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Insurance Underwriters vs Loan Interviewers and Clerks

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

A factual, source-backed comparison of Insurance Underwriters 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.”

Insurance Underwriters Loan Interviewers and Clerks
Median pay · BLS OEWS
$79,880
$48,950
Employment · BLS OEWS
107,820
173,100
AI exposure (percentile) · task overlap, not automation
55th pct
85th pct

At a glance

Dimension Insurance Underwriters Loan Interviewers and Clerks
Median pay $79,880 $48,950
Employment 107,820 173,100
Employment outlook (2024–34) · BLS projection Declining (-2.6%) Declining (-2.3%)
Annual openings · BLS projection 8,200 13,300
Typical education · O*NET Most of these occupations require a four-year bachelor's degree, but some do 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 Moderate · 55th pct High · 85th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 90th pct · 53% of tasks 99th pct · 64% of tasks
Observed AI use · Anthropic Economic Index Automation-leaning (44.7%) Automation-leaning (23.5%)
Mostly remote-capable · Dingel–Neiman Yes 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: English Language, Customer and Personal Service, Written Comprehension, Reading Comprehension, Active Listening, Writing, Critical Thinking, Written Expression, Inductive Reasoning, Speaking, Oral Expression, Judgment and Decision Making, Oral Comprehension, Deductive Reasoning, Problem Sensitivity, Speech Clarity, Mathematics, Category Flexibility, Near Vision, Speech Recognition, Active Learning, Complex Problem Solving, Information Ordering, Monitoring, Social Perceptiveness, Coordination, Service Orientation, Administrative, Mathematics, Persuasion, Time Management, Fluency of Ideas, Mathematical Reasoning, Selective Attention, Negotiation, Instructing.

Specific to Insurance Underwriters

  • Sales and Marketing
  • Flexibility of Closure
  • Originality
  • Learning Strategies

Specific to Loan Interviewers and Clerks

  • Computers and Electronics
  • Law and Government
  • Number Facility
  • Administration and Management

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: Spreadsheet software , Office suite software , Electronic mail software , Presentation software , Data base user interface and query software , Operating system software , Word processing software , Financial analysis software , Internet browser software .

Specific to Insurance Underwriters

Specific to Loan Interviewers and Clerks

Full profiles

This page is a summary. See the complete source-backed profile for Insurance Underwriters 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. "Insurance Underwriters 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/insurance-underwriters-vs-loan-interviewers-and-clerks

APA

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

BibTeX 
@misc{singulariki-insurance-underwriters-vs-loan-interviewers-and-clerks,
  title  = {Insurance Underwriters 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/insurance-underwriters-vs-loan-interviewers-and-clerks}
}

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