Will AI replace Advertising Sales Agents?

Not as a job, but it is already doing parts of the work. Across the 20 official task statements scored for Advertising Sales Agents (United States, SOC 41-3011), 45% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 51 out of 100 (range 46–58, 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 “Advertising Sales Agents” can AI already do?

The highest-scoring tasks in release 2026-q4.1 are: “Write copy as part of layout” (83/100, very high); “Process all correspondence and paperwork related to accounts” (75/100, high); “Determine advertising medium to be used, and prepare sample advertisements within the selected medium for presentation to customers” (75/100, 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 “Advertising Sales Agents” stay human?

About 25% 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: “Arrange for commercial taping sessions, and accompany clients to sessions” (6/100, minimal); “Attend sales meetings, industry trade shows, and training seminars to gather information, promote products, expand network of contacts, and increase knowledge” (6/100, minimal); “Maintain assigned account bases while developing new accounts” (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 “Advertising Sales Agents” do about AI?

Start from the ledger rather than the headline: 45% of this job's weighted core work is exposed, and roughly 25% 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 Advertising Sales Agents 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 20 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

Advertising Sales Agents

preparing and delivering sales presentations to new and existing customers to sell new advertising programs and to protect and increase existing advertising, processing all correspondence and paperwork related to accounts and preparing promotional plans, sales literature, media kits and sales contracts. If that's your week, this page is about your job.

The honest answer

This job is splitting in two: processing all correspondence and paperwork related to accounts is work AI now does quickly and cheaply, and maintaining assigned account bases while developing new accounts 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: 45%
changing shape: 30%
staying human: 25%

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

Whole-job exposure score 51 out of 100 (46–58 allowing for uncertainty): partial exposure, across 20 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 advertising sales agents 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.

Which half fills your week decides your exposure. The ledger below shows which rows you can move toward.

Your week, as this page understands it

Sell or solicit advertising space, time, or media in publications, signage, TV, radio, or Internet establishments or public spaces. The job title says “advertising sales agents”. The real job is the part underneath: maintaining assigned account bases while developing new accounts. 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 advertising sales agents is not one task. It is 20 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is maintaining assigned account bases while developing new accounts, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 45%
changing shape: 30%
staying human: 25%

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

9 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.

Providing clients with estimates of the costs of advertising products or services
This is reading one thing and writing another: clients in, a record out. That is the shape today's tools are built for.
importance 5 · Core
Source: “Provide clients with estimates of the costs of advertising products or services.” (O*NET 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: Cost estimates come from rate cards and specifications, which software applies quickly and accurately.
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.
Preparing promotional plans, sales literature, media kits and sales contracts, using computer
This is reading one thing and writing another: promotional plans, sales literature in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Prepare promotional plans, sales literature, media kits, and sales contracts, using computer.” (O*NET task statement)
How this row was scored
Exposure score: 66 out of 100 (62–70 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: Plans, media kits and standard contracts follow templates that software fills in well.
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 0/4 · how much data exists 3/4.
Processing all correspondence and paperwork related to accounts
This is reading one thing and writing another: all correspondence in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Process all correspondence and paperwork related to accounts.” (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: Account correspondence and paperwork is routine written admin software handles 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 0/4 · how much data exists 3/4.
Recommending appropriate sizes and formats
This is reading one thing and writing another: appropriate sizes in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Recommend appropriate sizes and formats for advertising, depending on medium used.” (O*NET 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: Format and size recommendations follow documented specifications for each medium.
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.

Changing shape

6 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.

Locating and contacting potential clients to offer advertising services
The software now makes the first pass at potential clients, 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 4 · Core
Source: “Locate and contact potential clients to offer advertising services.” (O*NET 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: Finding and approaching prospects is largely research and outreach software does well, though the pitch still persuades.
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.
Explaining to customers how specific types of advertising will help promote their products or services in the most effective way possible
The software now makes the first pass at customers how specific types of advertising will help, 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 4 · Core
Source: “Explain to customers how specific types of advertising will help promote their products or services in the most effective way possible.” (O*NET 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: The explanation can be written, but customers weigh it on whether they believe the person giving it.
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.
Obtaining and studying information about clients' products
The software now makes the first pass at information, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Obtain and study information about clients' products, needs, problems, advertising history, and business practices to offer effective sales presentations and appropriate product assistance.” (O*NET task statement)
How this row was scored
Exposure score: 57 out of 100 (50–64 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; mistakes that are cheap to catch.
The rating behind it: Researching a client’s products and history is desk work, though the useful detail often comes from them directly.
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 2/4.

Staying human

5 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.

Preparing and delivering sales presentations to new and existing customers to sell new advertising programs and to protect and increase existing advertising
The value here is that a specific person handles sales presentations and stands behind it. That is earned, not computed.
importance 5 · Core
Source: “Prepare and deliver sales presentations to new and existing customers to sell new advertising programs and to protect and increase existing advertising.” (O*NET 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: The deck can be drafted quickly, but winning the business happens when someone presents it to the client.
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.
Maintaining assigned account bases while developing new accounts
The value here is that a specific person handles assigned account bases while developing new accounts and stands behind it. That is earned, not computed.
importance 5 · Core
Source: “Maintain assigned account bases while developing new accounts.” (O*NET 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: Keeping accounts depends on the client’s relationship with a particular person.
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.
Attending sales meetings, industry trade shows and training seminars to gather information, promote products
This work happens in the physical world: sales meetings, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Attend sales meetings, industry trade shows, and training seminars to gather information, promote products, expand network of contacts, and increase knowledge.” (O*NET task statement)
How this row was scored
Exposure score: 6 out of 100 (0–13 allowing for uncertainty): minimal exposure, medium 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: Trade shows and sales meetings are about being in the room with people.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.

Show the other 10 tasks

Writing copy as part of layout
shifting to AI
This is reading one thing and writing another: copy in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Write copy as part of layout.” (O*NET task statement)
How this row was scored
Exposure score: 83 out of 100 (79–87 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: Writing ad copy is exactly the kind of short-form writing current tools produce well.
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 4/4.
Determining advertising medium
shifting to AI
This is reading one thing and writing another: medium in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Determine advertising medium to be used, and prepare sample advertisements within the selected medium for presentation to customers.” (O*NET 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: Choosing a medium and mocking up sample ads is well-documented work software supports 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.
Writing sales outlines for use by staff
shifting to AI
This is reading one thing and writing another: sales outlines in, a record out. That is the shape today's tools are built for.
importance 3 · Supplemental
Source: “Write sales outlines for use by staff.” (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: Sales outlines for staff are structured written material software drafts easily.
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.
Delivering advertising or illustration proofs to customers for approval
shifting to AI
This is reading one thing and writing another: illustration proofs in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Deliver advertising or illustration proofs to customers for approval.” (O*NET 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: Sending proofs for approval is straightforward, and most of it already happens by email.
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.
Informing customers of available options for advertisement artwork
shifting to AI
This is reading one thing and writing another: customers of available options in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Inform customers of available options for advertisement artwork, and provide samples.” (O*NET 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 out artwork options and sending samples is routine presentation of material that already exists.
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.
Identifying new advertising markets and propose products to serve them
changing shape
The software now makes the first pass at new advertising markets, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Identify new advertising markets, and propose products to serve them.” (O*NET task statement)
How this row was scored
Exposure score: 58 out of 100 (51–65 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: Software can spot market patterns, but judging which new markets are worth pursuing needs commercial experience.
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 0/4 · how much data exists 3/4.
Drawing up contracts for advertising work
changing shape
The software now makes the first pass at contracts, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Draw up contracts for advertising work, and collect payments due.” (O*NET task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 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: Drawing up a standard contract is templated work, though chasing payment involves dealing with the customer.
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 3/4.
Gathering all relevant material for bid processes
changing shape
The software now makes the first pass at all relevant material, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Gather all relevant material for bid processes, and coordinate bidding and contract approval.” (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.
The rating behind it: Gathering bid material is admin, but coordinating approvals means chasing people across organizations.
The five ratings: output a model can produce 2/4 · 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 3/4.
Consulting with company officials, sales departments and advertising agencies to develop promotional plans
staying human
The value here is that a specific person handles company officials, sales departments and advertising agencies and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Consult with company officials, sales departments, and advertising agencies to develop promotional plans.” (O*NET task statement)
How this row was scored
Exposure score: 35 out of 100 (28–42 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: Building a promotional plan with company officials and agencies happens through discussion between them.
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 2/4.
Arranging for commercial taping sessions
staying human
This work happens in the physical world: commercial taping sessions, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Arrange for commercial taping sessions, and accompany clients to sessions.” (O*NET task statement)
How this row was scored
Exposure score: 6 out of 100 (0–13 allowing for uncertainty): minimal exposure, medium 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: Accompanying a client to a taping session means being there with them.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.

What this job pays, and how many people do it

Median pay: $64,820a 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: 91,700in 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: all correspondence in, a record out. The rows above are exactly that shape: processing all correspondence and paperwork related to accounts and providing clients with estimates of the costs of advertising products or services. What it cannot do is be trusted in person, which is what assigned account bases while developing new accounts run on: someone specific doing it and standing behind it. 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

Your week is splitting in two, and which half fills it is the whole question. Processing all correspondence and paperwork related to accounts is going; maintaining assigned account bases while developing new accounts is not.

So, given all that: 45% of this job's task weight sits in rows the software is already learning, 30% in rows that change shape rather than disappear, and 25% in rows it is nowhere near. That is the position, measured across 20 scored tasks. It is not a forecast about you.

The occupation is an average and you are not, so the first job below is finding out where your own week actually sits.

This week: one thing

Print the task ledger above and put your own hours next to each row. Roughly, in pen, in one sitting. Then look at which group your hours actually pile up in. Twenty minutes, this week.

What you end up holding: your own week, on one page, sorted into what is shifting and what is not
How long it takes: about twenty minutes

If printing it isn’t practical: Read the rows off this page and write the same list on the back of an envelope. Same twenty minutes, same page, and it works just as well said out loud to someone who knows the job. The point is your hours next to the rows, not the paper it is on.

Over the next 90 days

Volunteer toward the durable end, visibly. Over the next ninety days put your hand up for the work in the bottom group (maintaining assigned account bases while developing new accounts) and let people see you doing it. Not a new project: the same job, with your mix deliberately tilted. The point is that when the rota or the reorganisation comes, the version of you people picture is the one doing the part that stays.

Over the next 12 months

Claim a specialism at the durable end and let the other end go. Over a year, deliberately become the person who handles maintaining assigned account bases while developing new accounts, and deliberately stop being the first choice for the rows in the top group. That trade costs something, because the exposed work is often the comfortable work. Decide it on purpose rather than by drift. 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 advertising sales agents (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was advertising and promotions managers: only about 10% of its durable work is work you already do, the 2.1× pay gap is the market pricing a barrier and there are far fewer of those jobs than of yours. Your own job splits about 45/55: 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 “prepare and deliver sales presentations to new and existing customers to sell…”, and let the exposed end go.

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.

Advertising and Promotions Managers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already consult with company officials, sales departments, and advertising agencies to develop promotional plans, and their equivalent is to plan and prepare advertising and promotional material to increase sales of products or…. Across both published task lists that is about 10% of the durable work in that job.
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. The pay gap is the market pricing a barrier: $133,660 against your $64,820 is 2.06× (OEWS May 2025 (both)), and you would be crossing it holding about 10% of their durable work. A gap that size with an overlap that small is a wish, not a route. And it is a narrow door: about 21,470 of those jobs against 91,700 of yours (OEWS May 2025), 23% as many seats.
Look at that job’s page anyway →
Sales Engineers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already attend sales meetings, industry trade shows, and training seminars to gather information, promote…, and their equivalent is to attend trade shows and seminars to promote products or to learn about industry…. 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 →
Writers and Authors
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already provide clients with estimates of the costs of advertising products or services, and their equivalent is to discuss with the client the product, advertising themes and methods, and any changes…. Across both published task lists that is about 3% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 3% 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: 45% of its task weight, across 20 scored tasks. Every row behind it is printed above with the source. Check ours; ignore theirs.
The whole-job doom story
Nothing on this page says this job ends. It says the mix inside it moves. Half the rows above are unchanged or changing shape, and the plan is about which half your week sits in. That is a very different problem, and a solvable one.
Panic-buying a course
Do the twenty-minute sorting exercise first. Most people who buy a course before they have done it buy the wrong one, and the free services listed below will tell you the same thing without charging for it.
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 Managers and directors in the creative industries 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 Managers and directors in the creative industries, Sales related occupations n.e.c. and Estate agents and auctioneers. 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

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

Nothing Collab365 runs is built for advertising sales agents, 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 45% 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 advertising sales agents. 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.

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No Space for advertising sales agents 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.

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Collab365 launches new communities where the need is real. If one for advertising sales agents 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 Advertising Sales Agents?: Not as a job, but it is already doing parts of the work. Across the 20 official task statements scored for Advertising Sales Agents (United States, SOC 41-3011), 45% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 51 out of 100 (range 46–58, 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 “Advertising Sales Agents” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Write copy as part of layout” (83/100, very high); “Process all correspondence and paperwork related to accounts” (75/100, high); “Determine advertising medium to be used, and prepare sample advertisements within the selected medium for presentation to customers” (75/100, 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 “Advertising Sales Agents” stay human?: About 25% 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: “Arrange for commercial taping sessions, and accompany clients to sessions” (6/100, minimal); “Attend sales meetings, industry trade shows, and training seminars to gather information, promote products, expand network of contacts, and increase knowledge” (6/100, minimal); “Maintain assigned account bases while developing new accounts” (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 “Advertising Sales Agents” do about AI?: Start from the ledger rather than the headline: 45% of this job's weighted core work is exposed, and roughly 25% 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 Advertising Sales Agents 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 20 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.