SOC 43-4111

Interviewers, Except Eligibility and Loan AI displacement risk

Scripted survey and intake interviewing is a direct target for AI voice agents, which can administer questionnaires at unlimited scale. Probing inconsistent answers, maintaining response rates, and handling sensitive interviews keep some human interviewers.

Exposure80

Share and intensity of work current AI systems can materially affect.

Automation62%

Likely potential for exposed tasks to move to software after workflow integration.

Risk bandHigh

Research shows respondents disclose differently to bots than to people, which matters for sensitive surveys. But routine data collection is shifting to automated channels, and the role's volume is highest exactly where scripting is tightest.

Distribution

Where Interviewers, Except Eligibility and Loan sits across 620 tracked roles

Interviewers, Except Eligibility and Loan · 70050100

Displacement pressure 70 — higher than 93% of the 620 occupations tracked on displacement.ai.

Score version

This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.

16 O*NET task statements matched to SOC 43-4111. The displayed task profile combines these official task statements with the current public score model.

Median wage context: $45,920 (May 2025, US national). The latest BLS row matched SOC 43-4111.

Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.

2030 economic stress test

How Anthropic's scenarios classify Interviewers, Except Eligibility and Loan

SOC 43-4111 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 70/100 role score and are not an occupation forecast.

Modest change

+0.4% group wage

-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.

Economy-wide: +1.6% GDP and 3.9% unemployment.

Substantial change

-0.3% group wage

-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.

Economy-wide: +8.3% GDP and 4.6% unemployment.

Extreme change

-11.5% group wage

-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.

Economy-wide: +32.4% GDP and 11.9% unemployment.

Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.

Official task evidence

O*NET task matches for Interviewers, Except Eligibility and Loan

The current evidence import matched 16 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.

Dataset31.0 (August 2026)
Matched tasks16
SOC43-4111
  • Core task / ID 2627

    Ask questions in accordance with instructions to obtain various specified information, such as person's name, address, age, religious preference, or state of residency.

  • Core task / ID 2634

    Identify and report problems in obtaining valid data.

  • Core task / ID 2633

    Ensure payment for services by verifying benefits with the person's insurance provider or working out financing options.

  • Core task / ID 20435

    Perform office duties, such as telemarketing or customer service inquiries, maintaining staff records, billing patients, or receiving payments.

  • Core task / ID 2630

    Review data obtained from interview for completeness and accuracy.

  • Core task / ID 2629

    Compile, record, and code results or data from interview or survey, using computer or specified form.

Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.

Task profile

Where AI changes the work

language

Administer scripted interviews

Exposure 84, automation 68%, augmentation 20%.

information

Record and code responses

Exposure 78, automation 62%, augmentation 24%.

O*NET evidence: Compile, record, and code results or data from interview or survey, using computer or s... (ID 2629)

social

Clarify inconsistent answers

Exposure 44, automation 20%, augmentation 54%.

compliance

Verify data completeness

Exposure 62, automation 42%, augmentation 50%.

O*NET evidence: Review data obtained from interview for completeness and accuracy. (ID 2630)

TaskExposureAutomationAugmentation
Administer scripted interviews8468%20%
Record and code responses7862%24%
Clarify inconsistent answers4420%54%
Verify data completeness6242%50%

Transition pathways

Adjacent moves that preserve existing skills

role redesign

Research Interviewer Supervisor

Training horizon: 2-4 months. Skill overlap 72. Wage preservation signal 112.

  • Manage interviewer teams
  • Audit response quality
  • Handle refusal conversions
High
adjacent role

Patient Intake Coordinator

Training horizon: 2-4 months. Skill overlap 68. Wage preservation signal 104.

  • Learn healthcare intake rules
  • Practice insurance verification
  • Document complex cases
High

Comparison guides

Compare the next move before you commit

What the AI risk score means for Interviewers, Except Eligibility and Loan

The displacement pressure score for Interviewers, Except Eligibility and Loan is 70. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.

For this role, the clearest risk pattern is visible at the task level. Administer scripted interviews carries 68% automation pressure, while Clarify inconsistent answers carries 54% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.

Labor-market context and wage risk

Median wage: $45,920 (May 2025, US national). Employment context: Survey and intake interviewing role with voice-AI exposure. Typical education: High school diploma or equivalent.

Wage vulnerability is 66, while transition feasibility is 64. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.

  • High substitution pressure
  • Voice AI administers routine surveys
  • Sensitive interviewing stays human

Upskilling priorities

Skills that make this role more resilient

The safest upskilling plan starts with skills already close to the work. For Interviewers, Except Eligibility and Loan, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.

Priority 1

Interview technique

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 2

Data accuracy

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 3

Respondent relations

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 4

Documentation

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

90-day transition plan

The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.

  1. In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
  2. By 60 days, complete one small project connected to Research Interviewer Supervisor, such as manage interviewer teams.
  3. By 90 days, compare internal openings and external postings for Research Interviewer Supervisor or Patient Intake Coordinator and update your resume around measurable workflow outcomes.

FAQ

Questions about AI and Interviewers, Except Eligibility and Loan

Will AI replace Interviewers, Except Eligibility and Loan?

Scripted survey and intake interviewing is a direct target for AI voice agents, which can administer questionnaires at unlimited scale. Probing inconsistent answers, maintaining response rates, and handling sensitive interviews keep some human interviewers. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.

Which parts of Interviewers, Except Eligibility and Loan work are most exposed to AI?

Administer scripted interviews and Record and code responses show the strongest automation pressure in this model. Clarify inconsistent answers and Verify data completeness are better treated as AI-augmented work.

What should Interviewers, Except Eligibility and Loan learn next?

Start with Interview technique, Data accuracy, Respondent relations. The most practical adjacent paths in this model are Research Interviewer Supervisor and Patient Intake Coordinator.

How should this score be used?

Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.

Sources

Evidence trail