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Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop vs Food Servers, Nonrestaurant

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

A factual, source-backed comparison of Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop and Food Servers, Nonrestaurant 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.”

Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop Food Servers, Nonrestaurant
Median pay · BLS OEWS
$30,380
$34,460
Employment · BLS OEWS
427,150
271,780
AI exposure (percentile) · task overlap, not automation
89th pct
37th pct

At a glance

Dimension Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop Food Servers, Nonrestaurant
Median pay $30,380 $34,460
Employment 427,150 271,780
Employment outlook (2024–34) · BLS projection Declining (-1.5%) About average (+3.0%)
Annual openings · BLS projection 107,700 48,000
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 · 89th pct Moderate · 37th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 37th pct · 21% of tasks 47th pct · 26% of tasks
Observed AI use · Anthropic Economic Index Augmentation-leaning (57.5%) —
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, Oral Comprehension, Oral Expression, English Language, Active Listening, Speech Recognition, Speaking, Service Orientation, Speech Clarity, Social Perceptiveness, Written Comprehension, Problem Sensitivity, Deductive Reasoning, Inductive Reasoning, Near Vision, Food Production, Reading Comprehension, Monitoring, Coordination, Information Ordering, Selective Attention, Trunk Strength, Far Vision, Critical Thinking, Time Management, Psychology, Computers and Electronics, Written Expression, Administration and Management, Public Safety and Security, Education and Training.

Specific to Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop

  • Time Sharing
  • Active Learning
  • Persuasion
  • Negotiation
  • Category Flexibility
  • Personnel and Human Resources
  • Foreign Language
  • Instructing

Specific to Food Servers, Nonrestaurant

  • Arm-Hand Steadiness
  • Manual Dexterity
  • Mathematics
  • Judgment and Decision Making
  • Static Strength
  • Extent Flexibility
  • Gross Body Coordination
  • Gross Body Equilibrium

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: Web page creation and editing software , Office suite software , Operating system software , Data base user interface and query software .

Specific to Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop

Specific to Food Servers, Nonrestaurant

Full profiles

This page is a summary. See the complete source-backed profile for Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop or Food Servers, Nonrestaurant — 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. "Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop vs Food Servers, Nonrestaurant." 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/hosts-and-hostesses-restaurant-lounge-and-coffee-shop-vs-food-servers-nonrestaurant

APA

Singulariki. (2026). Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop vs Food Servers, Nonrestaurant. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/hosts-and-hostesses-restaurant-lounge-and-coffee-shop-vs-food-servers-nonrestaurant

BibTeX 
@misc{singulariki-hosts-and-hostesses-restaurant-lounge-and-coffee-shop-vs-food-servers-nonrestaurant,
  title  = {Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop vs Food Servers, Nonrestaurant},
  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/hosts-and-hostesses-restaurant-lounge-and-coffee-shop-vs-food-servers-nonrestaurant}
}

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