Will AI replace Statistical Assistants?
Estimated risk score: 90 out of 100
Very 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 (71 to 100).
For the occupation as a whole, from ratings of its 14 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 43-9111.00 · Office and Administrative Support
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: 12 of its 14 rated tasks; the first 6 are shown. In O*NET’s words.
- Enter data into computers for use in analyses or reports.
- Check source data to verify completeness and accuracy.
- Code data prior to computer entry, using lists of codes.
- Compile reports, charts, or graphs that describe and interpret findings of analyses.
- Compile statistics from source materials, such as production or sales records, quality-control or test records, time sheets, or survey sheets.
- Compute and analyze data, using statistical formulas and computers or calculators.
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 14 rated tasks. In O*NET’s words.
- Discuss data presentation requirements with clients.
What the job is
Compile and compute data according to statistical formulas for use in statistical studies. May perform actuarial computations and compile charts and graphs for use by actuaries. Includes actuarial clerks.
Also called: Actuarial Assistant, Actuarial Technician, Bookman, Compiler, Fiscal Clerk, Actuary Clerk, Data Compiler, Mileage Clerk.
Closest jobs we score by hand
In the same field (Office and Administrative Support). 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