Will AI replace Baggage Porters and Bellhops?

Not as a job, but it is already doing parts of the work. Across the 17 official task statements scored for Baggage Porters and Bellhops (United States, SOC 39-6011), 6% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 12 out of 100 (range 10–17, band: minimal). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.

Which tasks in “Baggage Porters and Bellhops” stay human?

About 86% of this job's task weight sits in work that scores low for AI exposure. The lowest-scoring tasks in release 2026-q4.1 are: “Set up conference rooms, display tables, racks, or shelves, and arrange merchandise displays for sales personnel” (0/100, minimal); “Inspect guests' rooms to ensure that they are adequately stocked, orderly, and comfortable” (0/100, minimal); “Pick up and return items for laundry and valet service” (0/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.

What should someone working in “Baggage Porters and Bellhops” do about AI?

Start from the ledger rather than the headline: 6% of this job's weighted core work is exposed, and roughly 86% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.

How is the AI exposure score for Baggage Porters and Bellhops calculated?

Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 17 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.

US dataswitch to UK

Baggage Porters and Bellhops

receiving and marking baggage by completing and attaching claim checks, transferring luggage and explaining the operation of room features. If that's your week, this page is about your job.

The honest answer

AI changes the edges of this job, not the middle: transferring luggage, trunks and packages to and from rooms, loading areas, vehicles or transportation terminals is work software can't reach.

Your move: what you can actually do about this ↓

Where the work sits, by task weight

shifting to AI: 6%
changing shape: 8%
staying human: 86%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

Whole-job exposure score 12 out of 100 (10–17 allowing for uncertainty): minimal exposure, across 17 scored tasks. The number is the support for the sentence above it, not a headline about anyone’s future.

How we know this

What is measured: Every published task statement for baggage porters and bellhops is rated on five dimensions: can a model produce the output, does the work need a body in a room, does it need a legally accountable person, does it depend on a person being trusted in the moment, and how much data exists. A published formula turns those five ratings into the score; the model never writes the number.

How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.

Release: 2026-q4.1, scores computed 2026-08-05. Read the full method.

What shifts is computing and completing charge slips for services rendered and maintaining records. This page scores what today's tools actually do, not headlines.

Your week, as this page understands it

Handle baggage for travelers at transportation terminals or for guests at hotels or similar establishments. The job title says “baggage porters” or “bellhops”: officially one job, two names. The real job is the part underneath: transferring luggage, trunks and packages to and from rooms, loading areas, vehicles or transportation terminals. That is the thing someone has to be right about.

The exposed part of this job is specific, and we won’t pretend it is coming back. But baggage porters and bellhops is not one task. It is 17 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is transferring luggage, trunks and packages to and from rooms, loading areas, vehicles or transportation terminals, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 6%
changing shape: 8%
staying human: 86%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

How we know this

How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.

Release: 2026-q4.1, scores computed 2026-08-05. Read the full method.

Your job, task by task

These are the official task statements for this occupation, in plain English, sorted by what the evidence says is happening to each one. The official wording sits under every line so you can check the rewrite against it.

Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Shifting to AI

2 tasks

Tasks today’s tools can already do most of. This is the part we will not soften: where these rows are the bulk of your week, the week changes.

Computing and completing charge slips for services rendered and maintaining records
This is reading one thing and writing another: charge slips in, a record out. That is the shape today's tools are built for.
importance 4 · Supplemental
Source: “Compute and complete charge slips for services rendered and maintain records.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Working out charges and keeping the records is routine billing that software does reliably.
The five ratings: output a model can produce 4/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Completing baggage insurance forms
This is reading one thing and writing another: baggage insurance forms in, a record out. That is the shape today's tools are built for.
importance 4 · Supplemental
Source: “Complete baggage insurance forms.” (O*NET task statement)
How this row was scored
Exposure score: 88 out of 100 (84–92 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Filling in a standard insurance form from the claim details is straightforward paperwork software completes well.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.

Changing shape

1 task

Tasks where the machine takes the producing and a person keeps the checking, the deciding, or the answering-for-it. For most jobs this is the biggest group, and it is where "transformation, not termination" is literally visible.

Supplying guests or travelers with directions
The software now makes the first pass at guests, but part of it still happens in the physical world. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Supply guests or travelers with directions, travel information, and other information, such as available services and points of interest.” (O*NET task statement)
How this row was scored
Exposure score: 43 out of 100 (36–50 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Directions and local information are exactly what apps already provide, though guests still ask a person at the desk.
The five ratings: output a model can produce 4/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 4/4.

Staying human

14 tasks

Tasks that stay with a person, because they happen in the physical world, because the rules need someone accountable, or because the value is that a specific person does them.

Transferring luggage, trunks and packages to and from rooms, loading areas, vehicles or transportation terminals
This work happens in the physical world: luggage, trunks and packages, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Transfer luggage, trunks, and packages to and from rooms, loading areas, vehicles, or transportation terminals, by hand or using baggage carts.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Moving luggage by hand or cart is physical work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Greeting incoming guests and escorting them to their rooms
This work happens in the physical world: guests, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Greet incoming guests and escort them to their rooms.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Greeting and walking guests to their rooms is being there in person.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Receiving and marking baggage by completing and attaching claim checks
This work happens in the physical world: baggage, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Receive and mark baggage by completing and attaching claim checks.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Attaching claim checks to bags is physical handling.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Assisting travelers and guests with disabilities
This work happens in the physical world: travelers, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Assist travelers and guests with disabilities.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Helping guests with disabilities means being physically present to assist.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Transporting guests about premises and local areas
This work happens in the physical world: guests, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Transport guests about premises and local areas, or arrange for transportation.” (O*NET task statement)
How this row was scored
Exposure score: 12 out of 100 (5–19 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Booking a car can be done by software, but carrying guests around the property cannot.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Picking up and returning items for laundry and valet service
This work happens in the physical world: and returning items, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Pick up and return items for laundry and valet service.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Collecting and returning laundry is physical fetching and carrying.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Explaining the operation of room features
This work happens in the physical world: the operation of room features, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Explain the operation of room features, such as locks, ventilation systems, and televisions.” (O*NET task statement)
How this row was scored
Exposure score: 18 out of 100 (11–25 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: The explanation is easy to write down, but it is given while standing in the room pointing things out.
The five ratings: output a model can produce 3/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 4/4.

Show the other 7 tasks

Arranging for shipments of baggage
staying human
This work happens in the physical world: shipments of baggage, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Arrange for shipments of baggage, express mail, and parcels by providing weighing and billing services.” (O*NET task statement)
How this row was scored
Exposure score: 32 out of 100 (25–39 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Billing and booking a shipment is easily automated, though the bags still have to be weighed.
The five ratings: output a model can produce 3/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Paging guests in hotel lobbies
staying human
This work happens in the physical world: guests, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Page guests in hotel lobbies, dining rooms, or other areas.” (O*NET task statement)
How this row was scored
Exposure score: 16 out of 100 (9–23 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Paging is a simple announcement, but it means walking the hotel's public areas looking for someone.
The five ratings: output a model can produce 3/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Acting as part of the security team at transportation terminals
staying human
This work happens in the physical world: part of the security team, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Act as part of the security team at transportation terminals, hotels, or similar establishments.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Being part of a security presence means physically being on site.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Delivering messages and room service orders
staying human
This work happens in the physical world: messages, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Deliver messages and room service orders, and run errands for guests.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Delivering messages, food and errands means carrying things to people.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Maintaining clean lobbies or entrance areas for travelers or guests
staying human
This work happens in the physical world: clean lobbies, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Maintain clean lobbies or entrance areas for travelers or guests.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Keeping lobbies clean is physical work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Inspecting guests' rooms to ensure that they are adequately
staying human
This work happens in the physical world: guests' rooms, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Inspect guests' rooms to ensure that they are adequately stocked, orderly, and comfortable.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Checking a room is stocked and tidy means walking into it.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Setting up conference rooms, display tables, racks or shelves and arranging merchandise displays for sales personnel
staying human
This work happens in the physical world: conference rooms, display tables, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Set up conference rooms, display tables, racks, or shelves, and arrange merchandise displays for sales personnel.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Setting up rooms, tables and displays is physical work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.

What this job pays, and how many people do it

Median pay: $37,080a year, the middle of the range, so half earn more and half earn less.bls-oews, 2025 · May 2025 estimates (national_M2025_dl.xlsx)
How we know this
Source: bls-oews
Reference period: May 2025 estimates (national_M2025_dl.xlsx)
Rounding: Shown as published.
People doing this job: 28,510in the US, 2025.bls-oews · May 2025 estimates (national_M2025_dl.xlsx)

What is deliberately not here: a forecast of how many of these jobs exist in ten years. Where an official projection exists for a market we publish it with its vintage; where it does not, we leave the space empty rather than borrow the other country’s number.

Why this is shifting

The reason is boringly specific. Most of what is shifting here is reading one thing and writing another: charge slips in, a record out. The rows above are exactly that shape: computing and completing charge slips for services rendered and maintaining records and completing baggage insurance forms. What it cannot do is be there in the room, and that is still where luggage, trunks and packages get done. Which is why this page talks about your tasks changing, not your job ending.

Your move

Over a pint: what I’d tell you if you were my friend

Start with what does not change: transferring luggage, trunks and packages to and from rooms, loading areas, vehicles or transportation terminals is the middle of this job, and the evidence on this page says it stays with a person.

So, given all that: 6% of this job's task weight sits in rows the software is already learning, 8% in rows that change shape rather than disappear, and 86% in rows it is nowhere near. That is the position, measured across 17 scored tasks. It is not a forecast about you.

So the thing worth your attention is not the job going away. It is the layer around it. Computing and completing charge slips for services rendered and maintaining records is the part turning into software, and being the person who understands that layer is worth money.

This week: one thing

Ask the one question. Find whoever is bringing new software into your workplace (the manager, the office, whoever runs the system) and ask them what it is meant to do to charge slips, and what it is not meant to touch. Ten minutes, this week, before anyone decides it for you.

What you end up holding: a straight answer about what is actually being rolled out, and when
How long it takes: ten minutes

If there’s nobody obvious to ask, or you’d rather not ask your manager: Put the same question to your union rep, your shift lead or the person who has been there longest, in person, over a break. Same ten minutes, same answer, and you will usually get a straighter one. Write down what they say. The note is the artifact, and it tells you whether luggage, trunks and packages are in scope or not. Nothing to log into, no license needed.

Over the next 90 days

Get inside the tool rollout rather than waiting for it. Over the next ninety days, ask to be in the group that tests, checks or signs off whatever new system arrives near supplying guests or travelers with directions. It is usually an unglamorous seat that nobody fights for, and it is the one that decides how the software is used on your job rather than to it.

Over the next 12 months

On this evidence I would not retrain out of this job, and I will say that plainly rather than hedge it. The task list here is dominated by work that stays with a person. What I would do with a year is get formally recognised for the layer around it (the systems, the compliance, the planning), so you are the one who understands the software instead of the one it is done to. Before you pay for anything, use CareerOneStop - Find local training. It is free, it is the Labor Department's own service, and it is listed below with the rest of the free routes.

The roads out of here, and why I am not sending you down them

I looked at the obvious moves out of this job, and here is what I found.

I checked the 12 nearest US occupations to baggage porters and bellhops (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was concierges: only about 11% of its durable work is work you already do. And on the numbers you do not need one. This job scores 12/100 here, with only 6% of the task list in the top band, and “supply guests or travelers with directions, travel information, and other information” is not work that hands over cleanly. None of them beats deepening what you already have.

How that was checked: this job was compared against all 830 US occupations in this release on their official task statements, and the 12 nearest were examined one by one. A move that turns on an industry, an employer or a qualification rather than on the work itself will not show up in a check like that. And this release carries no licence register, so anything you are weighing needs that looked up separately.

3 moves I checked and rejected

These are the obvious-looking jumps. They are here with their reasons rather than quietly dropped, because the ones that fail are worth knowing about. It is one less thing to turn over at night.

Concierges
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already deliver messages and room service orders, and run errands for guests, and their equivalent is to pick up and deliver items or run errands for guests. Across both published task lists that is about 11% of the durable work in that job.
Why I am not recommending it: You would be starting most of it from nothing: about 11% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on.
Look at that job’s page anyway →
Hotel, Motel, and Resort Desk Clerks
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already maintain clean lobbies or entrance areas for travelers or guests, and their equivalent is to clean and maintain lobby and common areas. Across both published task lists that is about 11% of the durable work in that job.
Why I am not recommending it: You would be starting most of it from nothing: about 11% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on.
Look at that job’s page anyway →
Receptionists and Information Clerks
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already greet incoming guests and escort them to their rooms, and their equivalent is to greet persons entering establishment, determine nature and purpose of visit, and direct or…. Across both published task lists that is about 6% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 6% of the durable side of that job. That is a different job, not a next step.
Look at that job’s page anyway →

What I’d stop worrying about

A friend tells you what not to spend fear on. This is that list.

The headline number you read somewhere
The big “X% of jobs” figures are about the whole economy, not about you. The number that describes your job is on this page: 6% of its task weight, across 17 scored tasks. Every row behind it is printed above with the source. Check ours; ignore theirs.
The headlines about your trade disappearing
They are usually about the technology, not the timetable. Changes to work like transferring luggage, trunks and packages to and from rooms, loading areas, vehicles or transportation terminals arrive through rules, insurance and money, slowly and visibly. This page tracks the task evidence and will move when it moves.
Retraining out of a job that is holding up
On this evidence I would not spend money leaving. Spend it on the layer around the job instead: the tools, the paperwork, the planning. That is where the change actually is.
The “obvious” next job everyone suggests
I checked the obvious moves and most of them did not survive. The reasons are printed with the routes above, including the pay and the gate. A move that fails on the numbers is worth knowing about so you can stop turning it over at night.

You are reading the United States figures

The United Kingdom splits this work across more than one official group, of which Postal workers, mail sorters and messengers is the closest. The pay and employment figures are not directly comparable, and we do not average them together.

Switch to the United Kingdom page →partial match

The other groups this work is counted across:

In UK official statistics this job is counted as Postal workers, mail sorters and messengers, Delivery drivers and couriers, Other elementary services occupations n.e.c. and Rail travel assistants. Pay is shown separately for each of those groups (medians cannot be averaged together), while the task list and the scores on this page are for this group only.

Your route through this

Where to go next, and what it costs

Free, and complete

The moves above cost nothing. These are the real services that go with them: public, government-funded, and free at the point of use. Nothing on this page is behind an email address or a payment.

Anywhere in the US:
CareerOneStop - Find local training
Search what's running near you, from the Labor Department's own database, before anyone sells you a course.
Free to search; individual programs vary, and some are funded
Anywhere in the US:
American Job Center locator
An American Job Center will sit down with you for free. Find yours by ZIP code.
Free
- CareerOneStop local help hub
Anywhere in the US:
CareerOneStop - Licensed occupations finder
Check what your state actually requires before you pay for anything.
Free
Anywhere in the US:
CareerOneStop
Free

No Space for this job, but one for what is happening to it

Nothing Collab365 runs is built for baggage porters / bellhops, and we are not going to point you at the nearest one and call it a fit.

There is one that is not about a job title at all. The AI Authority is about being the person who directs these tools at work rather than the person they get compared to. That is worth saying here, because 6% of the work on this page is already inside what they can do.

Try The AI Authority free →

7 days free, no card needed. Explore up to 2 Spaces before you choose a plan: you pick a plan later, not now.

The AI Authority is a general community about working with AI, not a course for baggage porters / bellhops. You do not need it to act on anything here: the moves above cost nothing and stand on their own. The data on this page is the same either way.

Noted, and thank you. We’ll email you if a Space for baggage porters / bellhops launches. Nothing else.

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No Space for baggage porters / bellhops yet. Should there be one?

Collab365 Spaces is built by the same people as this site. We find the problems that AI and automation are creating inside one kind of work, then solve them as short courses, briefings and Blueprints. Each Space is the community too, so the research and the people doing your job are in the same place.

What a Space actually is, in full

Collab365 launches new communities where the need is real. If one for baggage porters / bellhops existed, with researched problems, courses and people in the same boat, would you want in?

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This unlocks nothing. Every figure, every row and every step on this page is already yours, whether you fill this in or not.

No deadline on any of this. The page will still be here, and the data is refreshed on a published schedule rather than when someone wants a headline.

Questions people ask about this job

Will AI replace Baggage Porters and Bellhops?: Not as a job, but it is already doing parts of the work. Across the 17 official task statements scored for Baggage Porters and Bellhops (United States, SOC 39-6011), 6% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 12 out of 100 (range 10–17, band: minimal). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.
Which tasks in “Baggage Porters and Bellhops” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Complete baggage insurance forms” (88/100, very high); “Compute and complete charge slips for services rendered and maintain records” (75/100, high); “Supply guests or travelers with directions, travel information, and other information, such as available services and points of interest” (43/100, partial). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.
Which tasks in “Baggage Porters and Bellhops” stay human?: About 86% of this job's task weight sits in work that scores low for AI exposure. The lowest-scoring tasks in release 2026-q4.1 are: “Set up conference rooms, display tables, racks, or shelves, and arrange merchandise displays for sales personnel” (0/100, minimal); “Inspect guests' rooms to ensure that they are adequately stocked, orderly, and comfortable” (0/100, minimal); “Pick up and return items for laundry and valet service” (0/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.
What should someone working in “Baggage Porters and Bellhops” do about AI?: Start from the ledger rather than the headline: 6% of this job's weighted core work is exposed, and roughly 86% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.
How is the AI exposure score for Baggage Porters and Bellhops calculated?: Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 17 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.

Where these numbers come from

Worth knowing about these figures

The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Task statements: onet-dbProcessing: catalogue-bridge → onet-im-rt-weighting → task-scoring → score-aggregation
Task weights: onet-db (im-rt)
Scores: Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-05.
Pay and employment: bls-oews (May 2025 estimates (national_M2025_dl.xlsx))bls-oews (May 2025 estimates (national_M2025_dl.xlsx))

Figures on this page come from release 2026-q4.1, published 2026-08-05. Every release keeps its own permanent address, so a figure you cite in March is still there, unchanged, in November.

The plain-English wording on this page is assembled directly from the task statements and the published ratings, not written by hand for this occupation. That is why it is specific, and it is also why we say so.

The routes and free resources further up are today’s, not the release’s (last reviewed 2026-08-05). A route is an offer, not a historical fact, so it moves on its own clock.

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Everything on this site is published under CC BY 4.0. Quote it, chart it, sell something built on it. Just say where it came from, and cite the dated release rather than the site, so the figure you quote stays checkable.

Plain text

Collab365 (2026). Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1 (methodVersion 2.0.0, promptVersion task_scoring_v1.0). https://futureproof.collab365.com/data/2026-q4.1. Licensed CC BY 4.0. Built with O*NET data (USDOL/ETA, CC BY 4.0); ONS data (Open Government Licence v3.0); GAISI task framework (arXiv:2507.22748, MIT); BLS data (public domain).

BibTeX

@misc{collab365futureproof2026q41,
  title        = {Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1},
  author       = {{Collab365}},
  year         = {2026},
  url          = {https://futureproof.collab365.com/data/2026-q4.1},
  note         = {Release 2026-q4.1, methodVersion 2.0.0, promptVersion task_scoring_v1.0, CC BY 4.0}
}

Permalink

https://futureproof.collab365.com/data/2026-q4.1

Data as of release 2026-q4.1, published 2026-08-05. Releases never change after publication; when the figures move, a new dated release is published beside this one and this one stays exactly where it is.