# Will eligibility interviewers be replaced by AI? Updated October 2026 Eligibility interviewers score 65 of 100 for AI exposure. The largest share of their task time, 58%, is work AI speeds up while they stay in charge. AI can take over 39% outright, and 3% stays with people. - **39%** AI can do it - **58%** AI helps - **3%** Needs a person High exposure Higher than 96% of the 923 occupations we scored. ## Task by task We graded 17 tasks, listed here from most to least exposed. AI can do 7 of them today, speeds up 9 and leaves 1 to people. | Task | AI exposure | | --- | --- | | Answer applicants' questions about benefits and claim procedures. Routine questions about benefits and claim steps suit chatbots. | 75% AI can do it | | Schedule benefits claimants for adjudication interviews to address questions of eligibility. Scheduling interviews is routine calendar work, easily automated. | 75% AI can do it | | Prepare applications and forms for applicants for such purposes as school enrollment, employment, and medical services. Form filling from existing records is routine data work. | 72% AI can do it | | Keep records of assigned cases, and prepare required reports. Case records and reports are heavily digital and templated. | 70% AI can do it | | Monitor the payments of benefits throughout the duration of a claim. Payment monitoring and anomaly alerts are routine software tasks. | 70% AI can do it | [See what AI can take on across a customer service team](https://www.aigentcy.com/ai-for/customer-service/) ## How eligibility interviewers compare All occupations (923) Office and administrative support (51) **Eligibility interviewers score 65**, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 57 for office and administrative support. ## Pay and outlook in the US Median pay $54,210 a year, May 2025 People employed 154,800 in the US, May 2025 Projected change in jobs +1.6% from 2024 to 2034 ## Skills to build - Conduct annual and special housing reviews with on-site home visits - Run recertification and applicant interviews over Zoom and in person - Verify employer income by phone and written statements - Investigate fraud referrals by weighing documents and applicant statements - Check payment anomaly alerts in Microsoft Access before authorizing assistance - Write case reports and supervisor summaries in Microsoft Word ## Safer roles nearby 5 related occupations with lower scores. - [Recruiters62 out of 100](https://www.aigentcy.com/ai-exposure/recruiters/) - [Interviewers61 out of 100](https://www.aigentcy.com/ai-exposure/interviewers/) - [Compensation specialists54 out of 100](https://www.aigentcy.com/ai-exposure/compensation-specialists/) - [Social services managers47 out of 100](https://www.aigentcy.com/ai-exposure/social-services-managers/) - [Compliance officers58 out of 100](https://www.aigentcy.com/ai-exposure/compliance-officers/) ## Questions about eligibility interviewers and AI Will AI replace eligibility interviewers? Partly. About 6 in 10 working hours go to tasks AI can already do, mostly answering applicant questions about benefits and scheduling adjudication interviews. Home visits, live applicant interviews, and fraud judgment stay with people because they need someone on site and in the room. Which eligibility interviewer tasks is AI taking over? Answering applicants' questions about benefits and claim steps scores 75 on exposure and suits chatbots because the answers are routine. Scheduling adjudication interviews also scores 75 and is calendar work. Preparing forms from existing records, scoring 72, is routine data work. Which eligibility interviewer tasks stay human? Annual, interim, and special housing reviews with home visits score 18, the lowest exposure, because they need a person on site. Applicant interviews score 35 and need rapport and probing judgment. Fraud investigation scores 45 and depends on a person weighing evidence and intent. How can eligibility interviewers stay valuable? Focus on home visits, applicant interviews, and fraud case evidence, since those tasks stay with people. Run recertification interviews over Zoom and verify employer income by phone. Use Microsoft Access and Excel to review payment anomaly alerts before authorizing assistance amounts, and keep case reports in Word accurate for supervisors. ## Related jobs - [Human resources assistants66 out of 100](https://www.aigentcy.com/ai-exposure/human-resources-assistants/) - [Insurance claims clerks72 out of 100](https://www.aigentcy.com/ai-exposure/insurance-claims-clerks/) - [Claims adjusters56 out of 100](https://www.aigentcy.com/ai-exposure/claims-adjusters/) - [Patient representatives49 out of 100](https://www.aigentcy.com/ai-exposure/patient-representatives/) ## Next steps for eligibility interviewers - ### Check your job Your job title is a rough guide. Your actual tasks decide your score. Paste your job description or CV and see which of your tasks AI can do. [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/) ### Check which roles in your team AI can take on We map your team's tasks, show what AI can do today and build the automations that pay back first. [Book an AI audit](https://www.aigentcy.com/audit/) ## Related topics - [**Jobs AI can't replace**Cement masons score lowest, at 8.](https://www.aigentcy.com/ai-exposure/jobs-ai-cant-replace/) - [**Jobs most at risk from AI**Proofreaders score highest, at 76.](https://www.aigentcy.com/ai-exposure/jobs-most-exposed-to-ai/) - [**High-paying jobs with low AI exposure**Radiologists earn a median $420,860 and score 46.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/) - [**Entry-level jobs with low AI exposure**Cement masons need little prior training and score 8.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/) - [**Jobs AI speeds up the most**For natural sciences managers, AI speeds up 96% of task time.](https://www.aigentcy.com/ai-exposure/jobs-ai-speeds-up/) - [**AI and jobs in Malta**15 iGaming roles graded task by task.](https://www.aigentcy.com/ai-exposure/malta/) - [**Skills that keep work human**The skills to build in the jobs AI changes least.](https://www.aigentcy.com/ai-exposure/skills/) - [**Jobs A to Z**Every job we publish, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/) - [**AI exposure by industry**Average scores for 22 occupation groups.](https://www.aigentcy.com/ai-exposure/industries/) - [**Write a CV screening software can read**How applicant tracking systems read a CV, and what to change.](https://www.aigentcy.com/ai-exposure/cv-screening-guide/) - [**AI for businesses**The tasks to automate first in each team and industry.](https://www.aigentcy.com/ai-for/) - [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/) Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.