Often handed to AI
Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.
- Answer inquiries pertaining to hotel policies and services, and resolve occupants' complaints. · 0.6%
Lodging Managers
Occupation · SOC 11-9081.00
Plan, direct, or coordinate activities of an organization or department that provides lodging and other accommodations.
Also called: Front Desk Manager · Front Office Manager · Hotel Manager · Resort Manager · Bed and Breakfast Innkeeper · Front Office Director · Guest Relations Manager · Guest Services Manager · Night Manager · Rooms Director · Accommodations General Manager · Accommodations Manager
Job family: Management Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-11-9081-00/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.
Use as a copilot
Task areas where people work with AI — iterating, learning, or checking — staying in the loop rather than handing the task off.
- Develop and implement policies and procedures for the operation of a department or establishment. · 1.5%
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.
- Answer inquiries pertaining to hotel policies and services, and resolve occupants' complaints. · 100.0% need a human
- Develop and implement policies and procedures for the operation of a department or establishment. · 90.1% 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 (+3.4% by 2034)
- 5,400 openings/yr
- Moderate AI exposure
- Observed AI use leans augmentation
- Median pay $68,130/yr
- Work is mostly on-site (not teleworkable)
- A reversal from 2013 — rated low automation risk then (2nd), high AI task-overlap now (64th)
64th-percentile task overlap — yet about 5,400 openings a year (+3.4% projected, BLS), and observed AI use leans 4660% 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.) Moderate | 58th | 0.4 | |
| LLM task exposure, γ (OpenAI / Eloundou) High | 74th | 0.9 | |
| AI assistant applicability (Microsoft) Moderate | 63rd | 0.2 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.5), and including AI-powered software (γ 0.9). 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 0.0 · 2nd 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.
| Develop and implement policies and procedures for the operation of a department or establishment. | 0.3% | |
| Answer inquiries pertaining to hotel policies and services, and resolve occupants' complaints. | 0.2% | |
| Meet with clients to schedule and plan details of conventions, banquets, receptions and other functions. | 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 · +3.4% by 2034 |
| Projected annual openings | 5,400 |
| Employment 2024 → 2034 | 52,000 → 53,800 |
“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.
Lodging Managers sits at the 71st 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.
37% mean task exposure (2025)
71st percentile of 427 placed occupations
−2 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Hotel Managers · 1411 | 37% | Gradient 1 |
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 | 46.6% working with AI · 37.4% handed to AI |
| Most common way people use AI here | Iteration · you and AI go back and forth |
| Typical AI autonomy | 3.5 / 5 · higher = AI acts more independently |
| Used for work (vs. personal / coursework) | 72.8% |
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 |
|---|---|---|
| Develop and implement policies and procedures for the operation of a department or establishment. | Iteration | 1.5% |
| Answer inquiries pertaining to hotel policies and services, and resolve occupants' complaints. | Directive | 0.6% |
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.
| Answer inquiries pertaining to hotel policies and services, and resolve occupants' complaints. | 100.0% | |
| Develop and implement policies and procedures for the operation of a department or establishment. | 90.1% |
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 develop and implement policies and procedures for the operation of a department or establishment.From: Develop and implement policies and procedures for the operation of a department or establishment. · 1.5% of measured AI use · task iteration
-
Help me answer inquiries pertaining to hotel policies and services, and resolve occupants' complaints.From: Answer inquiries pertaining to hotel policies and services, and resolve occupants' complaints. · 0.6% of measured AI use · directive
Tasks
All 24 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Answer inquiries pertaining to hotel policies and services, and resolve occupants' complaints. Core · importance 4.5
- Participate in financial activities, such as the setting of room rates, the establishment of budgets, and the allocation of funds to departments. Core · importance 4.5
- Confer and cooperate with other managers to ensure coordination of hotel activities. Core · importance 4.5
- Greet and register guests. Core · importance 4.5
- Monitor the revenue activity of the hotel or facility. Core · importance 4.5
- Meet with clients to schedule and plan details of conventions, banquets, receptions and other functions. Supplemental · importance 4.4
- Manage and maintain temporary or permanent lodging facilities. Core · importance 4.4
- Train staff members. Core · importance 4.4
- Observe and monitor staff performance to ensure efficient operations and adherence to facility's policies and procedures. Core · importance 4.4
- Coordinate front-office activities of hotels or motels, and resolve problems. Core · importance 4.4
- Inspect guest rooms, public areas, and grounds for cleanliness and appearance. Core · importance 4.3
- Assign duties to workers, and schedule shifts. Core · importance 4.2
- Receive and process advance registration payments, mail letters of confirmation, or return checks when registrations cannot be accepted. Core · importance 4.2
- Interview and hire applicants. Core · importance 4.1
- Purchase supplies, and arrange for outside services, such as deliveries, laundry, maintenance and repair, and trash collection. Core · importance 4.1
- Collect payments and record data pertaining to funds and expenditures. Core · importance 4.1
- Develop and implement policies and procedures for the operation of a department or establishment. Core · importance 4.0
- Prepare required paperwork pertaining to departmental functions. Core · importance 4.0
- Show, rent, or assign accommodations. Core · importance 4.0
- Perform marketing and public relations activities. Core · importance 4.0
- Organize and coordinate the work of staff and convention personnel for meetings to be held at a particular facility. Core · importance 3.9
- Provide assistance to staff members by inspecting rooms, setting tables, or doing laundry. Core · importance 3.8
- Arrange telephone answering services, deliver mail and packages, or answer questions regarding locations for eating and entertainment. Core · importance 3.5
- Book tickets for guests for local tours and attractions. Supplemental · importance 2.7
Work activities
- Provide basic information to guests, visitors, or clients.
- Resolve customer complaints or problems.
- Prepare staff schedules or work assignments.
- Direct administrative or support services.
- Manage organizational or project budgets.
- Confer with organizational members to accomplish work activities.
- Monitor facilities or operational systems.
- Monitor performance of organizational members or partners.
- Monitor activities of individuals to ensure safety or compliance with rules.
- Evaluate employee performance.
- Conduct employee training programs.
- Guide patrons on tours.
- Assign resources or facilities to patrons or employees.
- Implement organizational process or policy changes.
- Develop organizational policies or programs.
- Develop operating strategies, plans, or procedures.
- Inspect condition or functioning of facilities or equipment.
- Document organizational or operational procedures.
- Interview employees, customers, or others to collect information.
- Hire personnel.
- Schedule product or material transportation.
- Purchase materials, equipment, or other resources.
- Promote products, services, or programs.
- Manage guest services.
- Collect payments for goods or services.
- Coordinate operational activities with external stakeholders.
- Perform manual service or maintenance tasks.
- Monitor flow of cash or other resources.
- Maintain operational records.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Knowledge
Essential skills
| Active Listening | 4.1 | |
| Speaking | 4.0 | |
| Reading Comprehension | 3.9 | |
| Writing | 3.9 | |
| Critical Thinking | 3.8 | |
| Active Learning | 3.8 | |
| Monitoring | 3.8 |
Transferable skills
| Service Orientation | 4.1 | |
| Social Perceptiveness | 4.0 | |
| Management of Personnel Resources | 4.0 | |
| Coordination | 3.9 | |
| Negotiation | 3.9 | |
| Persuasion | 3.8 | |
| Instructing | 3.8 | |
| Complex Problem Solving | 3.8 | |
| Judgment and Decision Making | 3.8 | |
| Time Management | 3.8 |
Abilities
| Oral Expression | 4.1 | |
| Oral Comprehension | 4.0 | |
| Written Comprehension | 4.0 | |
| Written Expression | 4.0 | |
| Problem Sensitivity | 4.0 | |
| Speech Recognition | 4.0 | |
| Speech Clarity | 4.0 | |
| Information Ordering | 3.8 | |
| Fluency of Ideas | 3.6 | |
| Deductive Reasoning | 3.6 | |
| Inductive Reasoning | 3.6 |
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
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 4 — Job Zone Four: Considerable Preparation Needed
- Education
- Most of these occupations require a four-year bachelor's degree, but some do not.
- Typical entry-level education
- High school diploma or equivalent · BLS, the typical path — not a requirement
- Related experience
- A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
- Preparation level
- SVP (7.0 to < 8.0) — total schooling plus on-the-job experience.
What to study: Business, Management, Marketing, and Related Support 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.
| Bachelor's Degree | 71.6% | |
| Some College Courses | 5.9% | |
| Associate's Degree (or other 2-year degree) | 3.0% | |
| High School Diploma | 1.1% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Interest areas
| Management/Administration | 6.5 | |
| Personal Service | 5.8 | |
| Business Initiatives | 4.6 | |
| Human Resources | 4.1 | |
| Sales | 3.9 | |
| Accounting | 3.6 | |
| Office Work | 3.6 | |
| Finance | 3.3 | |
| Public Speaking | 2.9 |
Career interests (Holland / RIASEC)
| Enterprising | 6.2 | |
| Conventional | 5.2 | |
| Social | 4.3 |
Work styles
| Dependability | 6.0 | |
| Integrity | 5.0 | |
| Cooperation | 4.0 | |
| Social Orientation | 3.0 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $39,490 |
| 25th percentile | $50,040 |
| Median (50th) | $68,130 |
| 75th percentile | $90,670 |
| 90th percentile | $126,990 |
| People employed | 41,350 |
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 |
|---|---|---|
| Accommodation and Food Services · Sector | 37,630 | $66,240 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 830 | $82,570 |
| Management of Companies and Enterprises · Sector | 740 | $120,930 |
| Casino Hotels · National industry | 630 | $80,770 |
| Arts, Entertainment, and Recreation · Sector | 610 | $77,390 |
| Educational Services · Sector | 220 | $68,280 |
| Other Services (except Public Administration) · Sector | 220 | $72,780 |
| Health Care and Social Assistance · Sector | 120 | $78,000 |
| Transportation and Warehousing · Sector | 80 | $141,500 |
| Temporary Help Services · National industry | 60 | $60,990 |
| Construction · Sector | 40 | $68,680 |
| Real Estate and Rental and Leasing · Sector | — | $64,880 |
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 |
|---|---|---|
| Accommodation and Food Services · Sector | 9.86× | 37,630 |
| Casino Hotels · National industry | 6.97× | 630 |
| Management of Companies and Enterprises · Sector | 0.98× | 740 |
| Arts, Entertainment, and Recreation · Sector | 0.86× | 610 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 0.34× | 830 |
| Other Services (except Public Administration) · Sector | 0.19× | 220 |
| Educational Services · Sector | 0.06× | 220 |
| Health Care and Social Assistance · Sector | 0.02× | 120 |
Related occupations
Part of the Hospitality, Events, & Tourism career cluster.
- Hotel, Motel, and Resort Desk Clerks · 43-4081.00 Compare →
- Concierges · 39-6012.00 Compare →
- Property, Real Estate, and Community Association Managers · 11-9141.00 Compare →
- Facilities Managers · 11-3013.00 Compare →
- Spa Managers · 11-9179.02 Compare →
- First-Line Supervisors of Personal Service Workers · 39-1022.00 Compare →
- Entertainment and Recreation Managers, Except Gambling · 11-9072.00 Compare →
- General and Operations Managers · 11-1021.00 Compare →
- Administrative Services Managers · 11-3012.00 Compare →
- Meeting, Convention, and Event Planners · 13-1121.00 Compare →
- Locker Room, Coatroom, and Dressing Room Attendants · 39-3093.00 Compare →
- First-Line Supervisors of Housekeeping and Janitorial Workers · 37-1011.00 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 Lodging Managers — 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 4 — Job Zone Four: Considerable Preparation Needed · preparation tier
- Business, Management, Marketing, and Related Support Services · field of study
Zoom out
On the global GenAI exposure gradient this work sits around the 71st percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Lodging Managers show 64th-percentile AI task overlap — and about 5,400 annual U.S. openings
- Lodging Managers rank in the 64th percentile (Moderate 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 5,400 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 (+3.4%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $68,130, across about 41,350 U.S. workers.BLS OEWS (May 2024)
- Of the AI use actually observed for this work, 47% 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
Lodging Managers show 64th-percentile AI task overlap — and about 5,400 annual U.S. openings • Lodging Managers rank in the 64th percentile (Moderate 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 5,400 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 (+3.4%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $68,130, across about 41,350 U.S. workers. (BLS OEWS (May 2024)) • Of the AI use actually observed for this work, 47% 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 — "Lodging Managers". https://singulariki.com/roles/role-11-9081-00 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. "Lodging Managers." 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-11-9081-00
APA
Singulariki. (2026). Lodging Managers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-11-9081-00
BibTeX
@misc{singulariki-role-11-9081-00,
title = {Lodging Managers},
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-11-9081-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.