Baggage Porters and Bellhops
In short: today's best AI models could do about 8% 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 the same by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 92% of the time, stays with people.
Handle baggage for travelers at transportation terminals or for guests at hotels or similar establishments.
28,510 people do this job in the US. $37,080 a year.
A typical 40-hour week
Not yet reviewed task by task- AI could take on3 h
- A person checks AI's work0 h
- Desk work AI can't do yet0 h
- Stays with people37 h
Baggage Porters and Bellhops, now: of a 40-hour week, AI could take on 3 hours, 0 hours become checking its work, 0 hours are desk work it can't do yet, and 37 hours stay with people.
The largest pieces: Supply guests or travelers with directions, travel information, and other information, such as available services and points of interest (about 2 h); Compute and complete charge slips for services rendered and maintain records (under an hour); Complete baggage insurance forms (under an hour).
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.
- 8%
- 0%
- 92%
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, 5%. With Claude Mythos Preview (early), measured in April 2026, 8%. Today's estimate: 8%.
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, 0.011% went to this job's tasks in May 2026, the 355th largest of the 447 jobs that showed up at all; 1 of its 17 tasks showed up. Within each of Anthropic's methods, never across a change: 0.015% to 0.02% (released February and March 2025); 0.022% to 0.014% (August 2025 to February 2026); 0.011% to 0.011% (April to May 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.015% | 485 of 708 | 1 of 17 |
| Released March 2025 | 0.02% | 419 of 703 | 1 of 17 |
| The week of Aug 4, 2025 (released September 2025) | 0.022% | 353 of 655 | 1 of 17 |
| The week of Nov 13, 2025 (released January 2026) | 0.012% | 454 of 672 | 1 of 17 |
| The week of Feb 5, 2026 (released March 2026) | 0.014% | 449 of 677 | 1 of 17 |
| April 2026 (released June 2026) | 0.011% | 340 of 434 | 1 of 17 |
| May 2026 (released June 2026) | 0.011% | 355 of 447 | 1 of 17 |
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 81% of this job's working time as physical work. For 59% of the working time, a robot has been shown doing most of the task somewhere: 35% in a purpose-built cell, 24% in a structured facility. 0.84 of 3, the 210th highest of the 923 jobs.
- Not physical 19%
- No robot shown 22%
- In a purpose-built cell 35%
- In a structured facility 24%
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 . 17 tasks from .
| Task | Kind | |||
|---|---|---|---|---|
| Maintain clean lobbies or entrance areas for travelers or guests.Done daily by most who do it. Robots: no robot shown. Anthropic's rating. | 18% | 25 min8 min to 50 min | Stays with people | |
| Act as part of the security team at transportation terminals, hotels, or similar establishments.Done daily by most who do it.Robots: in a structured facility, Knightscope K5 Autonomous Security Robot (Knightscope, Inc.) (deployed). Anthropic's rating. | 15% | 50 min17 min to 1.7 h | Stays with people | |
| Transport guests about premises and local areas, or arrange for transportation.Done daily by most who do it. Robots: in a structured facility, LG CLOi GuideBot (deployed). Anthropic's rating. | 13% | 17 min8 min to 38 min | Stays with people | |
| Transfer luggage, trunks, and packages to and from rooms, loading areas, vehicles, or transportation terminals, by hand or using baggage carts.Done daily by most who do it. Robots: in a purpose-built cell, YOBOT (Yotel with ABB robot platform) (deployed). Anthropic's rating. | 11% | 13 min4 min to 25 min | Stays with people | |
| Greet incoming guests and escort them to their rooms.Done hourly or more by most who do it. Robots: in a purpose-built cell, Relay / Botlr (sold). Anthropic's rating. | 9% | 8 min4 min to 17 min | Stays with people | |
| Supply guests or travelers with directions, travel information, and other information, such as available services and points of interest.Done hourly or more by most who do it. AI observed on this task. | 6% | 6 min3 min to 13 min | 100%Half by now | |
| Explain the operation of room features, such as locks, ventilation systems, and televisions.Done daily by most who do it. | 5% | 8 min4 min to 17 min | Stays with people | |
| Set up conference rooms, display tables, racks, or shelves, and arrange merchandise displays for sales personnel.Done more than yearly by most who do it.Robots: no robot shown. Anthropic's rating. | 4% | 1.3 h25 min to 2.5 h | Stays with people | |
| Pick up and return items for laundry and valet service.Done daily by most who do it. Robots: in a structured facility, Relay / Relay 2 (Relay Robotics, formerly Savioke) (deployed). Anthropic's rating. | 4% | 8 min4 min to 17 min | Stays with people | |
| Receive and mark baggage by completing and attaching claim checks.Done daily by most who do it. Robots: no robot shown. Anthropic's rating. | 4% | 4 min2 min to 8 min | Stays with people | |
| Deliver messages and room service orders, and run errands for guests.Done daily by most who do it. Robots: in a structured facility, Relay (Savioke) robots 'Fetch' and 'Jett' (deployed). Anthropic's rating. | 3% | 13 min4 min to 25 min | Stays with people | |
| Assist travelers and guests with disabilities.Done daily by most who do it. Robots: no robot shown. Anthropic's rating. | 3% | 13 min4 min to 33 min | Stays with people |
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.
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 Baggage Porters and Bellhops is within reach of AI now?
- An estimated 8% of the working time is within reach of AI models now and 8% 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 Baggage Porters and Bellhops 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: Supply guests or travelers with directions, travel information, and other information, such as available services and points of interest (100% of the task's time now); Compute and complete charge slips for services rendered and maintain records (100% of the task's time now); and Complete baggage insurance forms (100% of the task's time now).
- Which tasks of Baggage Porters and Bellhops stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Maintain clean lobbies or entrance areas for travelers or guests; Act as part of the security team at transportation terminals, hotels, or similar establishments; and Transport guests about premises and local areas, or arrange for transportation. Together such tasks are about 92% of the working time.
- Do people already use AI for the work of Baggage Porters and Bellhops?
- In the Claude.ai conversations Anthropic sampled for May 2026 and tied to a work task, 0.011% went to this job's tasks, the 355th largest share of the 447 jobs that showed up; 1 of its 17 tasks appeared. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 7%. 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 Baggage Porters and Bellhops?
- Anthropic's robot exposure rating (September 2026) finds 81% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 59% of the working time, 24% in a structured facility. Its index is 0.84 of 3. One example: Knightscope K5 Autonomous Security Robot for "act as part of the security team at transportation terminals, hotels, or similar establishments". 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 17 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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