Will AI replace Septic Tank Servicers and Sewer Pipe Cleaners?

Not as a job, but it is already doing parts of the work. Across the 22 official task statements scored for Septic Tank Servicers and Sewer Pipe Cleaners (United States, SOC 47-4071), 4% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 8 out of 100 (range 6–12, band: minimal). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.

Which tasks in “Septic Tank Servicers and Sewer Pipe Cleaners” stay human?

About 88% 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: “Tap mainline sewers to install sewer saddles” (0/100, minimal); “Clean and disinfect domestic basements and other areas flooded by sewer stoppages” (0/100, minimal); “Rotate cleaning rods manually, using turning pins” (0/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.

What should someone working in “Septic Tank Servicers and Sewer Pipe Cleaners” do about AI?

Start from the ledger rather than the headline: 4% of this job's weighted core work is exposed, and roughly 88% 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 Septic Tank Servicers and Sewer Pipe Cleaners 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 22 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

Septic Tank Servicers and Sewer Pipe Cleaners

communicating with supervisors and other workers, servicing, adjusting and cleaning and disinfecting domestic basements and other areas flooded by sewer stoppages. If that's your week, this page is about your job.

The honest answer

AI changes the edges of this job, not the middle: driving trucks to transport crews is work software can't reach.

Your move: what you can actually do about this ↓

Where the work sits, by task weight

shifting to AI: 4%
changing shape: 8%
staying human: 88%

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

Whole-job exposure score 8 out of 100 (6–12 allowing for uncertainty): minimal exposure, across 22 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 septic tank servicers and sewer pipe cleaners is rated on five dimensions: can a model produce the output, does the work need a body in a room, does it need a legally accountable person, does it depend on a person being trusted in the moment, and how much data exists. A published formula turns those five ratings into the score; the model never writes the number.

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

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

What shifts is requisitioning or ordering tools and equipment: the paper around the work, not the work.

Your week, as this page understands it

Clean and repair septic tanks, sewer lines, or drains. May patch walls and partitions of tank, replace damaged drain tile, or repair breaks in underground piping. The job title says “septic tank servicers” or “sewer pipe cleaners”: officially one job, two names. The real job is the part underneath: driving trucks to transport crews. 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 septic tank servicers and sewer pipe cleaners is not one task. It is 22 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is driving trucks to transport crews, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 4%
changing shape: 8%
staying human: 88%

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.

2 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

1 task

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.

Requisitioning or ordering tools and equipment
This is reading one thing and writing another: tools in, a record out. That is the shape today's tools are built for.
importance 3 · Supplemental
Source: “Requisition or order tools and equipment.” (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: Ordering tools and equipment is routine purchasing paperwork that software can prepare and track.
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

2 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.

Preparing and keeping records of actions taken
The software now makes the first pass at records of actions taken, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Prepare and keep records of actions taken, including maintenance and repair work.” (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: Writing up what maintenance and repair work was done is routine record-keeping that software drafts and files well.
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 0/4 · how much data exists 3/4.
Updating sewer maps and manhole charts
The software now makes the first pass at sewer maps, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 3 · Supplemental
Source: “Update sewer maps and manhole charts.” (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: Updating sewer maps and manhole charts is desk work in mapping software, which handles much of the drawing already.
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 0/4 · how much data exists 3/4.

Staying human

19 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.

Driving trucks to transport crews
This work happens in the physical world: trucks, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Drive trucks to transport crews, materials, and equipment.” (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: Driving a truck with crew and equipment to a site is physical work behind the wheel.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Communicating with supervisors and other workers
This work happens in the physical world: supervisors, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Communicate with supervisors and other workers, using equipment such as wireless phones, pagers, or radio telephones.” (O*NET task statement)
How this row was scored
Exposure score: 4 out of 100 (0–11 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: Radio and phone calls from a job site describe what the crew can see right there, which software cannot observe.
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 1/4.
Cleaning and repairing septic tanks
This work happens in the physical world: septic tanks, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Clean and repair septic tanks, sewer lines, or related structures such as manholes, culverts, and catch basins.” (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: Cleaning and repairing tanks, sewers and manholes is physical work in and around the structures.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Servicing, adjusting and making minor repairs to equipment, machines and attachments
This work happens in the physical world: minor repairs, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Service, adjust, and make minor repairs to equipment, machines, and attachments.” (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: Adjusting and repairing machines and attachments is hands-on mechanical work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Operating sewer cleaning equipment, including power rodders, high-velocity water jets, sewer flushers, bucket machines, wayne balls and vac-alls
This work happens in the physical world: sewer cleaning equipment, including power rodders, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Operate sewer cleaning equipment, including power rodders, high-velocity water jets, sewer flushers, bucket machines, wayne balls, and vac-alls.” (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: Running rodders, jetters and vacuum trucks is hands-on operation of heavy equipment.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Inspecting manholes to locate sewer line stoppages
This work happens in the physical world: manholes, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Inspect manholes to locate sewer line stoppages.” (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: Opening and looking down a manhole to find a blockage means being at the manhole.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Digging out sewer lines manually
This work happens in the physical world: sewer lines, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Dig out sewer lines manually, using shovels.” (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: Digging out a sewer line with a shovel is manual labor.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 0/4.

Show the other 12 tasks

Ensuring that repaired sewer line joints are tightly sealed before backfilling begins
staying human
This work happens in the physical world: repaired sewer line joints are tightly sealed, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Ensure that repaired sewer line joints are tightly sealed before backfilling begins.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Checking a joint is properly sealed before backfilling means looking at and handling the joint in the trench.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Withdrawing cables from pipes and examining them for evidence of mud
staying human
This work happens in the physical world: cables, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Withdraw cables from pipes and examine them for evidence of mud, roots, grease, and other deposits indicating broken or clogged sewer lines.” (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: Pulling cables out and examining what came back on them is physical inspection at the pipe.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Installing rotary knives on flexible cables mounted on machine reels
staying human
This work happens in the physical world: rotary knives, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Install rotary knives on flexible cables mounted on machine reels, according to the diameters of pipes to be cleaned.” (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: Fitting rotary knives onto cables is hands-on assembly at the machine.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Measuring excavation sites, using plumbers' snakes, tapelines or lengths of cutting heads within sewers and marking areas
staying human
This work happens in the physical world: excavation sites, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Measure excavation sites, using plumbers' snakes, tapelines, or lengths of cutting heads within sewers, and mark areas for digging.” (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: Measuring a dig site and marking the ground means being on site with tools.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Locating problems
staying human
This work happens in the physical world: problems, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Locate problems, using specially designed equipment, and mark where digging must occur to reach damaged tanks or pipes.” (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: Tracing a fault with locating gear and marking where to dig requires standing on the ground above the pipe.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Starting machines to feed revolving cables or rods into openings
staying human
This work happens in the physical world: machines, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Start machines to feed revolving cables or rods into openings, stopping machines and changing knives to conform to pipe sizes.” (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: Feeding cables into a pipe and swapping knives is physical operation of the machine.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Cutting damaged sections of pipe with cutters
staying human
This work happens in the physical world: damaged sections of pipe, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Cut damaged sections of pipe with cutters, remove broken sections from ditches, and replace pipe sections, using pipe sleeves.” (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: Cutting out and replacing pipe sections is physical work in the excavation.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Breaking asphalt and other pavement so that pipes
staying human
This work happens in the physical world: asphalt, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Break asphalt and other pavement so that pipes can be accessed, using airhammers, picks, and shovels.” (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: Breaking pavement with an air hammer or pick is heavy physical work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 0/4.
Covering repaired pipes with dirt
staying human
This work happens in the physical world: repaired pipes, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Cover repaired pipes with dirt, and pack backfilled excavations, using air and gasoline tampers.” (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: Backfilling and tamping a trench is heavy manual work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 0/4.
Rotating cleaning rods manually, using turning pins
staying human
This work happens in the physical world: rods, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Rotate cleaning rods manually, using turning pins.” (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: Turning cleaning rods by hand with turning pins is manual work at the pipe.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 0/4.
Cleaning and disinfecting domestic basements and other areas flooded by sewer stoppages
staying human
This work happens in the physical world: domestic basements, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Clean and disinfect domestic basements and other areas flooded by sewer stoppages.” (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: Cleaning and disinfecting a flooded basement is physical work in the property.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 1/4.
Tapping mainline sewers to install sewer saddles
staying human
This work happens in the physical world: mainline sewers, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Tap mainline sewers to install sewer saddles.” (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: Tapping a mainline sewer to fit a saddle is hands-on work.
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 0/4 · how much data exists 1/4.

What this job pays, and how many people do it

Median pay: $49,880a 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: 30,650in 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: records of actions taken in, a record out. The rows above are exactly that shape: requisitioning or ordering tools and equipment and preparing and keeping records of actions taken. What it cannot do is be there in the room, and that is still where trucks get done. Which is why this page talks about your tasks changing, not your job ending.

Your move

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

Start with what does not change: driving trucks to transport crews is the middle of this job, and the evidence on this page says it stays with a person.

So, given all that: 4% of this job's task weight sits in rows the software is already learning, 8% in rows that change shape rather than disappear, and 88% in rows it is nowhere near. That is the position, measured across 22 scored tasks. It is not a forecast about you.

So the thing worth your attention is not the job going away. It is the layer around it. Requisitioning or ordering tools and equipment is the part turning into software, and being the person who understands that layer is worth money.

This week: one thing

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

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

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

Over the next 90 days

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

Over the next 12 months

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

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

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

I checked the 12 nearest US occupations to septic tank servicers and sewer pipe cleaners (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was highway maintenance workers: only about 9% of its durable work is work you already do. And on the numbers you do not need one. This job scores 8/100 here, with only 4% of the task list in the top band, and “drive trucks to transport crews, materials, and equipment” 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.

Highway Maintenance Workers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already drive trucks to transport crews, materials, and equipment, and their equivalent is to drive trucks to transport crews and equipment to work sites. Across both published task lists that is about 9% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 9% of the durable side of that job. That is a different job, not a next step.
Look at that job’s page anyway →
Farm Equipment Mechanics and Service Technicians
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already service, adjust, and make minor repairs to equipment, machines, and attachments, and their equivalent is to reassemble machines and equipment following repair, testing operation and making adjustments, as necessary. Across both published task lists that is about 5% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 5% of the durable side of that job. That is a different job, not a next step.
Look at that job’s page anyway →
Paving, Surfacing, and Tamping Equipment Operators
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already drive trucks to transport crews, materials, and equipment, and their equivalent is to drive machines onto truck trailers, and drive trucks to transport machines and material…. 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: 4% of its task weight, across 22 scored tasks. Every row behind it is printed above with the source. Check ours; ignore theirs.
The headlines about your trade disappearing
They are usually about the technology, not the timetable. Changes to work like driving trucks to transport crews arrive through rules, insurance and money, slowly and visibly. This page tracks the task evidence and will move when it moves.
Retraining out of a job that is holding up
On this evidence I would not spend money leaving. Spend it on the layer around the job instead: the tools, the paperwork, the planning. That is where the change actually is.
The “obvious” next job everyone suggests
I checked the obvious moves and most of them did not survive. The reasons are printed with the routes above, including the pay and the gate. A move that fails on the numbers is worth knowing about so you can stop turning it over at night.

You are reading the United States figures

The United Kingdom splits this work across more than one official group, of which Elementary cleaning occupations n.e.c. 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 Elementary cleaning occupations n.e.c., Construction operatives n.e.c. and Industrial cleaning process occupations. 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.

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Why there is no community here

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Noted, and thank you. We’ll email you if a Space for septic tank servicers / sewer pipe cleaners launches. Nothing else.

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Questions people ask about this job

Will AI replace Septic Tank Servicers and Sewer Pipe Cleaners?: Not as a job, but it is already doing parts of the work. Across the 22 official task statements scored for Septic Tank Servicers and Sewer Pipe Cleaners (United States, SOC 47-4071), 4% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 8 out of 100 (range 6–12, band: minimal). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.
Which tasks in “Septic Tank Servicers and Sewer Pipe Cleaners” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Requisition or order tools and equipment” (64/100, high); “Prepare and keep records of actions taken, including maintenance and repair work” (56/100, partial); “Update sewer maps and manhole charts” (56/100, partial). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.
Which tasks in “Septic Tank Servicers and Sewer Pipe Cleaners” stay human?: About 88% 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: “Tap mainline sewers to install sewer saddles” (0/100, minimal); “Clean and disinfect domestic basements and other areas flooded by sewer stoppages” (0/100, minimal); “Rotate cleaning rods manually, using turning pins” (0/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.
What should someone working in “Septic Tank Servicers and Sewer Pipe Cleaners” do about AI?: Start from the ledger rather than the headline: 4% of this job's weighted core work is exposed, and roughly 88% 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 Septic Tank Servicers and Sewer Pipe Cleaners 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 22 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.
2 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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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.