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Will AI replace control and valve installers and repairers, except mechanical door?

Nah.

Most of the work is hands-on field repair: setting valves, testing lines under pressure and calibrating regulators by hand. This job scores 83 out of 100 on (higher is safer). Today people do 8% of the work with AI’s help, and 92% still needs a person.

Updated 3 October 2026 49-9012 5224 2026-Q4
Installation, Maintenance, and RepairControl and Valve Installers and Repairers, Except Mechanical Door49-9012 · 2026-Q4
0% AI does it8% AI helps92% needs a human
Your job's name, lit by the work that still needs a human.Needs a human 92%AI helps 8%AI does it 0%

AI does it: AI can do the task largely by itself. AI helps: a person still does it, faster with AI. Needs a human: AI can do little of it yet.

Why valve work stays out in the field

Ask will AI replace valve installers, and the answer starts with where the hours go. This trade sets, tests and repairs valves, regulators and meters on gas lines, water mains and plant piping. The work happens in basements, vaults, pits, trenches and process units. Someone has to get to the fitting, shut the line down safely, and put hands on it.

Two tasks show the problem for software. Testing a line for leaks means working with live pressure, listening, smelling, and using instruments on equipment that is often decades old and poorly documented. Changing out or calibrating a regulator means torque, thread sealant, alignment and a visual check that the seat is seating. Neither is a question a model can answer from a desk.

That is why 92% of task time sits in work that still needs a person on site. The share, the task split and the full list are printed above this text.

What AI does, what it helps with, and what people keep

AI handles the paper side of the job first. Writing up test results, filling service records, pulling part numbers and spec sheets, and sorting work orders are all text and data tasks. 0% of task time falls in that group.

A larger slice is assisted rather than taken. 8% of task time is work where a tool speeds up a person: reading schematics and valve drawings, turning telemetry from smart meters and control systems into a likely fault, and checking a repair against the manufacturer’s procedure. Predictive maintenance software can flag a regulator that is drifting before it fails. It cannot swap the regulator.

Everything physical stays with the technician. That includes pipe fitting and threading, pressure and leak testing, confined-space entry, and talking a customer through a gas shutoff at their house. The coverage score (Can AI do it?) is 9 out of 100, and you can read how that figure is built on the coverage method page.

What the evidence actually shows

There is no direct head-to-head test of AI against a control and valve technician yet. The evidence grade for this job is D, and a grade of D means parity has not been measured, so no parity number is given here or in the panel above. General language-model benchmarks say nothing useful about a meter set in a crawl space.

What would settle it is narrow and testable: a field trial in which a robot or AI system completes a set of real jobs, such as meter change-outs, regulator calibration and a code-compliant leak test, scored by the same inspectors who sign off on human work. Until something like that is published, the honest position is uncertainty about quality, not confidence in either direction. Our scoring rules and grades are set out in the method.

The labor data is firmer. BLS counts 48,240 people in this occupation, with median pay of $74,340 and projected employment growth of 4.3% from 2025 to 2035 (BLS, 2025). That is a small, steady trade, not one being cut back.

When this could change

Most likely after 2045 (8 in 10 of our scenarios). What that range measures is explained on the replacement-year method page.

Two things could pull the date earlier. The first is hardware: the robotics tier this job needs is a dexterous humanoid, and if machines like that get reliable and affordable for outdoor, dirty, variable sites, the picture shifts. Our guide to humanoid robots and physical jobs covers where that stands. The second is design: more remote-actuated and self-diagnosing valves mean fewer truck rolls per fault, which thins the work even if nobody is replaced.

Two things hold it back. Infrastructure is old and inconsistent, so every site is a slightly different problem, and the machine has to get to the valve before it can turn anything. Safety rules are the other brake. Work on live gas and pressurized systems is licensed, permitted and inspected, and the liability for a bad joint sits with a named person.

Good to know: the cost panel above compares AI tooling against a worker for the tasks AI can touch, which are mostly the recordkeeping ones, not the field repair.

How to stay needed

Lean into the parts of the job that stay on site. Diagnosing faults on equipment with no good documentation is one. Commissioning and calibration, where a judgment call on a reading becomes a sign-off, is another. Customer-side work, like explaining a shutoff or a failed test to someone in their home or plant, is a third.

Two skills are worth adding. Learn the control and telemetry side, so you can read what a SCADA system or smart meter is reporting and decide whether it is real. Then learn to use AI tools for the paperwork, reports and manuals lookup, so the admin stops eating your afternoons. Instrumentation and controls certifications travel well across utilities and process plants.

If you are weighing options, close trades are worth a look: Mechanical Door Repairers, Industrial Machinery Mechanics and Heating, Air Conditioning and Refrigeration Mechanics and Installers. The wider other installation, maintenance and repair occupations family page shows how they sit together, and the utilities sector page covers the employers most likely to hire you.

This job scores 83 out of 100 (higher is safer) on Still needs a human. To see how that compares, put it next to another trade on the compare tool, or scan the list of jobs that mostly need a person.

Frequently asked questions

Will AI replace plumbers in the future?

Plumbing has the same shape as valve work: the diagnosis, the access and the repair all happen on site, in buildings that rarely match the drawings. Software is taking the quoting, scheduling and reporting first. Expect fewer office hours per job rather than fewer plumbers. Look up plumbers in the rankings on this site to see their own task split and score.

How is AI used in plumbing and valve repair today?

Mostly off the tools. Contractors use it to draft estimates, write service reports, answer customer messages and search manuals and part numbers. On the technical side, predictive maintenance software reads pressure, flow and meter telemetry and flags equipment likely to fail. A technician still verifies the fault and makes the repair. The task list above shows which of those sit in the assisted group.

Do smart valves reduce the need for technicians?

They change the work more than the count. Remote-actuated and self-reporting valves cut routine trips for reading and manual operation, and they shift effort toward installation, commissioning and network troubleshooting. Someone still installs the device, wires or pairs it, tests it and fixes it when it fails. Over time this can mean more work per technician and fewer simple callouts.

Could a robot do valve installation and repair?

Not in the field conditions this trade works in. The job happens in vaults, trenches, crawl spaces and process units, often on old equipment with poor records. A machine would need to reach the fitting, apply controlled torque, seal a joint and pass a leak test to code. The robotics panel above shows the capability tier that would be required.

Is control and valve work a good trade to enter?

The labor data is solid. BLS counts 48,240 workers in the occupation, with median pay of $74,340 and projected growth of 4.3% between 2025 and 2035 (BLS, 2025). Entry usually runs through an apprenticeship, utility training program or a related mechanical trade. Adding instrumentation and controls knowledge early makes you useful on both the pipe and the data side.

Each ridge is a slice of the job's task time.Needs a human 92%AI helps 8%AI does it 0%
The job’s mark

No two jobs leave the same print

Every job gets its own fingerprint, drawn from its code. The amber ridges are the share of task time that still needs a person. Below them, the same ridges are written out in ones and zeros: slate for the work AI helps with, white for the work AI can do.

Control and Valve Installers and Repairers, Except Mechanical Door, O*NET-SOC 49-9012. 92% of the job’s task time still needs a human, so 92 of every 100 ridges are amber; slate is what AI helps with, white what AI can do.

What AI can and cannot do

The tasks that make up the job, from , and where AI stands on each today: , (a person does it, with AI speeding it up) or . 92% of the still needs a human.

Each block is one task; its height is its share of working time.Needs a human 92%AI helps 8%AI does it 0%
The job's task list: the parts AI can do are blacked out.Needs a human 92%AI helps 8%AI does it 0%
Record maintenance information, including test results, material usage, and repairs made.AI helps
Disassemble and repair mechanical control devices or valves, such as regulators, thermostats, or hydrants, using power tools, hand tools, and cutting torches.Needs a human
Lubricate wearing surfaces of mechanical parts, using oils or other lubricants.Needs a human
Calibrate instrumentation, such as meters, gauges, and regulators, for pressure, temperature, flow, and level.Needs a human
Install, inspect and test electric meters, relays, and power sources to detect causes of malfunctions and inaccuracies, using hand tools and testing equipment.Needs a human
Test valves and regulators for leaks and accurate temperature and pressure settings, using precision testing equipment.Needs a human
Record meter readings and installation data on meter cards, work orders, or field service orders, or enter data into hand-held computers.AI helps
Turn meters on or off to establish or close service.Needs a human
Shut off service and notify repair crews when major repairs are required, such as the replacement of underground pipes or wiring.Needs a human
Install regulators and related equipment such as gas meters, odorization units, and gas pressure telemetering equipment.Needs a human
Cut seats to receive new orifices, tap inspection ports, and perform other repairs to salvage usable materials, using hand tools and machine tools.Needs a human
Turn valves to allow measured amounts of air or gas to pass through meters at specified flow rates.Needs a human
Report hazardous field situations and damaged or missing meters.Needs a human
Vary air pressure flowing into regulators and turn handles to assess functioning of valves and pistons.Needs a human
Examine valves or mechanical control device parts for defects, dents, or loose attachments, and mark malfunctioning areas of defective units.Needs a human
Mount and install meters and other electric equipment such as time clocks, transformers, and circuit breakers, using electricians' hand tools.Needs a human
Connect regulators to test stands, and turn screw adjustments until gauges indicate that inlet and outlet pressures meet specifications.Needs a human
Investigate instances of illegal tapping into service lines.Needs a human
Trace and tag meters or house lines.Needs a human
Repair electric meters and components, such as transformers and relays, and replace metering devices, dial glasses, and faulty or incorrect wiring, using hand tools.Needs a human
Replace defective parts, such as bellows, range springs, and toggle switches, and reassemble units according to blueprints, using cam presses and hand tools.Needs a human
Measure tolerances of assembled and salvageable parts for conformance to standards or specifications, using gauges, micrometers, and calipers.Needs a human
Clean internal compartments and moving parts, using rags and cleaning compounds.Needs a human
Dismantle meters, and replace or adjust defective parts such as cases, shafts, gears, disks, and recording mechanisms, using soldering irons and hand tools.Needs a human
Disconnect or remove defective or unauthorized meters, using hand tools.Needs a human
Attach air hoses to meter inlets, plug outlets, and observe gauges for pressure losses to test internal seams for leaks.Needs a human
Make adjustments to meter components, such as setscrews or timing mechanisms, so that they conform to specifications.Needs a human
Repair leaks in valve seats or bellows of automotive heater thermostats, using soft solder, flux, and acetylene torches.Needs a human
Splice and connect cables from meters or current transformers to pull boxes or switchboards, using hand tools.Needs a human
Advise customers on proper installation of valves or regulators and related equipment.Needs a human
Clean plant growth, scale, paint, soil, or rust from meter housings, using wire brushes, scrapers, buffers, sandblasters, or cleaning compounds.Needs a human
Connect hoses from provers to meter inlets and outlets, and raise prover bells until prover gauges register zero.Needs a human

Is it better than a person? The evidence

No direct test against people in this job yet. Every study is , and vendor studies are labelled as such.

When could it be replaced?

When AI could largely do this job: no sooner than 2045

Most likely after 2045 (8 in 10 of our scenarios). A range from our of how fast AI improves, how fast employers take it up and what holds it back, not a forecast that the job ends. “” has a strict meaning here. Today’s answer is at the top of the page; this is how it could change.

The sand is the human working years left, measured in the same 40-year glass for every job, so a safe trade starts nearly full and an exposed job with a thin layer.

The sand is the human working years left, in the same 40-year glass for every job.Years still needing a humanYears run out

How this job could shift, year by year

Where the job could sit on our scale each year to 2060, across the ten behind its .

Today
Will AI replace this job?
Nah.
By 2045
20%
of our scenarios have AI largely doing this job by 2045 (Largely.)
10% still have it mostly needing a person (A little. or Nah.)
By 2060
90%
of our scenarios have AI largely doing this job by 2060 (Largely.)
10% still have it mostly needing a person (A little. or Nah.)

We run this job as ten scenarios spread across its replacement range. In each, the score moves towards the bottom band (Largely: AI could largely do the job) by the year that scenario reaches it, slowly at first and faster later, as adoption usually goes. Each bar splits the ten by the band they put the job in. The model stops at 2060. How the timeline works

Share of this job's scenarios in each verdict band, today to 20600%25%50%75%100%2026: 100.0% of scenarios: this job mostly needs a person (Nah.)100%Today2030: 50.0% of scenarios: this job mostly needs a person (Nah.)50%2030: 50.0% of scenarios: AI could do a little of this job (A little.)50%20302035: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2035: 70.0% of scenarios: AI could do a little of this job (A little.)70%2035: 20.0% of scenarios: AI could partly do this job (Partly.)20%20352040: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2040: 20.0% of scenarios: AI could do a little of this job (A little.)20%2040: 40.0% of scenarios: AI could partly do this job (Partly.)40%2040: 30.0% of scenarios: AI could mostly do this job (Mostly.)30%20402045: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2045: 30.0% of scenarios: AI could partly do this job (Partly.)30%2045: 40.0% of scenarios: AI could mostly do this job (Mostly.)40%2045: 20.0% of scenarios: AI could largely do this job (Largely.)20%20452050: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2050: 50.0% of scenarios: AI could mostly do this job (Mostly.)50%2050: 40.0% of scenarios: AI could largely do this job (Largely.)40%20502055: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2055: 20.0% of scenarios: AI could mostly do this job (Mostly.)20%2055: 70.0% of scenarios: AI could largely do this job (Largely.)70%20552060: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2060: 90.0% of scenarios: AI could largely do this job (Largely.)90%2060
Will AI replace the job?Largely.Mostly.Partly.A little.Nah.
Share of this job's scenarios in each band, year by year. Updated with every release.
Show the data
YearLargelyMostlyPartlyA littleNah
Today (2026)0.0%0.0%0.0%0.0%100.0%
20300.0%0.0%0.0%50.0%50.0%
20350.0%0.0%20.0%70.0%10.0%
20400.0%30.0%40.0%20.0%10.0%
204520.0%40.0%30.0%0.0%10.0%
205040.0%50.0%0.0%0.0%10.0%
205570.0%20.0%0.0%0.0%10.0%
206090.0%0.0%0.0%0.0%10.0%

What’s stopping AI taking over?

The things that keep this work with people, strongest first. Each is scored 0 to 100 from work context, licensing and the evidence we have.

LiabilityMistakes are rated 3.8 out of 5 for consequence and decisions 3.9 out of 5 for impact; someone has to answer for them.
Clients want a personFace-to-face contact is rated 4.9 and physical closeness 3.6 out of 5; caring for or serving people is 3.0 out of 5 in importance.
Evidence gapNo study yet compares AI with people doing this job, so employers have no proof it is good enough.
Physical work86% of the task time is physical; robots have been shown on 77% of that time.
RegulationWorkers rate responsibility for others' health and safety 4.1 out of 5.
LicensingUsual entry requirement (BLS): high school diploma or equivalent, then moderate-term on-the-job training.

What would it cost to hand the work to AI?

The share of the year AI could handle (191 of 2,080 hours a year), priced two ways. Both are ranges, not quotes.

AI model usage, a year
$20–$1,910
A person’s wage for the same hours
$4,220–$10,350

AI cost covers model usage only: no integration, licences, oversight or the human time still needed to review the work. Human cost is the wage for the same hours, without benefits or overheads. As of 2026-10.

Robots and humanoids

AI software can only take the work at a screen. The rest needs a robot that can do it.

86%
of the task time is physical work
Dexterous humanoid
the kind of robot the physical work would need
Not commercial: no cited robot does most of this work; humanoids are at demonstration and pilot stage.

Source: Anthropic Economic Index, 'What work can robots do?' (30 September 2026); O*NET 31.0 task weights.

Which AI skills does this job lean on?

The job’s task time split by what an AI model would need to be good at, and where models stand today.

Each star is a task, grouped by the AI skill it leans on.Needs a human 92%AI helps 8%AI does it 0%
Writing · 11.2% of time
Strong
Drafts, edits and translates most routine documents at professional quality.
Analysis · 2.7% of time
Strong
Reliable on structured data and rules; uneven on judgement calls with thin information.
Coding · 0% of time
Strong
Agents complete many routine software tasks end to end; larger systems still need people.
Vision and design · 0% of time
Good
Reads documents, images and layouts well; specialist imaging needs dedicated, approved tools.
Speech · 2.8% of time
Good
Voice agents handle routine calls and live interpreting; complex or sensitive calls still go to people.
Planning and agents · 0% of time
Emerging
Multi-step agents work in narrow, well-tooled workflows; open-ended coordination is unreliable.
Physical manipulation · 83.4% of time
Early
Robots handle structured, repetitive handling; general dexterity outside fixed settings is not commercial.
Care and persuasion · 0% of time
Limited
Can script, coach and advise; trust, presence and accountability still need a person.
Amber matter holds its orbit, slate circles the inner disc, white falls in.Needs a human 92%AI helps 8%AI does it 0%
How exposed is it?

Still needs a human: 83/100↑ safer

The amber matter on the outside holds its orbit: that is the task time that still needs a person. The slate matter circling the inner disc is the work AI helps with. The white matter is the share AI can do; it spirals in and is gone over the edge.

The matter follows the job’s task split: 92% needs a human, 8% AI helps, 0% AI does it. Still needs a human: 83/100 ↑ safer. Will AI replace them? Nah.

What the AIs say

We asked four AI assistants the same question: will AI replace this job in the next 10 years? One word (Yes, Partly or No), then one sentence. Our own answer, from the data: Still needs a human: 83/100 ↑ safer. Will AI replace them? Nah.

ChatGPTPartly

AI and automation may reduce some repetitive planning, diagnostics, and installation tasks, but skilled valve installers will still be needed for on-site judgment, hands-on work, safety, and complex problem-solving.

gpt-5.5-2026-04-23 · asked 2026-10-03
ClaudeNo

Valve installation requires physical dexterity, spatial reasoning in unpredictable environments, and hands-on manipulation of hardware in confined or hazardous spaces—capabilities that remain far beyond current robotics and AI, especially at the cost and flexibility needed to replace human tradespeople within a decade.

claude-sonnet-5 · asked 2026-10-03
GeminiPartly

While AI will improve design, diagnostic, and monitoring tasks, physical valve installation still requires complex manual dexterity, real-time spatial problem-solving, and adaptability to unpredictable job-site environments that robotics cannot fully replicate within the next decade.

gemini-3.8-flash · asked 2026-10-03
PerplexityPartly

AI will automate diagnostics, monitoring, and documentation, but physical installation, troubleshooting, and safety-critical judgment will still require human valve installers.

sonar · asked 2026-10-03

Assistants answer from what they learned in training (Perplexity also searches the web), so they can be confidently wrong, and the same question can get a different answer tomorrow. Our score is built from task data and graded evidence. Answers collected through DataForSEO.

Cite this page

NeedsAHuman.com (2026). Will AI replace Control and Valve Installers and Repairers, Except Mechanical Door? Nah. Still needs a human: 83/100, higher is safer; release 2026-Q4. https://needsahuman.com/jobs/control-and-valve-installers-and-repairers-except-mechanical-door/ (accessed 4 October 2026).

Scores change with each , so cite the release. The data is open under : credit NeedsAHuman.com with a link. Open data · Press

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Sources

  • Tasks and work context: 31.0, ().
  • Jobs, pay and projections: US , and 2025–35.
  • How AI is used today: ; Microsoft Research, .
  • What AI can do: our task ratings ( r1) and the quality evidence register.
  • UK names and employment: coding index and .

How each score is built: methodology. Every figure on this page: open data. Release 2026-Q4.