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Ushers, Lobby Attendants, and Ticket Takers vs Receptionists and Information 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 Receptionists and Information 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 Receptionists and Information Clerks
Median pay · BLS OEWS
$31,150
$37,230
Employment · BLS OEWS
119,210
964,530
AI exposure (percentile) · task overlap, not automation
74th pct
78th pct

At a glance

Dimension Ushers, Lobby Attendants, and Ticket Takers Receptionists and Information Clerks
Median pay $31,150 $37,230
Employment 119,210 964,530
Employment outlook (2024–34) · BLS projection About average (+1.2%) About average (0.0%)
Annual openings · BLS projection 30,800 128,500
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 · 78th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 55th pct · 29% of tasks 95th pct · 57% of tasks
Observed AI use · Anthropic Economic Index — Automation-leaning (55.1%)
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, Communications and Media, Coordination, Problem Sensitivity, Speech Recognition, Persuasion, Written Comprehension, Deductive Reasoning, Selective Attention, Reading Comprehension, Critical Thinking, Monitoring, Inductive Reasoning, Information Ordering, Far Vision, Administration and Management, Active Learning, Perceptual Speed, Complex Problem Solving, Time Management, Category Flexibility, Time Sharing, Computers and Electronics.

Specific to Ushers, Lobby Attendants, and Ticket Takers

  • Sales and Marketing
  • Negotiation
  • Trunk Strength
  • Flexibility of Closure
  • Manual Dexterity
  • Finger Dexterity
  • Visual Color Discrimination

Specific to Receptionists and Information Clerks

  • Administrative
  • Written Expression
  • Writing
  • Mathematics
  • Telecommunications
  • Instructing
  • Personnel and Human Resources

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 , Operating system software .

Specific to Ushers, Lobby Attendants, and Ticket Takers

Specific to Receptionists and Information Clerks

Full profiles

This page is a summary. See the complete source-backed profile for Ushers, Lobby Attendants, and Ticket Takers or Receptionists and Information 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 Receptionists and Information 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-receptionists-and-information-clerks

APA

Singulariki. (2026). Ushers, Lobby Attendants, and Ticket Takers vs Receptionists and Information Clerks. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/ushers-lobby-attendants-and-ticket-takers-vs-receptionists-and-information-clerks

BibTeX 
@misc{singulariki-ushers-lobby-attendants-and-ticket-takers-vs-receptionists-and-information-clerks,
  title  = {Ushers, Lobby Attendants, and Ticket Takers vs Receptionists and Information 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-receptionists-and-information-clerks}
}

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