Often handed to AI
Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.
- Provide information about local features, such as shopping, dining, nightlife, or recreational destinations. · 5.5%
Concierges
Occupation · SOC 39-6012.00
Assist patrons at hotel, apartment, or office building with personal services. May take messages; arrange or give advice on transportation, business services, or entertainment; or monitor guest requests for housekeeping and maintenance.
Also called: Chef Concierge · Concierge · Guest Service Agent · Hotel Concierge · Activities Concierge · Club Concierge · Conference Concierge · Front Desk Agent · Lobby Concierge · Service Concierge · Concierge Security Officer · Event Concierge
Job family: Personal Care and Service Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-39-6012-00/context.md directly.
AI work map
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Keep a human in the loop
Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.
- Provide information about local features, such as shopping, dining, nightlife, or recreational destinations. · 100.0% need a human
- Provide business services for guests, such as sending or receiving faxes or shipping packages. · 100.0% need a human
Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Market signal
Independent published positions, read together — not a forecast.
- About average employment outlook (+2.3% by 2034)
- 6,800 openings/yr
- High AI exposure
- Observed AI use leans automation
- Median pay $37,320/yr
- Work is mostly on-site (not teleworkable)
- A reversal from 2013 — rated low automation risk then (33rd), high AI task-overlap now (78th)
78th-percentile task overlap — yet about 6,800 openings a year (+2.3% projected, BLS), and observed AI use leans 4035% copilot, not hand-off (AEI) . What exposure means →
AI & job outlook
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Exposure to current AI
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) High | 69th | 0.9 | |
| LLM task exposure, γ (OpenAI / Eloundou) Moderate | 65th | 0.8 | |
| AI assistant applicability (Microsoft) High | 98th | 0.4 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.5), and including AI-powered software (γ 0.8). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.
Historical automation estimate (2013)
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 0.2 · 33rd percentile among occupations · Low
How AI is actually used in this job
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Provide information about local features, such as shopping, dining, nightlife, or recreational destinations. | 4.4% | |
| Make travel arrangements for sightseeing or other tours. | 0.3% | |
| Make reservations for patrons, such as for dinner, spa treatments, or golf tee times, and obtain tickets to special events. | 0.2% |
Job outlook
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +2.3% by 2034 |
| Projected annual openings | 6,800 |
| Employment 2024 → 2034 | 45,600 → 46,700 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
Where this work sits on the global GenAI gradient
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
Concierges sits at the 89th percentile of 427
occupations on the global GenAI task-exposure gradient
— exposure eased from 2023 to 2025. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
51% mean task exposure (2025)
89th percentile of 427 placed occupations
−16 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Hotel Receptionists · 4224 | 51% | Gradient 3 |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
Working with AI in this job
How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.
| Augmentation vs. automation | 40.4% working with AI · 51.7% handed to AI |
| Most common way people use AI here | Directive · AI does it; you give the instruction |
| Typical AI autonomy | 3.0 / 5 · higher = AI acts more independently |
| Used for work (vs. personal / coursework) | 8.5% |
What people delegate to AI
The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.
| Task | How | Usage |
|---|---|---|
| Provide information about local features, such as shopping, dining, nightlife, or recreational destinations. | Directive | 5.5% |
| Provide business services for guests, such as sending or receiving faxes or shipping packages. | — | 0.3% |
Where a human is still needed
Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.
| Provide information about local features, such as shopping, dining, nightlife, or recreational destinations. | 100.0% | |
| Provide business services for guests, such as sending or receiving faxes or shipping packages. | 100.0% |
What people most often hand AI here
Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.
-
Help me provide information about local features, such as shopping, dining, nightlife, or recreational destinations.From: Provide information about local features, such as shopping, dining, nightlife, or recreational destinations. · 5.5% of measured AI use · directive
-
Help me provide business services for guests, such as sending or receiving faxes or shipping packages.From: Provide business services for guests, such as sending or receiving faxes or shipping packages. · 0.3% of measured AI use
Tasks
All 16 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Provide information about local features, such as shopping, dining, nightlife, or recreational destinations. Core · importance 4.6
- Make reservations for patrons, such as for dinner, spa treatments, or golf tee times, and obtain tickets to special events. Core · importance 4.3
- Provide directions to guests. Core · importance 4.3
- Order flowers for guests. Core · importance 4.1
- Make travel arrangements for sightseeing or other tours. Core · importance 4.1
- Pick up and deliver items or run errands for guests. Core · importance 4.0
- Plan special events, parties, or meetings, which may include booking musicians or celebrities. Core · importance 3.9
- Arrange childcare services for guests. Core · importance 3.9
- Provide food and beverage services to guests. Supplemental · importance 3.8
- Carry out unusual requests, such as searching for hard-to-find items or arranging for exotic services, such as hot-air balloon rides. Core · importance 3.7
- Clean and tidy hotel lounge. Supplemental · importance 3.7
- Receive, store, or deliver luggage or mail. Core · importance 3.6
- Perform office duties on a temporary basis when needed. Core · importance 3.6
- Arrange for the replacement of items lost by travelers. Core · importance 3.4
- Provide business services for guests, such as sending or receiving faxes or shipping packages. Core · importance 3.4
- Arrange for interpreters or translators when patrons require such services. Core · importance 3.2
Work activities
- Arrange services or reservations for patrons.
- Provide patrons with directions to locales or attractions.
- Organize recreational activities or events.
- Clean facilities or work areas.
- Sell products or services.
- Arrange delivery of goods or services.
- Order materials, supplies, or equipment.
- Provide customer service to clients or users.
- Provide customers with general information or assistance.
- Assist individuals with special needs.
- Provide attraction or event information to patrons.
- Deliver items.
- Handle luggage or other possessions for patrons.
- Perform administrative or clerical tasks.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Knowledge
Abilities
| Oral Comprehension | 4.1 | |
| Oral Expression | 4.1 | |
| Speech Recognition | 3.9 | |
| Speech Clarity | 3.9 | |
| Problem Sensitivity | 3.5 | |
| Deductive Reasoning | 3.5 | |
| Information Ordering | 3.1 | |
| Written Comprehension | 3.0 | |
| Written Expression | 3.0 | |
| Fluency of Ideas | 3.0 | |
| Originality | 3.0 | |
| Inductive Reasoning | 3.0 | |
| Near Vision | 3.0 | |
| Category Flexibility | 2.9 | |
| Selective Attention | 2.9 | |
| Time Sharing | 2.8 |
Essential skills
| Active Listening | 4.0 | |
| Speaking | 4.0 | |
| Reading Comprehension | 3.0 | |
| Critical Thinking | 3.0 | |
| Monitoring | 3.0 | |
| Active Learning | 2.9 | |
| Writing | 2.8 |
Transferable skills
| Social Perceptiveness | 4.0 | |
| Service Orientation | 4.0 | |
| Coordination | 3.5 | |
| Persuasion | 3.0 | |
| Judgment and Decision Making | 3.0 | |
| Time Management | 3.0 | |
| Complex Problem Solving | 2.9 | |
| Negotiation | 2.8 |
Skills in demand
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Tools & technology
| Example | Category | |
|---|---|---|
| Microsoft Excel | Spreadsheet software | Hot technology In demand |
| Microsoft Office software | Office suite software | Hot technology In demand |
| Microsoft Outlook | Electronic mail software | Hot technology In demand |
| Microsoft PowerPoint | Presentation software | Hot technology |
| Microsoft Word | Word processing software | Hot technology |
| Yardi software | Data base user interface and query software | Hot technology |
| Billing software | Billing and invoicing software | |
| Budgeting software | Accounting software | |
| Delphi Technology | Financial analysis software | |
| Mapping software | Map creation software | |
| Microsoft Publisher | Desktop publishing software | |
| Web browser software | Internet browser software | |
| Work scheduling software | Calendar and scheduling software |
Work context
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
How to get in
- Job zone
- Zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed
- Education
- Usually requires a high school diploma or GED, though some occupations may not.
- Typical entry-level education
- High school diploma or equivalent · BLS, the typical path — not a requirement
- Related experience
- Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
- Preparation level
- SVP (Below 6.0) — total schooling plus on-the-job experience.
What to study: Culinary, Entertainment, and Personal Services . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Education of current workers
Share of people in this occupation at each level of education.
| High School Diploma | 45.5% | |
| Some College Courses | 27.3% | |
| Post-Secondary Certificate | 9.1% | |
| Bachelor's Degree | 9.1% | |
| Less than a High School Diploma | 4.5% | |
| Associate's Degree (or other 2-year degree) | 4.5% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Interest areas
| Personal Service | 6.9 | |
| Management/Administration | 2.5 | |
| Office Work | 2.4 | |
| Sales | 2.4 | |
| Professional Advising | 2.4 | |
| Social Service | 2.1 |
Work styles
| Dependability | 6.0 | |
| Cooperation | 5.0 | |
| Social Orientation | 4.0 | |
| Empathy | 3.0 | |
| Optimism | 2.5 |
Career interests (Holland / RIASEC)
| Social | 5.3 | |
| Enterprising | 4.7 | |
| Conventional | 4.2 | |
| Realistic | 2.7 | |
| Artistic | 2.3 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $30,770 |
| 25th percentile | $33,860 |
| Median (50th) | $37,320 |
| 75th percentile | $45,700 |
| 90th percentile | $58,050 |
| People employed | 44,200 |
Industries that employ this occupation
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Health Care and Social Assistance · Sector | 10,590 | $35,640 |
| Accommodation and Food Services · Sector | 9,480 | $39,470 |
| Real Estate and Rental and Leasing · Sector | 8,920 | $44,780 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 5,110 | $37,080 |
| Other Services (except Public Administration) · Sector | 4,840 | $35,710 |
| Temporary Help Services · National industry | 2,330 | $36,630 |
| Arts, Entertainment, and Recreation · Sector | 1,980 | $35,510 |
| Transportation and Warehousing · Sector | 1,220 | $34,330 |
| Casino Hotels · National industry | 720 | $41,540 |
| Information · Sector | 630 | $37,040 |
| Fitness and Recreational Sports Centers · National industry | 220 | $36,240 |
| Construction · Sector | 170 | $45,710 |
Where this work is most concentrated
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Real Estate and Rental and Leasing · Sector | 13.14× | 8,920 |
| Casino Hotels · National industry | 7.45× | 720 |
| Other Services (except Public Administration) · Sector | 3.81× | 4,840 |
| Temporary Help Services · National industry | 3.07× | 2,330 |
| Arts, Entertainment, and Recreation · Sector | 2.61× | 1,980 |
| Accommodation and Food Services · Sector | 2.32× | 9,480 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 1.97× | 5,110 |
| Health Care and Social Assistance · Sector | 1.6× | 10,590 |
Related occupations
Part of the Hospitality, Events, & Tourism career cluster.
- Hotel, Motel, and Resort Desk Clerks · 43-4081.00 Compare →
- Baggage Porters and Bellhops · 39-6011.00 Compare →
- Counter and Rental Clerks · 41-2021.00 Compare →
- Reservation and Transportation Ticket Agents and Travel Clerks · 43-4181.00 Compare →
- Locker Room, Coatroom, and Dressing Room Attendants · 39-3093.00 Compare →
- Passenger Attendants · 53-6061.00 Compare →
- Receptionists and Information Clerks · 43-4171.00 Compare →
- Lodging Managers · 11-9081.00 Compare →
- Ushers, Lobby Attendants, and Ticket Takers · 39-3031.00 Compare →
- Travel Agents · 41-3041.00 Compare →
- Parking Attendants · 53-6021.00 Compare →
- Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop · 35-9031.00 Compare →
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
What you can do with this
Options the data surfaces for Concierges — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Skills that travel
Capabilities this work builds that are used across many other occupations.
Adjacent roles
Occupations O*NET rates as related — the nearby moves on the map.
Paths in
How people typically prepare for this work.
- High school diploma or equivalent · typical entry level
- Job zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed · preparation tier
- Culinary, Entertainment, and Personal Services · field of study
Zoom out
On the global GenAI exposure gradient this work sits around the 89th percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Concierges show 78th-percentile AI task overlap — and about 6,800 annual U.S. openings
- Concierges rank in the 78th percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
- The occupation is projected to see about 6,800 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
- BLS projects employment to be about average (+2.3%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $37,320, across about 44,200 U.S. workers.BLS OEWS (May 2024)
- Of the AI use actually observed for this work, 40% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census.2026-01-15-v4-plus-2025-03-27-v2
Copy the whole kit
Concierges show 78th-percentile AI task overlap — and about 6,800 annual U.S. openings • Concierges rank in the 78th percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 6,800 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be about average (+2.3%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $37,320, across about 44,200 U.S. workers. (BLS OEWS (May 2024)) • Of the AI use actually observed for this work, 40% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census. (2026-01-15-v4-plus-2025-03-27-v2) Source: Singulariki — "Concierges". https://singulariki.com/roles/role-39-6012-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
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.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "Concierges." 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/roles/role-39-6012-00
APA
Singulariki. (2026). Concierges. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-39-6012-00
BibTeX
@misc{singulariki-role-39-6012-00,
title = {Concierges},
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/roles/role-39-6012-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.