Not Very Resilient
Last Update: 7/31/2026
AI Resilience Score for Interviewers (Non-Loan):
27.4%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
This result is backed by strong agreement across multiple data sources.
Contributing sources
AI Resilience Report forInterviewers, Except Eligibility and Loan
$45,920 median salary•15,800 annual openings•SOC Code: 43-4111.00
Interviewers, Except Eligibility and Loan are less resilient to AI impacts than most occupations, according to our analysis of 8 sources.
This career gets a "Not Very Resilient" label mainly because so much of the core work, asking scripted questions, recording answers, and coding responses, is exactly the kind of routine, repeatable task that AI tools can handle quickly and cheaply. Chatbots and voice agents can now run conversational interviews at scale, and machine-learning systems can sort through thousands of open-ended answers in minutes, shrinking the need for human interviewers to do those steps.
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This career gets a "Not Very Resilient" label mainly because so much of the core work, asking scripted questions, recording answers, and coding responses, is exactly the kind of routine, repeatable task that AI tools can handle quickly and cheaply. Chatbots and voice agents can now run conversational interviews at scale, and machine-learning systems can sort through thousands of open-ended answers in minutes, shrinking the need for human interviewers to do those steps.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Interviewers (Non-Loan)
Updated Quarterly
How is AI changing Interviewers (Non-Loan) jobs?
If you've ever filled out a survey, you know the basics of what an interviewer does: ask questions, record answers, and clean up the data. A lot of that work is now being shared with AI. According to the American Association for Public Opinion Research's brand-new task force report [1], AI tools are increasingly being used in questionnaire design, interviewing, data processing, analysis, and reporting across the entire survey lifecycle.
Three Wharton and Columbia researchers writing in Harvard Business Review [2] note that the process of collecting data from consumers is typically hard, slow, and costly, and generative AI promises to improve this. New AI "moderators" can run conversational interviews, and machine-learning systems automatically code open-ended responses that humans used to read line by line. Some firms are even experimenting with "silicon sampling," where Pew Research Center explains [3] that some companies ask AI what people would think instead of asking real people.
But humans aren't out of the picture — industry observers at IIEX 2026 reported that the push toward more automation sits side-by-side with the insistence that the human element is the part of research that cannot be automated away.
Sources
How fast is AI adoption growing for Interviewers (Non-Loan)?
Adoption is moving fast because chatbots, voice agents, and text-coding tools are cheap, off-the-shelf, and can analyze thousands of responses in minutes. Still, there are real brakes. Pew's methods team warns that AI estimates tend to stereotype groups of people, have a harder time representing Republican viewpoints than Democratic ones, and understate the level of disagreement in public opinion, so trusted pollsters are refusing to replace humans.
Brookings [4] cautions that evidence on how AI is affecting the labor market today is inconclusive, and claims about harmful impacts on particular groups of workers are premature. And MIT's Andrew McAfee told Fortune [5] that when too much automation is put in too quickly, the apprenticeship ladder is lost — a reason employers may keep entry-level interviewers around. The honest takeaway: routine recording and coding tasks are being absorbed by AI, but skills like building rapport, spotting weird answers, and protecting data quality are exactly where young workers can still shine.
Sources
Will AI replace Interviewers (Non-Loan)?
In part. We think AI will eventually automate a real share of this work, but the human skills built in this role still matter and can carry you further.
Our 27.4% AI Resilience Score reflects a real challenge. The routine core of this job, asking scripted questions, recording answers, and coding responses, is exactly what AI handles well. Tools are already being used across the entire survey lifecycle, from questionnaire design through data processing [1], and generative AI promises to make consumer data collection faster and cheaper [2]. That pressure is not going away.
What stays human is meaningful, though. Pew's methods team found that AI estimates tend to stereotype groups and underrepresent certain viewpoints, which is why trusted research organizations are refusing to fully replace human interviewers [3]. Building rapport, catching odd responses, and protecting data quality are skills machines still struggle with.
The smarter move is to treat this role as a starting point, not a destination. The listening, probing, and quality-control instincts you build here transfer directly into user research, social work, healthcare intake, and qualitative analysis. MIT's Andrew McAfee has noted that rushing automation can destroy the apprenticeship ladder [5], so entry-level experience still has real value. Use it to move toward work where human judgment is the whole point.
Sources
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Latest AI news for Interviewers (Non-Loan)
These articles highlight crucial insights for students pursuing careers as interviewers. The study on algorithmic discrimination reveals the importance of understanding how AI can unintentionally perpetuate biases in recruitment. For instance, the findings about AI job screeners favoring AI-written resumes suggest that familiarity with AI tools could enhance candidate evaluation. Embracing these technological changes can foster AI resilience in your career, allowing you to leverage AI's potential while advocating for fair hiring practices in a rapidly evolving job market.
AI job screeners prefer AI-written resumes over human ones ...
insights.bu.edu • 7/20/2026
May 16, 2026 — Researchers found AI screening tools were 23% to 60% more likely to advance candidates whose resumes were written by the same AI model, raising ... Read more
How AI Could Change the Odds of Landing a Job
www.wsj.com • 7/20/2026
Sep 20, 2024 — Research shows that some AI-driven tasks, such as evaluating job candidates, are more prone to discrimination. But using AI also allows more ... Read more
Incorporating AI impacts in BLS employment projections
www.bls.gov • 7/20/2026
by C Machovec · Cited by 18 — On the one hand, AI is well suited for the occupation's tasks; on the other hand, increased productivity from the use of AI may lower prices and increase demand ... Read more
AI Did The Job Interview. The Results Shocked Everyone
poetsandquantsforexecs.com • 7/20/2026
Sep 25, 2025 — Applicants who interviewed with the AI were 12% more likely to receive a job offer, 18% more likely to actually start the job, and 17% more ... Read more
Ethics and discrimination in artificial intelligence-enabled recruitment practices
www.nature.com • 9/13/2023
This study aims to address the research gap on algorithmic discrimination caused by AI-enabled recruitment and explore technical and managerial solutions.
More Career Info
Career: Interviewers, Except Eligibility and Loan
They ask questions to gather information from people, often for surveys or research, and record their responses to help organizations make informed decisions.
Parent Careers
Employment & Wage Data
Median Wage
$45,920
Jobs (2024)
164,300
Growth (2024-34)
-11.6%
Annual Openings
15,800
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Perform office duties, such as telemarketing or customer service inquiries, maintaining staff records, billing patients, or receiving payments.
2
Meet with supervisor daily to submit completed assignments and discuss progress.
3
Identify and report problems in obtaining valid data.
4
Identify and resolve inconsistencies in interviewees' responses by means of appropriate questioning or explanation.
5
Ensure payment for services by verifying benefits with the person's insurance provider or working out financing options.
6
Perform patient services, such as answering the telephone or assisting patients with financial or medical questions.
7
Explain survey objectives and procedures to interviewees and interpret survey questions to help interviewees' comprehension.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
