First-Line Supervisors of Non-Retail Sales Workers vs First-Line Supervisors of Retail Sales Workers
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of First-Line Supervisors of Non-Retail Sales Workers and First-Line Supervisors of Retail Sales Workers 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.”
At a glance
| Dimension | First-Line Supervisors of Non-Retail Sales Workers | First-Line Supervisors of Retail Sales Workers |
|---|---|---|
| Median pay | $84,130 | $47,320 |
| Employment | 219,010 | 1,113,160 |
| Employment outlook (2024–34) · BLS projection | About average (0.0%) | Declining (-5.0%) |
| Annual openings · BLS projection | 24,800 | 125,100 |
| Typical education · O*NET | Most of these occupations require a four-year bachelor's degree, but some do not. | Usually requires a high school diploma or GED, though some occupations may not. |
| AI exposure · published exposure studies | Moderate · 59th pct | Moderate · 42nd pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | 88th pct · 49% of tasks | 67th pct · 36% of tasks |
| Observed AI use · Anthropic Economic Index | Augmentation-leaning (52.5%) | Augmentation-leaning (45.1%) |
| 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: Customer and Personal Service, Active Listening, Speaking, Monitoring, Management of Personnel Resources, Oral Comprehension, Oral Expression, Speech Recognition, Administration and Management, Social Perceptiveness, Coordination, Judgment and Decision Making, Time Management, Speech Clarity, English Language, Persuasion, Written Comprehension, Deductive Reasoning, Reading Comprehension, Writing, Critical Thinking, Negotiation, Complex Problem Solving, Information Ordering, Near Vision, Personnel and Human Resources, Active Learning, Written Expression, Problem Sensitivity, Economics and Accounting, Sales and Marketing, Learning Strategies, Instructing, Service Orientation, Systems Analysis, Systems Evaluation.
Specific to First-Line Supervisors of Non-Retail Sales Workers
- Inductive Reasoning
- Fluency of Ideas
- Category Flexibility
- Mathematical Reasoning
Specific to First-Line Supervisors of Retail Sales Workers
- Education and Training
- Computers and Electronics
- Mathematics
- Administrative
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 , Customer relationship management CRM software , Data base user interface and query software , Project management software , Word processing software , Enterprise resource planning ERP software , Process mapping and design software , Graphics or photo imaging software , Internet browser software , Video creation and editing software .
Specific to First-Line Supervisors of Non-Retail Sales Workers
Specific to First-Line Supervisors of Retail Sales Workers
Full profiles
This page is a summary. See the complete source-backed profile for First-Line Supervisors of Non-Retail Sales Workers or First-Line Supervisors of Retail Sales Workers — 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.
- First-Line Supervisors of Non-Retail Sales Workers vs First-Line Supervisors of Office and Administrative Support Workers
- First-Line Supervisors of Non-Retail Sales Workers vs First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling Services
- First-Line Supervisors of Non-Retail Sales Workers vs First-Line Supervisors of Mechanics, Installers, and Repairers
- First-Line Supervisors of Non-Retail Sales Workers vs First-Line Supervisors of Passenger Attendants
- First-Line Supervisors of Non-Retail Sales Workers vs First-Line Supervisors of Production and Operating Workers
- First-Line Supervisors of Non-Retail Sales Workers vs First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand
- First-Line Supervisors of Non-Retail Sales Workers vs First-Line Supervisors of Material-Moving Machine and Vehicle Operators
- First-Line Supervisors of Non-Retail Sales Workers vs First-Line Supervisors of Personal Service Workers
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.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "First-Line Supervisors of Non-Retail Sales Workers vs First-Line Supervisors of Retail Sales Workers." 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/first-line-supervisors-of-non-retail-sales-workers-vs-first-line-supervisors-of-retail-sales-workers
Singulariki. (2026). First-Line Supervisors of Non-Retail Sales Workers vs First-Line Supervisors of Retail Sales Workers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/first-line-supervisors-of-non-retail-sales-workers-vs-first-line-supervisors-of-retail-sales-workers
@misc{singulariki-first-line-supervisors-of-non-retail-sales-workers-vs-first-line-supervisors-of-retail-sales-workers,
title = {First-Line Supervisors of Non-Retail Sales Workers vs First-Line Supervisors of Retail Sales Workers},
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/first-line-supervisors-of-non-retail-sales-workers-vs-first-line-supervisors-of-retail-sales-workers}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.