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AI exposure Office and administrative support

Will AI replace eligibility interviewers?

Eligibility Interviewers, Government Programs. US occupation 43-4061.

6.0%

of the time eligibility interviewers spend on their work goes on tasks where AI is already being used to do that work.of eligibility interviewers' working hours go on tasks AI has already started taking off their plate.

Ranked 235 of 756 US occupations. More exposed than 68% of them.Further along than 68% of them.

Average US job 7.7%

Around the middle of the pack.Keeping pace with the average job.

What AI already does for eligibility interviewersWhat eligibility interviewers no longer do alone

O*NET lists 17 tasks for eligibility interviewers. AI use at work shows up in 1 of them. Each score runs from 0.5, where every observed use helps a person with the task, to 1, where every use does the task outright.

  1. Answer applicants' questions about benefits and claim procedures.Core task mostly automated 0.93

What it does not touch, yetWhat still needs a human

16 of the 17 tasks show no AI use at work in the data.

  • Check with employers or other references to verify answers and obtain further information.Core task
  • Compile, record, and evaluate personal and financial data to verify completeness and accuracy, and to determine eligibility status.Core task
  • Compute and authorize amounts of assistance for programs, such as grants, monetary payments, and food stamps.Core task
  • Initiate procedures to grant, modify, deny, or terminate assistance, or refer applicants to other agencies for assistance.Core task
  • Interpret and explain information such as eligibility requirements, application details, payment methods, and applicants' legal rights.Core task
  • Interview and investigate applicants for public assistance to gather information pertinent to their applications.Core task
Show the other 10
  • Interview benefits recipients at specified intervals to certify their eligibility for continuing benefits.Core task
  • Keep records of assigned cases, and prepare required reports.Core task
  • Conduct annual, interim, and special housing reviews and home visits to ensure conformance to regulations.
  • Investigate claimants for the possibility of fraud or abuse.
  • Monitor the payments of benefits throughout the duration of a claim.
  • 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.
  • Provide social workers with pertinent information gathered during applicant interviews.
  • Refer applicants to job openings or to interviews with other staff, in accordance with administrative guidelines or office procedures.
  • Schedule benefits claimants for adjudication interviews to address questions of eligibility.

How that compares

Among the 50 office and administrative support occupations, eligibility interviewers rank 34. The group averages 19.1%, and its most exposed job is Customer Service Representatives at 70.1%. The average US occupation sits at 7.7%.

All 756 occupations, ranked

Just above in the ranking

  1. 233Natural Sciences Managers 6.1%
  2. 233Zoologists and Wildlife Biologists 6.1%
  3. 235Biological Technicians 6.0%

Just below

  1. 237Clinical and Counseling Psychologists 5.9%
  2. 237Electrical Engineers 5.9%
  3. 237Registered Nurses 5.9%

What this does and does not mean

Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.

A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.

Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.