Lodging Managers
In short: today's best AI models could do about 50% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about 54% by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 46% of the time, stays with people.
Plan, direct, or coordinate activities of an organization or department that provides lodging and other accommodations.
42,620 people do this job in the US. $69,250 a year.
A typical 40-hour week
Not yet reviewed task by task- AI could take on20 h
- A person checks AI's work0 h
- Desk work AI can't do yet2 h
- Stays with people18 h
Lodging Managers, now: of a 40-hour week, AI could take on 20 hours, 0 hours become checking its work, 2 hours are desk work it can't do yet, and 18 hours stay with people.
The largest pieces: Develop and implement policies and procedures for the operation of a department or establishment (about 5 h); Perform marketing and public relations activities (about 3 h); Organize and coordinate the work of staff and convention personnel for meetings to be held at a particular facility (about 3 h).
Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 54%
- 15%
- 31%
of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.
On the chosen pace and reliability. Estimate.
Share of the working time within reach, now to 2030
Change assumptionsHide assumptionsLong-run pace, four in five
What each choice means: , , , , . Every pace starts from .
At this date and pace, models finish tasks up to 2.4 work days long four times in five.
How far this has come
With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 0%. With Claude Mythos Preview (early), measured in April 2026, 21%. Today's estimate: 50%.
A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.
Measured use over time
Of the Claude.ai conversations Anthropic sampled and tied to a work task, 0.032% went to this job's tasks in May 2026, the 269th largest of the 447 jobs that showed up at all; 3 of its 24 tasks showed up. Within each of Anthropic's methods, never across a change: 0.028% to 0.0069% (released February and March 2025); 0.026% to 0.031% (August 2025 to February 2026); 0.023% to 0.032% (April to May 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.028% | 384 of 708 | 6 of 24 |
| Released March 2025 | 0.0069% | 547 of 703 | 3 of 24 |
| The week of Aug 4, 2025 (released September 2025) | 0.026% | 336 of 655 | 4 of 24 |
| The week of Nov 13, 2025 (released January 2026) | 0.028% | 330 of 672 | 5 of 24 |
| The week of Feb 5, 2026 (released March 2026) | 0.031% | 326 of 677 | 5 of 24 |
| April 2026 (released June 2026) | 0.023% | 311 of 434 | 2 of 24 |
| May 2026 (released June 2026) | 0.032% | 269 of 447 | 3 of 24 |
Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.
Robots and the physical work
Anthropic rates 8% of this job's working time as physical work. For 5% of the working time, a robot has been shown doing most of the task somewhere: 5% in a purpose-built cell. 0.05 of 3, the 575th highest of the 923 jobs.
- Not physical 92%
- No robot shown 2%
- In a purpose-built cell 5%
Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.
The tasks
Sorted by . 24 tasks from .
| Task | Kind | |||
|---|---|---|---|---|
| Develop and implement policies and procedures for the operation of a department or establishment.Done daily by most who do it. AI observed on this task. | 16% | 5 h1.7 h to 1.7 work days | 80%Half by now | |
| Observe and monitor staff performance to ensure efficient operations and adherence to facility's policies and procedures.Done daily by most who do it. | 13% | 1.3 h25 min to 2.5 h | Stays with people | |
| Manage and maintain temporary or permanent lodging facilities.Done daily by most who do it. | 8% | 3.3 h50 min to 1.7 work days | Stays with people | |
| Organize and coordinate the work of staff and convention personnel for meetings to be held at a particular facility.Done more than monthly by most who do it. | 8% | 3.3 h1.3 h to 1 work day | 95%Half by now | |
| Perform marketing and public relations activities.Done daily by most who do it. | 8% | 2.5 h50 min to 6.7 h | 96%Half by now | |
| Inspect guest rooms, public areas, and grounds for cleanliness and appearance.Done several times a day by most who do it. Robots: in a purpose-built cell, Porsche Leipzig automated paint defect detection system (robot-mounted scanning sensors + AI) (deployed). Anthropic's rating. | 5% | 1.3 h25 min to 3.3 h | Stays with people | |
| Confer and cooperate with other managers to ensure coordination of hotel activities.Done daily by most who do it. | 5% | 50 min25 min to 1.7 h | Stays with people | |
| Coordinate front-office activities of hotels or motels, and resolve problems.Done daily by most who do it. | 5% | 50 min25 min to 2.5 h | 100%Half by now | |
| Meet with clients to schedule and plan details of conventions, banquets, receptions and other functions.Done daily by most who do it. | 5% | 2.5 h50 min to 6.7 h | Stays with people | |
| Train staff members.Done daily by most who do it. | 4% | 1.7 h38 min to 3.3 h | Stays with people | |
| Participate in financial activities, such as the setting of room rates, the establishment of budgets, and the allocation of funds to departments.Done daily by most who do it. | 4% | 2.5 h50 min to 6.7 h | 96%Half by now | |
| Prepare required paperwork pertaining to departmental functions.Done daily by most who do it. | 3% | 50 min13 min to 3.3 h | 97%Half by now |
Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach.
Jobs that share skills with this one
From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.
- Hotel, Motel, and Resort Desk Clerks45% now, 45% by 2028
- Concierges41% now, 42% by 2028
- Property, Real Estate, and Community Association Managers41% now, 42% by 2028
- Facilities Managers39% now, 56% by 2028
- Spa Managers49% now, 55% by 2028
- First-Line Supervisors of Personal Service Workers31% now, 32% by 2028
Where this job works
The industry groups that employ the most of it (BLS, May 2025).
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025).
Questions about this job
- How much of the work of Lodging Managers is within reach of AI now?
- An estimated 50% of the working time is within reach of AI models now and 54% by the end of 2028, on METR's long-run pace at four in five. Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
- Which tasks of Lodging Managers come within reach first?
- Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Develop and implement policies and procedures for the operation of a department or establishment (80% of the task's time now, 100% by the end of 2028); Perform marketing and public relations activities (96% of the task's time now); and Organize and coordinate the work of staff and convention personnel for meetings to be held at a particular facility (95% of the task's time now, 100% by the end of 2028).
- Which tasks of Lodging Managers stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Observe and monitor staff performance to ensure efficient operations and adherence to facility's policies and procedures; Manage and maintain temporary or permanent lodging facilities; and Inspect guest rooms, public areas, and grounds for cleanliness and appearance. Together such tasks are about 46% of the working time.
- Do people already use AI for the work of Lodging Managers?
- In the Claude.ai conversations Anthropic sampled for May 2026 and tied to a work task, 0.032% went to this job's tasks, the 269th largest share of the 447 jobs that showed up; 3 of its 24 tasks appeared. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 12%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
- Can robots do the physical work of Lodging Managers?
- Anthropic's robot exposure rating (September 2026) finds 8% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 5% of the working time. Its index is 0.05 of 3. One example: Porsche Leipzig automated paint defect detection system (robot-mounted scanning sensors + AI) for "inspect guest rooms, public areas, and grounds for cleanliness and appearance". A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
- How is this estimated?
- From the 24 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, each classed as desk, people or body work, and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.
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