Will AI replace Interviewers, Except Eligibility and Loan?
On paper, AI could touch ~67% of the work in Interviewers, Except Eligibility and Loan — and unlike most jobs, it's already showing up in the real workday, not just the theory.
O*NET-SOC 43-4111
How your 12 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a high share of this job's tasks (~67%). By late 2025, real-world AI use had reached about 39% of its task activity (already common). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~67%), real-world use (~39%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 12 tasks, ratedBased on real task-level AI scores — click to collapse
- Ask questions in accordance with instructions to obtain various specified information, such as person's name, address, age, religious preference, or state of residency.
- Identify and report problems in obtaining valid data.
- Review data obtained from interview for completeness and accuracy.
- Compile, record, and code results or data from interview or survey, using computer or specified form.
- Assist individuals in filling out applications or questionnaires.
- Identify and resolve inconsistencies in interviewees' responses by means of appropriate questioning or explanation.
- Prepare reports to provide answers in response to specific problems.
- Ensure payment for services by verifying benefits with the person's insurance provider or working out financing options.
- Perform office duties, such as telemarketing or customer service inquiries, maintaining staff records, billing patients, or receiving payments.
- Perform patient services, such as answering the telephone or assisting patients with financial or medical questions.
- Supervise or train other staff members.
- Meet with supervisor daily to submit completed assignments and discuss progress.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.