Not Very Resilient
Last Update: 6/19/2026
AI Resilience Score for Interviewers (Non-Loan):
26.9%
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
$43,830 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 7 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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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is not very resilient
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.
Read full analysisAnalysis 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 26.9% AI Resilience Score reflects real exposure. AI tools are already being used across the entire survey lifecycle, from questionnaire design to coding open-ended responses [1]. Chatbots and voice agents can run conversational interviews at scale, and machine-learning systems can process thousands of answers in minutes. Routine recording and data-entry tasks are the most vulnerable, and that is a significant chunk of what interviewers do today.
Still, humans are not out of the picture entirely. Pew's methods team found that AI estimates tend to stereotype groups and understate disagreement in public opinion, which is why trusted pollsters are refusing to replace human interviewers [3]. Building rapport, spotting inconsistent answers, and protecting data quality are exactly where people still add value that AI cannot reliably replicate.
The honest career advice: treat this job as a launchpad, not a destination. The skills you build here, listening carefully, asking good questions, and working with data, transfer well into research coordination, UX research, and social services. MIT's Andrew McAfee has noted that rushing automation can erase the apprenticeship ladder [5], so entry-level interviewers who stay curious and keep learning adjacent skills are in the best position to move up and across.
Sources
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Latest AI news for Interviewers (Non-Loan)
The recommended articles highlight critical insights for students pursuing "Interviewers, Except Eligibility and Loan" careers. The study on ethics in AI recruitment emphasizes the importance of understanding algorithmic discrimination, which is essential for fair hiring practices. Additionally, the article on AI replacement risk suggests that while routine tasks may be automated, personal skills and ethical considerations in interviewing remain vital. Embracing tools like AI coaching can enhance interview techniques, ensuring resilience in a changing job landscape. Staying informed and adaptable will be key to thriving in this evolving field.
LockedIn AI - AI Interview Assistant & Meeting Copilot
www.lockedinai.com • 6/20/2026
The #1 AI interview tool trusted by 1M+ professionals. Get real-time answers, live interview AI coaching, and code help during your interview.
AI for Opportunity
www.ceoworks.org • 6/20/2026
Secure, accessible AI for reentry workforce. CEO's 24/7 phone-based AI Voice Coach builds interview skills and confidence—at scale. Partner with CEO.
Introducing AIR, the AI Resilience Report
www.linkedin.com • 6/20/2026
Get AI resilience scores for 1000+ careers. See how AI will change your job using data from Anthropic, Microsoft, and more.
Will AI Replace Interviewers, Except Eligibility and Loan?
www.replacedbai.com • 6/20/2026
Mar 28, 2026 — Based on our analysis, Interviewers, Except Eligibility and Loan have a high risk of AI replacement with a score of 79/100. Many routine tasks ... 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
$43,830
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.
