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Loan Officers vs Insurance Underwriters

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

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

Loan Officers Insurance Underwriters
Median pay · BLS OEWS
$74,180
$79,880
Employment · BLS OEWS
290,530
107,820
AI exposure (percentile) · task overlap, not automation
79th pct
55th pct

At a glance

Dimension Loan Officers Insurance Underwriters
Median pay $74,180 $79,880
Employment 290,530 107,820
Employment outlook (2024–34) · BLS projection About average (+1.7%) Declining (-2.6%)
Annual openings · BLS projection 20,300 8,200
Typical education · O*NET Most of these occupations require a four-year bachelor's degree, but some do not. Most of these occupations require a four-year bachelor's degree, but some do not.
AI exposure · published exposure studies High · 79th pct Moderate · 55th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 98th pct · 61% of tasks 90th pct · 53% of tasks
Observed AI use · Anthropic Economic Index Augmentation-leaning (63.6%) Automation-leaning (44.7%)
Mostly remote-capable · Dingel–Neiman No Yes

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

Specific to Loan Officers

  • Economics and Accounting
  • Law and Government
  • Number Facility
  • Administration and Management

Specific to Insurance Underwriters

  • Flexibility of Closure
  • Administrative
  • Originality
  • Learning Strategies

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 , Data base user interface and query software , Presentation software , Word processing software , Enterprise resource planning ERP software , Financial analysis software , Information retrieval or search software , Document management software .

Full profiles

This page is a summary. See the complete source-backed profile for Loan Officers or Insurance Underwriters — 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. "Loan Officers vs Insurance Underwriters." 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/loan-officers-vs-insurance-underwriters

APA

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

BibTeX
@misc{singulariki-loan-officers-vs-insurance-underwriters,
  title  = {Loan Officers vs Insurance Underwriters},
  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/loan-officers-vs-insurance-underwriters}
}

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