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Time Machine

Interviewers, Except Eligibility and Loan

Scrub through 101years of this role's history, from when it first emerged, through every wave of technology that reshaped it, to the cited projections for where it's heading next.

2026drag to travel through time
195019752000now
2026
Known today as Interviewers, Except Eligibility and Loan (BLS SOC 43-4111)
Latest actual · 2024
157K
OEWS is a point-in-time survey snapshot, not a continuous time series; BLS advises against using it for year-over-year trend comparison.
Latest actual · 2024
$43,830
Source: BLS-OEWS
Each dot is a cited figure over time; the dotted line only links them (values between aren't measured). Hollow dots are estimates.
Beat · 2026

Gallup publishes research on its own pilot testing of AI-enabled telephone interviewing, reporting tests across more than half a million call attempts in seven languages and four continents. The system can probe and ask follow-up questions -- capabilities beyond earlier interactive voice response technology. Gallup reports that many respondents evaluate the AI survey experience positively and that AI may reduce social desirability bias. The technology is framed by Gallup as a scalability tool to reach underrepresented populations, rather than explicitly as a workforce reduction tool -- but the implication for live interviewer employment in survey research is directionally clear.

Tools of the era

The tools that defined the work

Select an era to see how it reshaped the work.

  • Paper questionnaire + clipboard (quota sampling field interviewing era)

    The founding generation of survey interviewers worked with printed questionnaires, pencils, and a list of assigned respondents determined by quota: so many men, so many women, so many in a given income bracket, so many in each age group. Gallup's interviewers carried their quota assignments and a scripted questionnaire into neighborhoods and knocked on doors. The skill was social: projecting trustworthiness, managing doorstep reluctance, probing vague answers without leading the respondent, and completing legible paper records that could be mailed back to a tabulation center. The technology was none -- no recording devices (for most surveys), no telephony, no computing. Everything rested on the interviewer's training and judgment in the field.

    Paper chartClinical notes
  • Telephone survey (random sampling via landline, separate from CATI)

    As US landline telephone penetration crossed 50% of households in the early 1950s and approached 90% by the late 1960s, survey organizations shifted a growing share of interviewing from face-to-face door-to-door fieldwork to centralized telephone operations. The telephone interview was cheaper, faster, and safer for interviewers. It also changed the social dynamics of the job: the interviewer no longer needed to physically enter communities, manage doorstep body language, or navigate unfamiliar neighborhoods. What replaced those skills was telephone voice technique -- pacing, warmth over wire, handling early hang-ups, probing without visual cues. Three Eras of Survey Research (Groves 2011) marks the 1960s telephone shift as the transformation of survey interviewing from a primarily field-based craft into a primarily phone-based one, with interview centers clustering in low-wage labor markets.

    Work toolChanging equipment
  • Hospital admissions software + insurance verification systems (Medicare/Medicaid era)

    The 1965 passage of Medicare and Medicaid fundamentally expanded the volume of insurance verification, eligibility checking, and patient history intake that hospitals had to conduct per admission. What had been a relatively simple registration desk function became a structured intake interview: the admissions clerk now had to verify primary and secondary insurance coverage, collect patient demographics for billing, obtain consent forms, and document presenting complaint in a format legible to billing coders. Early dedicated admissions systems (paper-based, then minicomputer-based in the 1970s-80s) replaced the freeform registration ledger with structured intake screens. The patient access representative or admissions interviewer emerged as a distinct job title in this period -- a specialized clerical role at the intersection of patient-facing communication and administrative data-entry.

    Work toolChanging equipment
  • CATI -- Computer-Assisted Telephone Interviewing (Chilton Research 1971, Census CATI 1983)

    Computer-assisted telephone interviewing was introduced by Chilton Research Services in 1971, the first system to present questionnaire items on a computer terminal as the interviewer spoke with respondents, branching automatically based on answers. CATI eliminated paper-questionnaire routing errors, enforced skip logic, and allowed real-time data entry without a separate keypunch step. The US Census Bureau tested CATI as a nonresponse follow-up tool for the 1982 National Survey of Natural and Social Scientists and Engineers, with a minicomputer supporting up to 30 stations. By 1984, CATI software was documented in the American Statistical Association proceedings as a mainstream methodology. The interviewer's job shifted: from pencil-and-paper to keyboard-and-screen, from routing logic held in memory to logic enforced by software, from mailing paper responses to transmitting digital records. CATI made telephone interviewers much more productive per hour -- and also made it easier for managers to monitor and measure their work, introducing the early form of call-center performance management that would become standard.

    Effect on the work

    CATI centralized the survey interview workforce into dedicated telephone facilities, replacing a dispersed network of community-based field interviewers. Census estimated in 1982 that CATI could reduce nonresponse follow-up costs by 30% relative to paper methods. The productivity gain supported larger sample sizes with the same workforce, partially offsetting the headcount effect as telephone survey volumes grew.

    Work toolChanging equipment
  • EHR patient registration workflows (Epic, Cerner pre-admission systems)

    The wide deployment of electronic health record systems in US hospitals through the 1990s and 2000s transformed the patient admissions interviewer's work environment. Epic Systems and Cerner (founded 1979 and 1979 respectively, but reaching wide hospital deployment in the 1990s-2000s) moved patient registration from paper forms and minicomputer screens into integrated workflow systems tied to scheduling, billing, and clinical records. The admissions interviewer now worked within a structured software environment that prompted for each required field, validated insurance numbers in real time against payer databases, and flagged missing or inconsistent information before the patient left the registration desk. HIPAA (1996) added a mandatory privacy-notice workflow to every encounter. The net effect: the job became more standardized, more auditable, and more reliant on system proficiency -- but did not shrink in headcount, as the complexity of insurance verification and payer mix grew faster than the efficiency gains.

    Electronic recordDigital charting
  • Declining response rates + web surveys (AAPOR response rate collapse)

    The American Association for Public Opinion Research (AAPOR) documented the collapse of telephone survey response rates throughout the 2000s and 2010s: response rates for live-interviewer telephone surveys fell from approximately 36% in 2000 to below 6% by 2018, driven by caller-ID screening, the shift from landlines to mobile phones (where cold-calling had legal restrictions under the TCPA), and growing respondent fatigue. For telephone survey interviewers, this meant far more calling to reach the same number of completed interviews: a job that had once averaged roughly 15-20 contacts per hour now required 60-80. Survey organizations responded by reducing labor costs: shifting to web-based panels for general consumer research, reducing live-interviewer programs to specialized contexts (low-literacy respondents, complex probing topics, health surveys requiring clinical precision), and outsourcing CATI operations to lower-cost markets. The commercial telephone-survey interviewing segment contracted noticeably through this period.

    Effect on the work

    The collapse of telephone response rates put structural downward pressure on the survey interviewing segment of 43-4111 employment from the late 2000s onward. The healthcare admissions segment, less affected by response-rate dynamics, helped sustain overall occupation headcount through this period.

    Work toolChanging equipment
  • AI voice survey agents (Gallup AI pilot 2026; Miravoice; Qualtrics Experience Agents)

    In early 2026, Gallup published research describing its own pilot testing of AI-enabled telephone interviewing across more than half a million call attempts in seven languages and four continents. The system could probe, ask follow-up questions, and transcribe longer qualitative responses -- capabilities the prior generation of interactive voice response (IVR) technology lacked. Gallup's research found that many respondents evaluated the AI survey experience positively, and that AI may reduce social desirability bias on sensitive questions. Commercial platforms including Miravoice (automated phone surveys in 14 languages) and Qualtrics Experience Agents offer AI-driven interview automation as a commercial service as of 2025-26. For the survey interviewing segment of 43-4111, these tools represent a direct substitution threat: tasks that previously required a human to manage the conversation in real time are increasingly handled by voice AI at a fraction of the per-interview cost. The healthcare admissions segment faces a parallel development in Epic's Ask Emmie AI chatbot (2025), which handles routine pre-visit intake questions for patients with existing chart data, reducing the volume of human admissions calls for scheduled visits.

    AI audit toolsPattern detection
Projection cone · present → 2034

What credible sources project

Scrub the slider past now to anchor each scenario on the scrubber. The spread is the range of futures credible sources project for this role.

Employment outlook
Projected change in the number of people doing this work.
BLS OOH -- Information Clerks / Interviewers outlook 2024-34
2034
-3%
BLS Occupational Outlook Handbook projection for the broader Information Clerks group (which includes 43-4111 among related occupations such as eligibility interviewers). The OOH projects overall employment of information clerks to decline 3% from 2024 to 2034. This figure is less steep than the occupation-specific 43-4111 matrix projection (-11.6%) because the Information Clerks group includes eligibility interviewers, whose government-program caseloads are more insulated from AI disruption than commercial survey interviewing. Presented here as a conservative cross-check: the occupational-matrix figure (-11.6%) is more specific and should be weighted higher; the OOH figure reflects the broader category trend.
BLS National Employment Matrix 2024-34
2034
-11.6%
BLS Employment Projections 2024-34 national matrix. Projected employment declines from 164,300 (2024) to approximately 145,100 (2034), a reduction of roughly 19,200 positions. BLS methodology uses an industry-occupation matrix combined with labor productivity assumptions. The projected decline reflects continued AI and automation displacement in the telephone survey segment, EHR pre-registration automation reducing patient admissions interviewing volume, and the broader contraction of data-collection occupations as self-service and AI-assisted intake grows across sectors. The -11.6% is notably steeper than the all-occupations average of +3.1% for 2024-34, placing interviewers among the occupations with above-average projected contraction. BLS classifies this as "decline" in the employment outlook.
AI task exposure
Share of the role’s tasks that researchers estimate AI can do. This is a measure of task exposure, not a forecast of jobs lost.
Eloundou et al. -- "GPTs are GPTs" (2023/2024)
2028
61%
of tasks
GPT-4 task-by-task LLM exposure labeling on O*NET tasks for Interviewers, Except Eligibility and Loan. Interviewers score in the moderate-to-high range for LLM exposure: the dominant tasks -- asking scripted questions, recording responses, coding answers, verifying information -- are highly structured, text-based operations that LLMs can assist with or perform autonomously. Eloundou et al. found that approximately 80% of US workers have at least 10% of tasks affected, and occupations like interviewers whose core work is structured information elicitation and entry face substantial exposure from LLM-powered voice and chat interfaces. The 61% figure represents approximate task-exposure share estimated from the Eloundou methodology applied to the O*NET task profile for 43-4111: not a forecast of job loss but a measure of how much of the interviewer's day-to-day work sits within LLM capability. Sign is irrelevant (exposure, not employment change); rendered as a task-exposure strip in the UI.
Today, in this role

What's shifting in the work right now

The historical view above shows how this role has moved. This is the present-day detail: which AI tools are picking up which tasks, where the edge still is, and the natural directions this work can grow.

What's changing in your day

Three parts of your work where AI is already doing real lifting, and what stays yours.

AI is taking this onCode and compile structured interview responses into databases or survey platforms, applying skip-logic rules and category codes to open-ended text.

Code and compile structured interview responses into databases or survey platforms, applying skip-logic rules and category codes to open-ended text.[1],[6]

Where your edge is

Learn to configure thematic-analysis and auto-coding models within Qualtrics or Dovetail rather than manually applying codes to raw transcripts.

AI is taking this onConduct structured telephone or in-person interviews using CATI software, following a scripted questionnaire and capturing responses directly into a survey platform.

Conduct structured telephone or in-person interviews using CATI software, following a scripted questionnaire and capturing responses directly into a survey platform.[1],[7],[8]

Where your edge is

Shift from executing scripted calls to programming adaptive questionnaire logic and quality-reviewing AI-generated transcripts.

AI is taking this onContact and schedule respondents or patients by phone, email, or text, managing appointment logistics and follow-up reminders across a daily call list.

Contact and schedule respondents or patients by phone, email, or text, managing appointment logistics and follow-up reminders across a daily call list.[8],[1]

Where your edge is

Move from dialing lists to managing AI outreach queues: configure automated reminder sequences and exception-route calls that require a live voice.

Where this role is heading

Natural next steps for someone with your foundation: not exits, evolutions.

A direction you could grow

Market Research Analysts and Marketing Specialists

Survey interviewers already gather, code, and review data for research purposes. Stepping up to Market Research Analyst requires learning statistical methods and insight synthesis, but the data-collection foundation transfers directly. The shift moves the worker from executing research to designing and interpreting it.

What you'd add
  • · Descriptive and inferential statistics (t-test, regression)
  • · Survey design and sampling methodology
  • · Data visualization in Tableau or Power BI
  • · Qualtrics or SPSS for quantitative analysis
  • · Business writing for research reports and presentations
What it takesSome new skills to pick up
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The data behind this timeline

On record since1935
Latest tracked employment157,310 (US, 2024)
Latest median pay$43,830 (2024)
Outlook-11.6% by 2034 (BLS National Employment Matrix 2024-34)
View all 26 cited data points
YearUS employmentMedian annual paySource
194010,000n/aESTIMATE
196045,000$3,900ESTIMATE
197580,000n/aESTIMATE
2000210,000$24,200BLS-OEWS
2003190,160$22,590BLS-OEWS
2004193,780$23,670BLS-OEWS
2005201,790$25,110BLS-OEWS
2006211,500$26,290BLS-OEWS
2007227,220$27,320BLS-OEWS
2008224,690$28,140BLS-OEWS
2009215,930$28,660BLS-OEWS
2010204,730$28,820BLS-OEWS
2011200,150$29,560BLS-OEWS
2012196,660$29,910BLS-OEWS
2013192,360$30,270BLS-OEWS
2014190,710$30,790BLS-OEWS
2015184,050$31,410BLS-OEWS
2016186,030$32,150BLS-OEWS
2017189,600$33,110BLS-OEWS
2018192,820$34,060BLS-OEWS
2019188,570$34,970BLS-OEWS
2020173,800$36,170BLS-OEWS
2021169,840$37,220BLS-OEWS
2022168,680$38,700BLS-OEWS
2023160,550$40,300BLS-OEWS
2024157,310$43,830BLS-OEWS
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