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Tellers vs Loan Interviewers and Clerks

Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index

A factual, source-backed comparison of Tellers and Loan Interviewers and Clerks on the dimensions both occupations carry. Every figure is a position within an independent published dataset — not a verdict on which job is better, safer, or more “future-proof.”

Tellers Loan Interviewers and Clerks
Median pay · BLS OEWS
$39,340
$48,950
Employment · BLS OEWS
339,340
173,100
AI exposure (percentile) · task overlap, not automation
80th pct
85th pct

At a glance

Dimension Tellers Loan Interviewers and Clerks
Median pay $39,340 $48,950
Employment 339,340 173,100
Employment outlook (2024–34) · BLS projection Declining (-12.9%) Declining (-2.3%)
Annual openings · BLS projection 29,800 13,300
Typical education · O*NET Usually requires a high school diploma or GED, though some occupations may not. Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
AI exposure · published exposure studies High · 80th pct High · 85th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 96th pct · 58% of tasks 99th pct · 64% of tasks
Observed AI use · Anthropic Economic Index Automation-leaning (50.0%) Automation-leaning (23.5%)
Mostly remote-capable · Dingel–Neiman No No

Pay and employment are BLS OEWS estimates; outlook and openings are BLS 2024–2034 projections; AI exposure and observed-use figures come from separate research and reflect exposure and usage, not predictions that either job will disappear. Compare like with like.

Skills

Shared: Oral Comprehension, Customer and Personal Service, Oral Expression, Number Facility, Speech Recognition, Speech Clarity, English Language, Problem Sensitivity, Information Ordering, Active Listening, Near Vision, Mathematics, Speaking, Written Comprehension, Written Expression, Selective Attention, Reading Comprehension, Critical Thinking, Monitoring, Social Perceptiveness, Service Orientation, Deductive Reasoning, Mathematical Reasoning, Writing, Mathematics, Time Management, Inductive Reasoning, Category Flexibility, Administration and Management, Active Learning, Coordination, Instructing, Complex Problem Solving, Judgment and Decision Making, Fluency of Ideas.

Specific to Tellers

  • Economics and Accounting
  • Public Safety and Security
  • Perceptual Speed
  • Flexibility of Closure
  • Time Sharing

Specific to Loan Interviewers and Clerks

  • Administrative
  • Computers and Electronics
  • Law and Government
  • Persuasion
  • Negotiation

Knowledge, skills & abilities O*NET rates as important for each occupation. “Shared” are common to both; the columns list what is distinctive to each (top by the order O*NET surfaces).

Tools & technology

Shared: Office suite software , Spreadsheet software , Electronic mail software , Presentation software , Operating system software , Word processing software , Accounting software , Data base user interface and query software .

Full profiles

This page is a summary. See the complete source-backed profile for Tellers or Loan Interviewers and Clerks — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.

More comparisons

Related occupations you can place side by side on the same sourced scale.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Tellers vs Loan Interviewers and Clerks." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/compare/tellers-vs-loan-interviewers-and-clerks

APA

Singulariki. (2026). Tellers vs Loan Interviewers and Clerks. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/tellers-vs-loan-interviewers-and-clerks

BibTeX
@misc{singulariki-tellers-vs-loan-interviewers-and-clerks,
  title  = {Tellers vs Loan Interviewers and Clerks},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/compare/tellers-vs-loan-interviewers-and-clerks}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.