Skip to content
Singulariki

Hotel, Motel, and Resort Desk Clerks vs Locker Room, Coatroom, and Dressing Room Attendants

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

A factual, source-backed comparison of Hotel, Motel, and Resort Desk Clerks and Locker Room, Coatroom, and Dressing Room Attendants 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.”

Hotel, Motel, and Resort Desk Clerks Locker Room, Coatroom, and Dressing Room Attendants
Median pay · BLS OEWS
$34,270
$34,800
Employment · BLS OEWS
261,430
14,960
AI exposure (percentile) · task overlap, not automation
76th pct
63rd pct

At a glance

Dimension Hotel, Motel, and Resort Desk Clerks Locker Room, Coatroom, and Dressing Room Attendants
Median pay $34,270 $34,800
Employment 261,430 14,960
Employment outlook (2024–34) · BLS projection About average (+3.7%) About average (+6.4%)
Annual openings · BLS projection 43,600 4,200
Typical education · O*NET Usually requires a high school diploma or GED, though some occupations may not. Usually requires a high school diploma or GED, though some occupations may not.
AI exposure · published exposure studies High · 76th pct Moderate · 63rd pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 89th pct · 51% of tasks 55th pct · 29% of tasks
Observed AI use · Anthropic Economic Index Augmentation-leaning (46.1%) Automation-leaning (42.1%)
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: Customer and Personal Service, English Language, Oral Comprehension, Oral Expression, Speaking, Social Perceptiveness, Public Safety and Security, Service Orientation, Active Listening, Speech Recognition, Speech Clarity, Problem Sensitivity, Near Vision, Administration and Management, Coordination, Mathematics, Reading Comprehension, Monitoring, Judgment and Decision Making, Time Management, Written Comprehension, Written Expression, Deductive Reasoning, Information Ordering, Writing, Critical Thinking, Persuasion, Negotiation, Inductive Reasoning, Selective Attention, Sales and Marketing.

Specific to Hotel, Motel, and Resort Desk Clerks

  • Administrative
  • Computers and Electronics
  • Complex Problem Solving
  • Management of Personnel Resources
  • Category Flexibility
  • Instructing
  • Fluency of Ideas
  • Originality

Specific to Locker Room, Coatroom, and Dressing Room Attendants

  • Trunk Strength
  • Extent Flexibility
  • Education and Training
  • Communications and Media
  • Active Learning
  • Arm-Hand Steadiness
  • Stamina
  • Far Vision

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 , Web page creation and editing software , Spreadsheet software , Word processing software .

Full profiles

This page is a summary. See the complete source-backed profile for Hotel, Motel, and Resort Desk Clerks or Locker Room, Coatroom, and Dressing Room Attendants — 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. "Hotel, Motel, and Resort Desk Clerks vs Locker Room, Coatroom, and Dressing Room Attendants." 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/hotel-motel-and-resort-desk-clerks-vs-locker-room-coatroom-and-dressing-room-attendants

APA

Singulariki. (2026). Hotel, Motel, and Resort Desk Clerks vs Locker Room, Coatroom, and Dressing Room Attendants. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/hotel-motel-and-resort-desk-clerks-vs-locker-room-coatroom-and-dressing-room-attendants

BibTeX
@misc{singulariki-hotel-motel-and-resort-desk-clerks-vs-locker-room-coatroom-and-dressing-room-attendants,
  title  = {Hotel, Motel, and Resort Desk Clerks vs Locker Room, Coatroom, and Dressing Room Attendants},
  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/hotel-motel-and-resort-desk-clerks-vs-locker-room-coatroom-and-dressing-room-attendants}
}

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