Skip to content
Singulariki

Gambling Dealers vs Amusement and Recreation Attendants

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

A factual, source-backed comparison of Gambling Dealers and Amusement and Recreation 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.”

Gambling Dealers Amusement and Recreation Attendants
Median pay · BLS OEWS
$33,280
$30,490
Employment · BLS OEWS
82,980
371,590
AI exposure (percentile) · task overlap, not automation
86th pct
86th pct

At a glance

Dimension Gambling Dealers Amusement and Recreation Attendants
Median pay $33,280 $30,490
Employment 82,980 371,590
Employment outlook (2024–34) · BLS projection Declining (-0.6%) About average (+3.4%)
Annual openings · BLS projection 14,100 102,400
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 · 86th pct High · 86th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 83rd pct · 45% of tasks 43rd pct · 24% of tasks
Observed AI use · Anthropic Economic Index — Augmentation-leaning (53.0%)
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, Mathematics, Oral Comprehension, Oral Expression, Speech Recognition, Speech Clarity, Active Listening, Speaking, Near Vision, English Language, Problem Sensitivity, Social Perceptiveness, Service Orientation, Deductive Reasoning, Information Ordering, Reading Comprehension, Monitoring, Selective Attention, Manual Dexterity, Coordination, Inductive Reasoning, Arm-Hand Steadiness, Far Vision, Administration and Management, Public Safety and Security, Mathematics, Critical Thinking, Trunk Strength, Sales and Marketing, Persuasion.

Specific to Gambling Dealers

  • Finger Dexterity
  • Mathematical Reasoning
  • Number Facility
  • Perceptual Speed
  • Law and Government
  • Category Flexibility
  • Speed of Closure
  • Flexibility of Closure

Specific to Amusement and Recreation Attendants

  • Written Comprehension
  • Computers and Electronics
  • Judgment and Decision Making
  • Time Management
  • Written Expression
  • Control Precision
  • Writing
  • Multilimb Coordination

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 .

Specific to Gambling Dealers

Specific to Amusement and Recreation Attendants

Full profiles

This page is a summary. See the complete source-backed profile for Gambling Dealers or Amusement and Recreation 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. "Gambling Dealers vs Amusement and Recreation 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/gambling-dealers-vs-amusement-and-recreation-attendants

APA

Singulariki. (2026). Gambling Dealers vs Amusement and Recreation Attendants. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/gambling-dealers-vs-amusement-and-recreation-attendants

BibTeX 
@misc{singulariki-gambling-dealers-vs-amusement-and-recreation-attendants,
  title  = {Gambling Dealers vs Amusement and Recreation 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/gambling-dealers-vs-amusement-and-recreation-attendants}
}

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