Will AI replace Eligibility Interviewers, Government Programs?
Estimated risk score: 75 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 (56 to 94).
For the occupation as a whole, from ratings of its 17 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 43-4061.00 · 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: 11 of its 17 rated tasks; the first 6 are shown. In O*NET’s words.
- Answer applicants' questions about benefits and claim procedures.
- Keep records of assigned cases, and prepare required reports.
- Compute and authorize amounts of assistance for programs, such as grants, monetary payments, and food stamps.
- Prepare applications and forms for applicants for such purposes as school enrollment, employment, and medical services.
- Provide applicants with assistance in completing application forms, such as those for job referrals or unemployment compensation claims.
- Compile, record, and evaluate personal and financial data to verify completeness and accuracy, and to determine eligibility status.
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 17 rated tasks. In O*NET’s words.
- Conduct annual, interim, and special housing reviews and home visits to ensure conformance to regulations.
What the job is
Determine eligibility of persons applying to receive assistance from government programs and agency resources, such as welfare, unemployment benefits, social security, and public housing.
Also called: Eligibility Worker, Eligibility Specialist, Social Welfare Examiner (SWEX), Workforce Services Representative (WSR), WSR, SWEX, Case Tech, Contact Rep.
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