Will AI replace Travel agency managers and proprietors?

Not as a job, but it is already doing parts of the work. Across the 35 official task statements scored for Travel agency managers and proprietors (United Kingdom, SOC 1225), 51% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 58 out of 100 (range 52–64, band: partial). 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 “Travel agency managers and proprietors” can AI already do?

The highest-scoring tasks in release 2026-q4.1 are: “Calculate the cost of travel and accommodation using various tools” (93/100, very high); “Record information on clients, suppliers, and travel packages” (93/100, very high); “Request travel carrier tickets through a system link to the travel carrier” (93/100, very high). 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 “Travel agency managers and proprietors” stay human?

About 23% 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: “Motivate the sales team to hit and exceed their targets and ensure company profitability” (9/100, minimal); “Consult with company directors to receive strategic advice and insights on local issues and future trends” (13/100, minimal); “Engage with excursion agents and travel companies for joint ventures” (21/100, low). 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 “Travel agency managers and proprietors” do about AI?

Start from the ledger rather than the headline: 51% of this job's weighted core work is exposed, and roughly 23% 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 Travel agency managers and proprietors 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 35 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.

UK dataswitch to US

Travel agency managers and proprietors

booking transport and hotel reservations, addressing customer enquiries and complaints promptly and effectively and managing operations to ensure the business runs smoothly and efficiently. If that's your week, this page is about your job.

The honest answer

This job is splitting in two: calculating the cost of travel and accommodation using various tools is work AI now does quickly and cheaply, and motivating the sales team to hit and exceed their targets and ensuring company profitability is work it can't touch.

Your move: what you can actually do about this ↓

Where the work sits, by task weight

shifting to AI: 51%
changing shape: 26%
staying human: 23%

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

Whole-job exposure score 58 out of 100 (52–64 allowing for uncertainty): partial exposure, across 35 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 travel agency managers and proprietors 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 2026-08-04. Read the full method.

Which half fills your week decides your exposure. That is more in your control than it sounds.

Your week, as this page understands it

Travel agency managers and proprietors plan, organise, direct and co-ordinate the resources and activities of travel agencies and booking offices. The job title says “travel agency managers” or “proprietors”: officially one job, two names. The real job is the part underneath: motivating the sales team to hit and exceed their targets and ensuring company profitability. 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 travel agency managers and proprietors is not one task. It is 35 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is motivating the sales team to hit and exceed their targets and ensuring company profitability, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 51%
changing shape: 26%
staying human: 23%

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 2026-08-04. 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.

One row is marked low confidence, so treat it as a ballpark rather than a fine measurement.
22 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
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

18 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.

Booking transport and hotel reservations
This is reading one thing and writing another: transport in, a record out. That is the shape today's tools are built for.
importance 90 · 1225/00
Source: “Book transport and hotel reservations, using computer or telephone.” (UK task statement)
How this row was scored
Exposure score: 64 out of 100 (60–68 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: Booking systems do most of this already, and software can search, hold and confirm reservations with only a quick human check.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Calculating the cost of travel and accommodation using various tools
This is reading one thing and writing another: the cost of travel in, a record out. That is the shape today's tools are built for.
importance 85 · 1225/00
Source: “Calculate the cost of travel and accommodation using various tools.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 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: Adding up fares, room rates and extras is arithmetic against a price list, which software does faster and more accurately.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Maintaining financial records and accounts to manage travel bookings
This is reading one thing and writing another: financial records in, a record out. That is the shape today's tools are built for.
importance 85 · 1225/00
Source: “Maintain financial records and accounts to manage travel bookings.” (UK 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: Keeping booking accounts and records straight is routine, well-documented bookkeeping that software already does very 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.
Responding to customer enquiries
This is reading one thing and writing another: customer enquiries in, a record out. That is the shape today's tools are built for.
importance 85 · 1225/00
Source: “Respond to customer enquiries.” (UK task statement)
How this row was scored
Exposure score: 79 out of 100 (75–83 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: Answering customer questions from known information is something software already does at speed and scale.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.

Changing shape

9 tasks

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.

Promoting and selling travel products and services based on customer needs
The software now makes the first pass at travel products, but the part that matters is a person saying it and standing behind it. So the job becomes checking and deciding rather than producing.
importance 90 · 1225/00
Source: “Promote and sell travel products and services based on customer needs.” (UK task statement)
How this row was scored
Exposure score: 53 out of 100 (49–57 allowing for uncertainty): partial exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Software can match products to stated needs, but persuading someone to buy still leans on a salesperson's live reading of the customer.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Selling travel packages
The software now makes the first pass at travel packages, but the part that matters is a person saying it and standing behind it. So the job becomes checking and deciding rather than producing.
importance 90 · 1225/00
Source: “Sell travel packages.” (UK task statement)
How this row was scored
Exposure score: 53 out of 100 (49–57 allowing for uncertainty): partial exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Presenting and closing a package sale still depends on live persuasion, even though the product information itself is easy to generate.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Discussing with customers to determine their travel destination and dates
The software now makes the first pass at customers, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 85 · 1225/00
Source: “Discuss with customers to determine their travel destination and dates.” (UK task statement)
How this row was scored
Exposure score: 53 out of 100 (46–60 allowing for uncertainty): partial exposure, medium 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: Asking where and when someone wants to travel is a simple exchange booking systems already handle.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 4/4.

Staying human

8 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.

Addressing customer enquiries and complaints promptly and effectively
The value here is that a specific person handles customer enquiries and stands behind it. That is earned, not computed.
importance 85 · 1225/00
Source: “Address customer enquiries and complaints promptly and effectively.” (UK task statement)
How this row was scored
Exposure score: 39 out of 100 (32–46 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Most enquiries and complaints follow familiar patterns software can answer, though some customers want a manager.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Managing operations to ensure the business runs smoothly and efficiently
The ratings behind this row put operations well outside what today's tools can do on their own.
importance 85 · 1225/00
Source: “Manage operations to ensure the business runs smoothly and efficiently.” (UK 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.
The rating behind it: Reporting and scheduling can be automated, but running a travel business day to day means dealing with suppliers, staff and customers.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Recruiting and training new staff to enhance travel service offerings
The value here is that a specific person handles new staff and stands behind it. That is earned, not computed.
importance 85 · 1225/00
Source: “Recruit and train new staff to enhance travel service offerings.” (UK task statement)
How this row was scored
Exposure score: 30 out of 100 (23–37 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Adverts and training material can be drafted, but choosing and coaching real staff happens face to face.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.

Show the other 25 tasks

Recording information on clients, suppliers and travel packages
shifting to AI
This is reading one thing and writing another: information in, a record out. That is the shape today's tools are built for.
importance 80 · 1225/00
Source: “Record information on clients, suppliers, and travel packages.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 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: Typing client, supplier and package details into a system is routine record-keeping that software handles reliably.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Requesting travel carrier tickets through a system link to the travel carrier
shifting to AI
This is reading one thing and writing another: travel carrier tickets in, a record out. That is the shape today's tools are built for.
importance 80 · 1225/00
Source: “Request travel carrier tickets through a system link to the travel carrier.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 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: Sending a ticket request down a system link is a computer instruction that needs no person once the details are set.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Providing sales reports to head office to inform strategic decisions
shifting to AI
This is reading one thing and writing another: sales reports in, a record out. That is the shape today's tools are built for.
importance 75 · 1225/00
Source: “Provide sales reports to head office to inform strategic decisions.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 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: Head-office sales reports come straight from figures in the system, so software can compile and write them.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Overseeing the company's payroll system
shifting to AI
This is reading one thing and writing another: the company's payroll system in, a record out. That is the shape today's tools are built for.
importance 70 · 1225/00
Source: “Oversee the company's payroll system.” (UK 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: Overseeing payroll is rule-based administration that systems already run, with someone accountable for the returns.
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.
Sourcing and matching customers to a variety of travel options within their budget
shifting to AI
This is reading one thing and writing another: customers in, a record out. That is the shape today's tools are built for.
importance 85 · 1225/00
Source: “Source and match customers to a variety of travel options within their budget.” (UK task statement)
How this row was scored
Exposure score: 79 out of 100 (75–83 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: Matching customers to options inside a stated budget is a search-and-filter job that software does quickly and thoroughly.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Managing budgets to ensure efficient use of resources
shifting to AI
This is reading one thing and writing another: budgets in, a record out. That is the shape today's tools are built for.
importance 80 · 1225/00
Source: “Manage budgets to ensure efficient use of resources.” (UK task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium 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: Managing a budget against actual spend is standard finance system work.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Monitoring performance against agreed sales targets
shifting to AI
This is reading one thing and writing another: performance against agreed sales targets in, a record out. That is the shape today's tools are built for.
importance 80 · 1225/00
Source: “Monitor performance against agreed sales targets.” (UK 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: Tracking performance against agreed targets is standard reporting from sales systems.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Developing incentive and bonus schemes for employee motivation
shifting to AI
This is reading one thing and writing another: incentive in, a record out. That is the shape today's tools are built for.
importance 70 · 1225/00
Source: “Develop incentive and bonus schemes for employee motivation.” (UK task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium 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: Designing a bonus scheme is a well-documented design job AI drafts strongly.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Marketing specific destinations and holiday packages to potential travellers
shifting to AI
This is reading one thing and writing another: specific destinations in, a record out. That is the shape today's tools are built for.
importance 85 · 1225/00
Source: “Market specific destinations and holiday packages to potential travellers.” (UK task statement)
How this row was scored
Exposure score: 70 out of 100 (63–77 allowing for uncertainty): high exposure, medium 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: Destination and package marketing is writing and imagery, an area where these tools produce usable material quickly.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 4/4.
Printing travel carrier tickets using a computer printer system
shifting to AI
This is reading one thing and writing another: travel carrier tickets in, a record out. That is the shape today's tools are built for.
importance 85 · 1225/00
Source: “Print travel carrier tickets using a computer printer system.” (UK task statement)
How this row was scored
Exposure score: 69 out of 100 (65–73 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: Producing the ticket is a system command, though someone has to be by the printer to collect and pass it on.
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 3/4.
Providing customer with brochures and publications containing travel information
shifting to AI
This is reading one thing and writing another: customer in, a record out. That is the shape today's tools are built for.
importance 80 · 1225/00
Source: “Provide customer with brochures and publications containing travel information, such as local customs, points of interest, or foreign country regulations.” (UK task statement)
How this row was scored
Exposure score: 64 out of 100 (57–71 allowing for uncertainty): high exposure, medium 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: Destination guides, customs and entry information are abundant online and easy to assemble, with only the physical handover left to a person.
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 1/4 · how much data exists 4/4.
Setting sales targets
shifting to AI
This is reading one thing and writing another: sales targets in, a record out. That is the shape today's tools are built for.
importance 80 · 1225/00
Source: “Set sales targets.” (UK task statement)
How this row was scored
Exposure score: 64 out of 100 (57–71 allowing for uncertainty): high exposure, medium 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: Setting targets is analysis of past sales figures, which software can model and propose sensibly.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Coordinating staff schedules and rotas to ensure adequate coverage
shifting to AI
This is reading one thing and writing another: staff schedules in, a record out. That is the shape today's tools are built for.
importance 75 · 1225/00
Source: “Coordinate staff schedules and rotas to ensure adequate coverage.” (UK task statement)
How this row was scored
Exposure score: 64 out of 100 (57–71 allowing for uncertainty): high exposure, medium 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: Rota building is a scheduling problem software solves well, with a person handling awkward requests.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Launching and managing promotional competitions and campaigns
shifting to AI
This is reading one thing and writing another: promotional competitions in, a record out. That is the shape today's tools are built for.
importance 70 · 1225/00
Source: “Launch and manage promotional competitions and campaigns.” (UK task statement)
How this row was scored
Exposure score: 61 out of 100 (54–68 allowing for uncertainty): high exposure, medium 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: Campaign and competition material is quick to generate, though someone must check the promotion rules and run the launch.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 4/4.
Managing the recruitment of staff to enhance travel service offerings
changing shape
The software now makes the first pass at the recruitment of staff, but the part that matters is a person saying it and standing behind it. So the job becomes checking and deciding rather than producing.
importance 80 · 1225/00
Source: “Manage the recruitment of staff to enhance travel service offerings.” (UK task statement)
How this row was scored
Exposure score: 53 out of 100 (46–60 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Advertising roles, sifting applications and arranging interviews is largely document and admin work.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Managing travel accounts for corporate clients
changing shape
The software now makes the first pass at travel accounts, but the part that matters is a person saying it and standing behind it. So the job becomes checking and deciding rather than producing.
importance 75 · 1225/00
Source: “Manage travel accounts for corporate clients.” (UK task statement)
How this row was scored
Exposure score: 53 out of 100 (46–60 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Corporate travel accounts run on bookings, policies and reporting, though the client relationship still needs a person.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Developing and implementing marketing strategies to promote the business in new or niche markets
changing shape
The software now makes the first pass at strategies, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 85 · 1225/00
Source: “Develop and implement marketing strategies to promote the business in new or niche markets.” (UK task statement)
How this row was scored
Exposure score: 49 out of 100 (42–56 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.
The rating behind it: Plans can be drafted, but choosing and entering a new market needs commercial judgement.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Collecting payment for transport and accommodation from customer
changing shape
The software now makes the first pass at payment, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 80 · 1225/00
Source: “Collect payment for transport and accommodation from customer.” (UK task statement)
How this row was scored
Exposure score: 48 out of 100 (41–55 allowing for uncertainty): partial exposure, medium 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: Card and online payment handling is mostly automated, though a shop counter still needs someone there for cash or card machines.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Sourcing products and destinations to meet consumer demands for bespoke travel and sustainable tourism
changing shape
The software now makes the first pass at products, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 80 · 1225/00
Source: “Source products and destinations to meet consumer demands for bespoke travel and sustainable tourism.” (UK task statement)
How this row was scored
Exposure score: 48 out of 100 (41–55 allowing for uncertainty): partial exposure, medium 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: Researching destinations and suppliers against what customers want is desk research with plenty of published information.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Liaising with travel partners, including airlines and hotels
changing shape
The software now makes the first pass at travel partners, including airlines and hotels, but the part that matters is a person saying it and standing behind it. So the job becomes checking and deciding rather than producing.
importance 80 · 1225/00
Source: “Liaise with travel partners, including airlines and hotels, to manage bookings and schedules, often a year in advance.” (UK task statement)
How this row was scored
Exposure score: 40 out of 100 (33–47 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Much of the traffic with airlines and hotels is written, though the negotiating relies on established contacts.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Developing new business opportunities to attract more travellers and enhance service packages
staying human
The value here is that a specific person handles new business opportunities and stands behind it. That is earned, not computed.
importance 80 · 1225/00
Source: “Develop new business opportunities to attract more travellers and enhance service packages.” (UK task statement)
How this row was scored
Exposure score: 30 out of 100 (23–37 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Research and proposals come easily, but winning new business rests on relationships with partners and customers.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Delivering and exceeding branch performance and productivity
staying human
The value here is that a specific person handles branch performance and stands behind it. That is earned, not computed.
importance 80 · 1225/00
Source: “Deliver and exceed branch performance and productivity.” (UK task statement)
How this row was scored
Exposure score: 21 out of 100 (9–33 allowing for uncertainty): low exposure, low confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Hitting branch targets is about leading people day to day; analysis can inform that but not do it.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Engaging with excursion agents and travel companies for joint ventures
staying human
The value here is that a specific person handles excursion agents and stands behind it. That is earned, not computed.
importance 75 · 1225/00
Source: “Engage with excursion agents and travel companies for joint ventures.” (UK task statement)
How this row was scored
Exposure score: 21 out of 100 (14–28 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Joint ventures with local operators are built on personal relationships and negotiation over time.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Consulting with company directors to receive strategic advice and insights on local issues and future trends
staying human
The value here is that a specific person handles company directors and stands behind it. That is earned, not computed.
importance 70 · 1225/00
Source: “Consult with company directors to receive strategic advice and insights on local issues and future trends.” (UK task statement)
How this row was scored
Exposure score: 13 out of 100 (6–20 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Taking strategic advice from directors is a live conversation between people who know each other.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Motivating the sales team to hit and exceed their targets and ensuring company profitability
staying human
This work happens in the physical world: the sales team, in a real place. Software cannot follow it there.
importance 75 · 1225/00
Source: “Motivate the sales team to hit and exceed their targets and ensure company profitability.” (UK task statement)
How this row was scored
Exposure score: 9 out of 100 (5–13 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: Pushing a sales team to hit targets works through personal encouragement day to day.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.

What this job pays, and how many people do it

Median pay: £35,100a year, before tax, the middle of the range, so half earn more and half earn less.ashe-t14, 2025 · ASHE 2025 provisional (reference April 2025)Provisional, because the ONS revises this figure in the autumn.
How we know this
Source: ashe-t14
Reference period: ASHE 2025 provisional (reference April 2025)
Rounding: Shown to the nearest £100. The exact published figure is in the downloadable dataset. We do not render pounds the survey cannot support.
People doing this job: 10,400in the UK, 2026.nomis-aps · Apr 2025-Mar 2026 (latest APS 12-month period)This headcount comes from a survey, not a census, so treat it as a good estimate rather than an exact count.

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: the cost of travel in, a record out. The rows above are exactly that shape: calculating the cost of travel and accommodation using various tools and booking transport and hotel reservations. What it cannot do is be there in the room, and that is still where the sales team gets 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

The exposed part of your job is the biggest part, and I am not going to dress that up: calculating the cost of travel and accommodation using various tools is work today's tools do quickly and cheaply, and that is not coming back.

So, given all that: 51% of this job's task weight sits in rows the software is already learning, 26% in rows that change shape rather than disappear, and 23% in rows it is nowhere near. That is the position, measured across 35 scored tasks. It is not a forecast about you.

What you have that the software does not is motivating the sales team to hit and exceed their targets and ensuring company profitability, plus the years of knowing when something looks wrong before you can say why. That is the raw material for everything below.

This week: one thing

Sit on the machine's side of the desk. Pick one real piece of the cost of travel you would normally do yourself, let whatever software you already have take the first pass at it, and then go through what it produced and write down every single thing it got wrong. One evening this week. Do not fix anything yet. Just catch it.

What you end up holding: a written list of the machine’s mistakes, in your handwriting
How long it takes: an evening, or an hour if you pick one job rather than one client

If you can’t run software on your employer’s or your clients’ data: Do the same hunt on paper. Take one printed piece of the cost of travel, work through it the way you always do, and mark every point where you made a call rather than followed a rule. Same evening, same list, nothing to log into and nobody to ask permission from. That list is the same artifact: it is the judgment written down.

Over the next 90 days

Change one sentence about what you do. Not on a CV. Out loud, to whoever pays you. From “my job is calculating the cost of travel and accommodation using various tools” to “I check what the software does and tell you what it means.” Your error list from this week is what makes that sentence true instead of a claim, so use it: show it once, to one person, inside the next ninety days. Same skills, priced as judgment rather than as typing.

Over the next 12 months

Walk toward the end of this job that answers for things, and get it recognised. Pick the one part of motivating the sales team to hit and exceed their targets and ensuring company profitability you are already best at, and spend the year making it formal: a qualification, a named responsibility, a specialism people ask for by name. Price it honestly: that is evenings, it is months rather than weeks, and the seats are competitive because everyone in your position is looking at the same door. Before you pay for anything, spend an hour with National Careers Service. It is free and government-funded, 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 UK occupations to travel agency managers and proprietors (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was travel agents: only about 20% of its durable work is work you already do, it is under the same pressure this job is and it pays 18.1% less. Your own job splits about 51/49: that share of the list sits in the top exposure band and the rest does not. On this evidence the honest move is inside the job rather than out of it. Become the person who owns “promote and sell travel products and services based on customer needs”, and let the exposed end go.

How that was checked: this job was compared against all 412 UK 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.

Travel agents
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “sell travel packages”. Across the whole of both lists that adds up to about 20% of the work in that job the software is not taking.
Why I am not recommending it: You would be starting most of it from nothing: about 20% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on. I will not move you off one melting floe onto another: 55% of its own task list already scores in the top exposure band (60/100 in this release), so the same software is eating it. It is a pay cut, in those words: £28,746 against your £35,105, 18.1% less (ASHE Table 14.7a, 2025 provisional (both)). Retraining to earn less is a decision, not advice.
Look at that job’s page anyway →
Managers and directors in retail and wholesale
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “motivate the sales team to hit and exceed their targets and ensure company profitability”. Across the whole of both lists that adds up to about 10% of the work in that job the software is not taking.
Why I am not recommending it: You would be starting most of it from nothing: about 10% 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 →
Business sales executives
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already set sales targets, and their equivalent is to achieve sales targets. Across both published task lists that is about 7% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 7% 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: 51% of its task weight, across 35 scored tasks. Every row behind it is printed above with the source. Check ours; ignore theirs.
“It’s too late for me to become something else”
You are not starting from zero, and the page shows why: motivating the sales team to hit and exceed their targets and ensuring company profitability is work the software cannot do and you already do it. The move above is a repricing of what you know, not a new career. Nobody who has just left college has that.
“I should learn to code”
Almost certainly not. The value in your job is moving toward checking, deciding and answering for the output, not toward writing the software. A weekend of Python will not change your position; the error list from this week will.
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.

If you run a team doing this job

If you run a team doing this job, the conversation you owe them is the one on this page, and sooner than feels comfortable. Show them the ledger rather than a reassurance: the rows moving toward the software are calculating the cost of travel and accommodation using various tools, and the rows that are not are where you want your people visible. Ask each of them to do the this-week move and bring the list to your next one-to-one. It turns a rumour into a piece of work, and it tells you which parts of your team's week are actually at stake. And say the thing out loud that a team lead usually leaves unsaid: a shrinking team is your exposure too, so do the move yourself as well.

You are reading the United Kingdom figures

The United States splits this work across more than one official group, of which Entertainment and Recreation Managers, Except Gambling is the closest. The pay and employment figures are not directly comparable, and we do not average them together.

Switch to the United States page →partial match

The other groups this work is counted across:

In US official statistics this job is counted as Entertainment and Recreation Managers, Except Gambling, Personal Service Managers, All Other, Managers, All Other and Project Management Specialists. 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.

In England:
National Careers Service
A free hour with a government-funded careers adviser is worth more than another evening of reading. In England that's the National Careers Service.
Free, government-funded
- Discover your skills and careers (the skills assessment)
In England:
National Careers Service - Find a course
Search what's actually running near you before you spend anything.
Free to search; individual courses vary
In England:
Free courses for jobs (Level 3 qualifications)
A free Level 3 qualification you already qualify for beats a paid course you don't need.
Free for eligible adults
In England:
Skills Bootcamps
Free, up to 16 weeks, and you get a job interview at the end. In England these are Skills Bootcamps - search what's running near you.
Free for eligible adults in England
- Skills Bootcamps - what they are and who can do them (DfE, Skills for Careers)
- Skills Bootcamps - JobHelp (DWP)
In Scotland:
My World of Work (Skills Development Scotland)
In Scotland it's My World of Work, from Skills Development Scotland.
Free, publicly funded
- Skills Development Scotland
In Wales:
Careers Wales
In Wales it's Careers Wales.
Free, Welsh Government-funded
In Northern Ireland:
Careers Service Northern Ireland
In Northern Ireland it's the Careers Service on nidirect.
Free, Department for the Economy-funded

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

Nothing Collab365 runs is built for travel agency managers / proprietors, 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 51% 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 travel agency managers / proprietors. 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 travel agency managers / proprietors launches. Nothing else.

That did not look like an email address, so nothing was saved. Have another go below.

We could not save that. The fault is ours, not yours, and your address was not stored. Please try again later.

No Space for travel agency managers / proprietors 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 travel agency managers / proprietors existed, with researched problems, courses and people in the same boat, would you want in?

Your email

We use your email address for one thing: to tell you if a Space for travel agency managers / proprietors launches. We never sell it, never use it for unrelated marketing, and every email has a one-click unsubscribe. Our privacy policy has the full version.

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 Travel agency managers and proprietors?: Not as a job, but it is already doing parts of the work. Across the 35 official task statements scored for Travel agency managers and proprietors (United Kingdom, SOC 1225), 51% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 58 out of 100 (range 52–64, band: partial). 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 “Travel agency managers and proprietors” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Calculate the cost of travel and accommodation using various tools” (93/100, very high); “Record information on clients, suppliers, and travel packages” (93/100, very high); “Request travel carrier tickets through a system link to the travel carrier” (93/100, very high). 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 “Travel agency managers and proprietors” stay human?: About 23% 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: “Motivate the sales team to hit and exceed their targets and ensure company profitability” (9/100, minimal); “Consult with company directors to receive strategic advice and insights on local issues and future trends” (13/100, minimal); “Engage with excursion agents and travel companies for joint ventures” (21/100, low). 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 “Travel agency managers and proprietors” do about AI?: Start from the ledger rather than the headline: 51% of this job's weighted core work is exposed, and roughly 23% 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 Travel agency managers and proprietors 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 35 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

About the data on this page

Provisional, because the ONS revises this figure in the autumn.
This headcount comes from a survey, not a census, so treat it as a good estimate rather than an exact count.
One row is marked low confidence, so treat it as a ballpark rather than a fine measurement.
The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
22 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
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: gaisi-indexProcessing: catalogue-bridge → ssc-relatedness-weighting → task-scoring → score-aggregation
Task weights: gaisi-index (relatedness)
Scores: Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-05.
Pay and employment: ashe-t14 (ASHE 2025 provisional (reference April 2025))nomis-aps (Apr 2025-Mar 2026 (latest APS 12-month period))

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.

How we score a job Download this release Look up another job

Using these figures?

Cite this

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.