Will AI replace Funeral Home Managers?

Not as a job, but it is already doing parts of the work. Across the 23 official task statements scored for Funeral Home Managers (United States, SOC 11-9171), 26% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 34 out of 100 (range 28–40, band: low). 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 “Funeral Home Managers” can AI already do?

The highest-scoring tasks in release 2026-q4.1 are: “Conduct market research and analyze industry trends” (75/100, high); “Review financial statements, sales or activity reports, or other performance data to identify opportunities for cost reductions or service improvements” (75/100, high); “Set marketing, sales, or other financial goals for funeral service establishments and monitor progress toward these goals” (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 “Funeral Home Managers” stay human?

About 64% 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: “Deliver death certificates to medical facilities or offices to obtain signatures from legally authorized persons” (0/100, minimal); “Offer counsel and comfort to families and friends of the deceased” (1/100, minimal); “Attend or make presentations at community events to promote funeral home services or build community relationships” (6/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.

What should someone working in “Funeral Home Managers” do about AI?

Start from the ledger rather than the headline: 26% of this job's weighted core work is exposed, and roughly 64% 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 Funeral Home Managers 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 23 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

Funeral Home Managers

consulting with families or friends of the deceased to arrange funeral details, selling funeral services, products or merchandise to clients and planning and implementing changes to service offerings to meet community needs or increase funeral home revenues. If that's your week, this page is about your job.

The honest answer

AI is already taking a real slice of the routine work here: scheduling funerals, burials or cremations. That is a slice of tasks, not of you.

Your move: what you can actually do about this ↓

Where the work sits, by task weight

shifting to AI: 26%
changing shape: 11%
staying human: 64%

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

Whole-job exposure score 34 out of 100 (28–40 allowing for uncertainty): low exposure, across 23 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 funeral home managers 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.

That slice is not coming back; the core of the job, offering counsel and comfort to families and friends, stays yours. The tools change hands, the accountability doesn't.

Your week, as this page understands it

Plan, direct, or coordinate the services or resources of funeral homes. Includes activities such as determining prices for services or merchandise and managing the facilities of funeral homes. The job title says “funeral home managers”. The real job is the part underneath: offering counsel and comfort to families and friends. 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 funeral home managers is not one task. It is 23 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is offering counsel and comfort to families and friends, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 26%
changing shape: 11%
staying human: 64%

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.

4 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

6 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.

Scheduling funerals, burials or cremations
This is reading one thing and writing another: funerals, burials or cremations in, a record out. That is the shape today's tools are built for.
importance 5 · Core
Source: “Schedule funerals, burials, or cremations.” (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: Coordinating dates between the family, cemetery and staff is scheduling work software already does 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 1/4 · how much data exists 3/4.
Completing and maintaining records, such as state-required documents, tracking documents or product inventories
This is reading one thing and writing another: records in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Complete and maintain records, such as state-required documents, tracking documents, or product inventories.” (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: Keeping required state records and inventories is form-filling and tracking that software handles 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.
Scheduling work hours for funeral home or contract employees
This is reading one thing and writing another: work hours in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Schedule work hours for funeral home or contract employees.” (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: Building a staff schedule around cover and call-outs is a planning job software does 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 1/4 · how much data exists 3/4.
Reviewing financial statements
This is reading one thing and writing another: financial statements in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Review financial statements, sales or activity reports, or other performance data to identify opportunities for cost reductions or service improvements.” (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: Reading sales and financial reports for cost or service improvements is the sort of analysis software is good at.
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.

Changing shape

3 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.

Explaining goals, policies or procedures to staff members
The software now makes the first pass at goals, policies or procedures, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Explain goals, policies, or procedures to staff members.” (O*NET 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: Written policy explanations are simple to produce, though telling staff in person is part of the job.
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.
Setting prices or crediting terms for funeral products or services
The software now makes the first pass at prices, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Set prices or credit terms for funeral products or services.” (O*NET task statement)
How this row was scored
Exposure score: 44 out of 100 (37–51 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch.
The rating behind it: Price setting can be modeled, but the judgment about what local families will pay stays with the manager.
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 0/4 · how much data exists 2/4.
Planning and implementing sales promotions or other marketing strategies and activities for funeral home operations
The software now makes the first pass at sales promotions, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 3 · Core
Source: “Plan and implement sales promotions or other marketing strategies and activities for funeral home operations.” (O*NET 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: Marketing plans and promotional copy are easy to draft, though running local activity needs a person.
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.

Staying human

14 tasks

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

Consulting with families or friends of the deceased to arrange funeral details
This work happens in the physical world: families, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Consult with families or friends of the deceased to arrange funeral details, such as obituary notice wording, casket selection, or plans for services.” (O*NET task statement)
How this row was scored
Exposure score: 9 out of 100 (2–16 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: Families arranging a funeral need someone sitting with them; the choices follow from a personal conversation.
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.
Offering counsel and comfort to families and friends
This work happens in the physical world: counsel, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Offer counsel and comfort to families and friends of the deceased.” (O*NET task statement)
How this row was scored
Exposure score: 1 out of 100 (0–5 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: Comforting a grieving family is the work itself, and it depends on a person being with them.
The five ratings: output a model can produce 0/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 4/4 · how much data exists 1/4.
Monitoring funeral service operations to ensure that they comply with applicable policies
The ratings behind this row put funeral service operations well outside what today's tools can do on their own.
importance 5 · Core
Source: “Monitor funeral service operations to ensure that they comply with applicable policies, regulations, and laws.” (O*NET task statement)
How this row was scored
Exposure score: 38 out of 100 (31–45 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: Checking operations against written rules is largely desk work, though some of it means walking the premises.
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 0/4 · how much data exists 3/4.

Show the other 13 tasks

Conducting market research and analyzing industry trends
shifting to AI
This is reading one thing and writing another: market research in, a record out. That is the shape today's tools are built for.
importance 3 · Core
Source: “Conduct market research and analyze industry trends.” (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: Gathering and analyzing industry trends is desk research that software does quickly and 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 3/4.
Setting marketing, sales or other financial goals for funeral service establishments and monitoring progress toward these goals
shifting to AI
This is reading one thing and writing another: sales in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Set marketing, sales, or other financial goals for funeral service establishments and monitor progress toward these goals.” (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: Setting targets and tracking progress against them is number work software handles 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 3/4.
Planning and implementing changes to service offerings to meet community needs or increase funeral home revenues
staying human
The ratings behind this row put changes well outside what today's tools can do on their own.
importance 4 · Core
Source: “Plan and implement changes to service offerings to meet community needs or increase funeral home revenues.” (O*NET task statement)
How this row was scored
Exposure score: 32 out of 100 (25–39 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch.
The rating behind it: Software can suggest new service options from data, but knowing what this community wants comes from local knowledge.
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 1/4 · how much data exists 2/4.
Evaluating the performance of vendors
staying human
The ratings behind this row put the performance of vendors well outside what today's tools can do on their own.
importance 3 · Core
Source: “Evaluate the performance of vendors, contract employees, or other service providers to ensure quality and cost-efficiency.” (O*NET task statement)
How this row was scored
Exposure score: 32 out of 100 (25–39 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch.
The rating behind it: Vendor scorecards can be produced from records, but quality judgment often comes from working with them.
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 1/4 · how much data exists 2/4.
Identifying skill development needs for funeral home staff
staying human
The ratings behind this row put skill development needs well outside what today's tools can do on their own.
importance 4 · Core
Source: “Identify skill development needs for funeral home staff.” (O*NET task statement)
How this row was scored
Exposure score: 32 out of 100 (25–39 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch.
The rating behind it: Spotting training gaps can be drafted from records, though it leans on watching staff at work.
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 1/4 · how much data exists 2/4.
Responding to customer complaints, legal inquiries, payment negotiations or other post-service matters
staying human
The value here is that a specific person handles customer complaints, legal inquiries and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Respond to customer complaints, legal inquiries, payment negotiations, or other post-service matters.” (O*NET task statement)
How this row was scored
Exposure score: 31 out of 100 (24–38 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: Drafting replies to complaints is easy; settling money and legal disputes still needs a person to negotiate.
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 2/4 · how much data exists 2/4.
Directing or monitoring administrative, support, repair or maintenance services for funeral homes
staying human
This work happens in the physical world: administrative, support, repair or maintenance services, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Direct or monitor administrative, support, repair, or maintenance services for funeral homes.” (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: mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Overseeing repairs and support services means checking things on site as well as managing paperwork.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Negotiating contracts for prearranged funeral services
staying human
The value here is that a specific person handles contracts and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Negotiate contracts for prearranged funeral services.” (O*NET task statement)
How this row was scored
Exposure score: 18 out of 100 (11–25 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Prepaid funeral contracts are standard documents, but agreeing one with a family is a personal conversation.
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 3/4 · how much data exists 2/4.
Interviewing and hiring new employees
staying human
This work happens in the physical world: new employees, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Interview and hire new employees.” (O*NET task statement)
How this row was scored
Exposure score: 14 out of 100 (7–21 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: Screening applicants can be automated, but the interview and the hiring decision rest on meeting people.
The five ratings: output a model can produce 2/4 · 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.
Directing and supervising work of embalmers
staying human
This work happens in the physical world: work of embalmers, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Direct and supervise work of embalmers, funeral attendants, death certificate clerks, cosmetologists, or other staff.” (O*NET task statement)
How this row was scored
Exposure score: 10 out of 100 (3–17 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: Directing embalmers and attendants means being present and reading how the team is coping.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Selling funeral services, products or merchandise to clients
staying human
This work happens in the physical world: funeral services, products or merchandise, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Sell funeral services, products, or merchandise to clients.” (O*NET task statement)
How this row was scored
Exposure score: 9 out of 100 (2–16 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: Selling to a grieving family depends on trust built face to face, not on a sales script.
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.
Attending or making presentations at community events to promote funeral home services or build community relationships
staying human
This work happens in the physical world: presentations, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Attend or make presentations at community events to promote funeral home services or build community relationships.” (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: Community events need a familiar face from the funeral home actually turning up.
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.
Delivering death certificates to medical facilities or offices to obtain signatures from legally authorized persons
staying human
This work happens in the physical world: death certificates, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Deliver death certificates to medical facilities or offices to obtain signatures from legally authorized persons.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Someone has to physically carry the certificate to the office and collect a signature.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.

What this job pays, and how many people do it

Median pay: $78,790a 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: 13,910in 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: funerals, burials or cremations in, a record out. The rows above are exactly that shape: scheduling funerals, burials or cremations and completing and maintaining records. What it cannot do is be there in the room, and that is still where counsel 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

Your week is splitting in two, and which half fills it is the whole question. Scheduling funerals, burials or cremations is going; offering counsel and comfort to families and friends is not.

So, given all that: 26% of this job's task weight sits in rows the software is already learning, 11% in rows that change shape rather than disappear, and 64% in rows it is nowhere near. That is the position, measured across 23 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 (offering counsel and comfort to families and friends) 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 offering counsel and comfort to families and friends, 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 funeral home managers (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was morticians, undertakers, and funeral arrangers: only about 29% of its durable work is work you already do and it pays 30.2% less. And on the numbers you do not need one. This job scores 34/100 here, with only 26% of the task list in the top band, and “consult with families or friends of the deceased to arrange funeral details” is not work that hands over cleanly. None of them beats deepening what you already have.

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

3 moves I checked and rejected

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

Morticians, Undertakers, and Funeral Arrangers
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “consult with families or friends of the deceased to arrange funeral details”. Across the whole of both lists that adds up to about 29% of the work in that job the software is not taking.
Why I am not recommending it: It is closer than most, and still not close enough: about 29% of that job's durable work is already yours, against the 35% I want to see before I will call something a route. It is a pay cut, in those words: $55,010 against your $78,790, 30.2% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
Look at that job’s page anyway →
Funeral Attendants
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already identify skill development needs for funeral home staff, and their equivalent is to greet people at the funeral home. Across both published task lists that is about 11% of the durable work in that job.
Why I am not recommending it: You would be starting most of it from nothing: about 11% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on. It is a pay cut, in those words: $35,680 against your $78,790, 54.7% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
Look at that job’s page anyway →
Embalmers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already identify skill development needs for funeral home staff, and their equivalent is to remove the deceased from place of death and transport to funeral home. Across both published task lists that is about 8% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 8% of the durable side of that job. That is a different job, not a next step. It is a pay cut, in those words: $58,780 against your $78,790, 25.4% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
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: 26% of its task weight, across 23 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.

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 scheduling funerals, burials or cremations, 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 States figures

The United Kingdom splits this work across more than one official group, of which Undertakers, mortuary and crematorium assistants 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 Undertakers, mortuary and crematorium assistants, Office managers, Property, housing and estate managers and Functional managers and directors n.e.c.. Pay is shown separately for each of those groups (medians cannot be averaged together), while the task list and the scores on this page are for this group only.

Your route through this

Where to go next, and what it costs

Free, and complete

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

Anywhere in the US:
CareerOneStop - Find local training
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Anywhere in the US:
CareerOneStop
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No Space for this job, but one for what is happening to it

Nothing Collab365 runs is built for funeral home managers, 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 26% 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 funeral home managers. 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 funeral home managers launches. Nothing else.

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No Space for funeral home managers 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 funeral home managers 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 funeral home managers 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 Funeral Home Managers?: Not as a job, but it is already doing parts of the work. Across the 23 official task statements scored for Funeral Home Managers (United States, SOC 11-9171), 26% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 34 out of 100 (range 28–40, band: low). 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 “Funeral Home Managers” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Conduct market research and analyze industry trends” (75/100, high); “Review financial statements, sales or activity reports, or other performance data to identify opportunities for cost reductions or service improvements” (75/100, high); “Set marketing, sales, or other financial goals for funeral service establishments and monitor progress toward these goals” (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 “Funeral Home Managers” stay human?: About 64% 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: “Deliver death certificates to medical facilities or offices to obtain signatures from legally authorized persons” (0/100, minimal); “Offer counsel and comfort to families and friends of the deceased” (1/100, minimal); “Attend or make presentations at community events to promote funeral home services or build community relationships” (6/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.
What should someone working in “Funeral Home Managers” do about AI?: Start from the ledger rather than the headline: 26% of this job's weighted core work is exposed, and roughly 64% 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 Funeral Home Managers 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 23 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.
4 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: 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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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.