Skip to content
Singulariki

Ushers, Lobby Attendants, and Ticket Takers vs Hotel, Motel, and Resort Desk Clerks

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

A factual, source-backed comparison of Ushers, Lobby Attendants, and Ticket Takers and Hotel, Motel, and Resort Desk 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.”

Ushers, Lobby Attendants, and Ticket Takers Hotel, Motel, and Resort Desk Clerks
Median pay · BLS OEWS
$31,150
$34,270
Employment · BLS OEWS
119,210
261,430
AI exposure (percentile) · task overlap, not automation
74th pct
76th pct

At a glance

Dimension Ushers, Lobby Attendants, and Ticket Takers Hotel, Motel, and Resort Desk Clerks
Median pay $31,150 $34,270
Employment 119,210 261,430
Employment outlook (2024–34) · BLS projection About average (+1.2%) About average (+3.7%)
Annual openings · BLS projection 30,800 43,600
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 · 74th pct High · 76th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 55th pct · 29% of tasks 89th pct · 51% of tasks
Observed AI use · Anthropic Economic Index — Augmentation-leaning (46.1%)
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, English Language, Social Perceptiveness, Speech Clarity, Speaking, Service Orientation, Oral Comprehension, Oral Expression, Public Safety and Security, Active Listening, Near Vision, Coordination, Problem Sensitivity, Speech Recognition, Sales and Marketing, Persuasion, Negotiation, Written Comprehension, Deductive Reasoning, Selective Attention, Reading Comprehension, Critical Thinking, Monitoring, Inductive Reasoning, Information Ordering, Administration and Management, Complex Problem Solving, Time Management, Category Flexibility, Computers and Electronics.

Specific to Ushers, Lobby Attendants, and Ticket Takers

  • Communications and Media
  • Far Vision
  • Active Learning
  • Perceptual Speed
  • Trunk Strength
  • Flexibility of Closure
  • Time Sharing
  • Manual Dexterity

Specific to Hotel, Motel, and Resort Desk Clerks

  • Administrative
  • Mathematics
  • Judgment and Decision Making
  • Management of Personnel Resources
  • Written Expression
  • Writing
  • Instructing
  • Fluency of Ideas

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 , Word processing software .

Specific to Ushers, Lobby Attendants, and Ticket Takers

Specific to Hotel, Motel, and Resort Desk Clerks

Full profiles

This page is a summary. See the complete source-backed profile for Ushers, Lobby Attendants, and Ticket Takers or Hotel, Motel, and Resort Desk 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. "Ushers, Lobby Attendants, and Ticket Takers vs Hotel, Motel, and Resort Desk 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/ushers-lobby-attendants-and-ticket-takers-vs-hotel-motel-and-resort-desk-clerks

APA

Singulariki. (2026). Ushers, Lobby Attendants, and Ticket Takers vs Hotel, Motel, and Resort Desk Clerks. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/ushers-lobby-attendants-and-ticket-takers-vs-hotel-motel-and-resort-desk-clerks

BibTeX 
@misc{singulariki-ushers-lobby-attendants-and-ticket-takers-vs-hotel-motel-and-resort-desk-clerks,
  title  = {Ushers, Lobby Attendants, and Ticket Takers vs Hotel, Motel, and Resort Desk 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/ushers-lobby-attendants-and-ticket-takers-vs-hotel-motel-and-resort-desk-clerks}
}

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