AI exposure by occupation, O*NET 39-6011.00

Will AI replace Baggage Porters and Bellhops?

Baggage Porters and Bellhops: AI does not yet handle any of the role's 17 tasks; the work mostly needs an efficient-tier model.

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Every task, scored

The 17 tasks O*NET 30.3 lists for Baggage Porters and Bellhops, from most to least exposed. None reaches 60, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Supply guests or travelers with directions, travel information, and other information, such as available services and points of interest. 40 Observed Standard 4.5
Receive and mark baggage by completing and attaching claim checks. 30 Estimated Efficient 4.5
Greet incoming guests and escort them to their rooms. 30 Estimated Efficient 4.5
Transport guests about premises and local areas, or arrange for transportation. 30 Estimated Efficient 4.5
Transfer luggage, trunks, and packages to and from rooms, loading areas, vehicles, or transportation terminals, by hand or using baggage carts. 30 Estimated Efficient 4.5
Explain the operation of room features, such as locks, ventilation systems, and televisions. 30 Estimated Efficient 4.5
Assist travelers and guests with disabilities. 30 Estimated Efficient 4.4
Deliver messages and room service orders, and run errands for guests. 30 Estimated Efficient 4.2
Act as part of the security team at transportation terminals, hotels, or similar establishments. 30 Estimated Efficient 4.2
Page guests in hotel lobbies, dining rooms, or other areas. 30 Estimated Efficient 3.8
Set up conference rooms, display tables, racks, or shelves, and arrange merchandise displays for sales personnel. 30 Estimated Efficient 3.7
Complete baggage insurance forms. 30 Estimated Efficient 3.5
Arrange for shipments of baggage, express mail, and parcels by providing weighing and billing services. 30 Estimated Efficient 3.3
Maintain clean lobbies or entrance areas for travelers or guests. 20 Estimated Efficient 4.5
Compute and complete charge slips for services rendered and maintain records. 20 Estimated Efficient 3.9
Inspect guests' rooms to ensure that they are adequately stocked, orderly, and comfortable. 20 Estimated Efficient 3.6
Pick up and return items for laundry and valet service. 12 Estimated No tier 4.1

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 1 of 17 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 16 of 17. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

An efficient-tier model or lower covers 88% of the role's importance-weighted task work. 94% of the work is something AI can address at some tier, and 6% is hands-on.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
28,510
Median annual wage
$37,080
Middle half of earners
$31,200 to $44,130
Projected change, 2024 to 2034
-1.6%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Baggage Porters and Bellhops and AI

Will AI replace Baggage Porters and Bellhops?

Not on current evidence. None of the 17 tasks O*NET lists for this occupation reaches a task exposure of 60, the level at which JobRoute counts a task as handled by AI, and the role's importance-weighted exposure is 28 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears.

What is the AI exposure of Baggage Porters and Bellhops?

28 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 1 of the 17 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 16 are estimated from each task's O*NET work activity.

Which Baggage Porters and Bellhops tasks can AI already do?

None reaches 60 yet. The most exposed task is: Supply guests or travelers with directions, travel information, and other information, such as available services and points of interest, at 40 out of 100.

What AI model tier does this role need?

An efficient-tier model or lower covers 88% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Baggage Porters and Bellhops, and what do they earn?

28,510 people in the United States, with a median annual wage of $37,080 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of -1.6% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Baggage Porters and Bellhops. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/baggage-porters-and-bellhops

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