up by AI

Tasks such a model was rated as not speeding up or taking over: 0 of its 27 rated tasks. In O*NET’s words.

None of its rated tasks.

What the job is

Plan, direct, or coordinate production activities of an organization to ensure compliance with regulations and standard operating procedures.

Also called: RA Manager (Regulatory Affairs Manager), RA Director (Regulatory Affairs Director), Global RA Manager (Global Regulatory Affairs Manager), RA VP, RA Manager, RA Director, CMC Director, RA QA Director.

Closest jobs we score by hand

In the same field (Management). 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