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AI Automation Index
Will AI Replace Eligibility Interviewers, Government Programs?
Task-level automation exposure for Eligibility Interviewers, Government Programs: 17 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
63%
weighted task index
17 of 17 tasks scored
Median Salary
$54,210 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
High
154,800 people hold this job — size, not growth
Projected 2025–35
+1.6%
employment change
12,700 openings a year · BLS line item
Pay by state
BLS OEWS publishes 53 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$36,840 – $74,080
Highest medians
District of Columbia $74,080
Connecticut $71,940
Michigan $66,830
Washington $66,330
Massachusetts $64,750
Lowest medians
Mississippi $36,840
Florida $37,230
Virgin Islands $38,060
South Carolina $38,670
Guam $39,970
State figures come from the 43-4061 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 63%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 0%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 24%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 12%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 14/100
Low
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
17 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 67%
11 tasks
Medium exposure (≥ 35%) 15%
3 tasks
Low exposure (below 35%) 18%
3 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Constituent Tasks
#9744 · Core · 88% automatable
Compute and authorize amounts of assistance for programs, such as grants, monetary payments, and food stamps.
data analysis — Financial calculations fully automatable
Calculate financial data.
#9739 · Core · 70% automatable
Keep records of assigned cases, and prepare required reports.
text generation — Recording legal info drafted; human confirms facts
Record information about legal matters.
#9736 · Core · 85% automatable
Compile, record, and evaluate personal and financial data to verify completeness and accuracy, and to determine eligibility status.
data analysis — Compiling data or documentation is largely automatable
Compile data or documentation.
#9737 · Core · 30% automatable
Interview and investigate applicants for public assistance to gather information pertinent to their applications.
interpersonal — Live interviewing is human relational work
Interview employees, customers, or others to collect information.
#9733 · Core · 30% automatable
Interview benefits recipients at specified intervals to certify their eligibility for continuing benefits.
interpersonal — Live interviewing is human relational work
Interview employees, customers, or others to collect information.
#9734 · Core · 62% automatable
Interpret and explain information such as eligibility requirements, application details, payment methods, and applicants' legal rights.
information retrieval — AI explains policies; human handles live questions
Explain regulations, policies, or procedures.
#9735 · Core · 70% automatable
Initiate procedures to grant, modify, deny, or terminate assistance, or refer applicants to other agencies for assistance.
decision support — Routing referrals from criteria; human confirms fit
Refer customers to appropriate personnel.
#9738 · Core · 55% automatable
Check with employers or other references to verify answers and obtain further information.
information retrieval — Data gathering aided; verification and consent human
Obtain personal or financial information about customers or applicants.
#9732 · Core · 62% automatable
Answer applicants' questions about benefits and claim procedures.
information retrieval — AI explains policies; human handles live questions
Explain regulations, policies, or procedures.
#9743 · Supplemental · 72% automatable
Provide social workers with pertinent information gathered during applicant interviews.
text generation — Providing routine information to coworkers is text-based
Provide information to coworkers.
#9742 · Supplemental · 55% automatable
Refer applicants to job openings or to interviews with other staff, in accordance with administrative guidelines or office procedures.
decision support — AI coordinates admin; human owns hiring decisions
Administer personnel recruitment or hiring activities.
#9740 · Supplemental · 80% automatable
Schedule benefits claimants for adjudication interviews to address questions of eligibility.
decision support — Calendar scheduling automatable; exceptions need human judgment
Schedule appointments.
#9746 · Supplemental · 72% automatable
Provide applicants with assistance in completing application forms, such as those for job referrals or unemployment compensation claims.
text generation — Drafting and completing forms with human review
Assist individuals with paperwork.
#9741 · Supplemental · 68% automatable
Prepare applications and forms for applicants for such purposes as school enrollment, employment, and medical services.
text generation — Compliance docs drafted; human owns regulatory accuracy
Prepare documentation for contracts, transactions, or regulatory compliance.
#9747 · Supplemental · 30% automatable
Investigate claimants for the possibility of fraud or abuse.
information retrieval — Records research aided; field investigation human
Investigate personal characteristics or activities of individuals.
#9748 · Supplemental · 55% automatable
Conduct annual, interim, and special housing reviews and home visits to ensure conformance to regulations.
information retrieval — Data gathering aided; verification and consent human
Obtain personal or financial information about customers or applicants.
#9745 · Supplemental · 78% automatable
Monitor the payments of benefits throughout the duration of a claim.
data analysis — Financial data monitoring is digital and AI-analyzable
Monitor financial information.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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