EXPOSED
Stretching carpet over tack strips, seaming with hot-melt tape, cutting to fit around door jambs and stair nosings, and hauling out old flooring in occupied homes is work no current robot performs — the automatable slice is quoting, measuring math, and scheduling. What holds the score down is the absence of a licensing regime or personal liability signature, so nothing regulatory protects the trade; the real threats are cheap labor competition and the shift toward LVP and click-lock flooring, not software. Scored for the modal installer working residential jobs for a retailer or small flooring contractor.
Part 2020 shock, part continued decline in the years since.
Median pay $40,090 → $50,340 +0.5% in real terms
This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.
So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing. The marked year is 2020.
BLS projection, 2024–2034
-9.6%
Percentage only. The projection counts a different population from the 13,780 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Shrinking, but not obviously because of AI
The BLS projects -9.6% by 2034, but at 60/100 this work is only moderately exposed — not the profile of a job current AI can simply do. Occupations shrink for many reasons, and the score does not point at automation as this one's cause.
Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.
~1,100 openings a year on average, including replacing people who leave.
InstallerRug LayerCarpet LayerFloor CovererCarpet MechanicCarpet InstallerFloor TechnicianCarpet TechnicianCarpet Tile LayerFlooring InstallerFloor Coverer InstallerSubcontractor InstallerFloor Covering InstallerCommercial Carpet InstallerFloor Installation MechanicResidential Carpet InstallerWall-to-Wall Carpet InstallerCarpet Installation SpecialistCommercial Floor Covering InstallerCarpet Cleaning Tech (Carpet Cleaning Technician)
Holding it up: embodiment . Weakest point: liability shield .
Tasks largely resist digitisation Kicking a power stretcher against a wall, reading where a subfloor dips, hand-scribing a fill piece around a toilet flange, and rolling seams with a hot iron all depend on force feedback and improvisation that no machine sells today — only the takeoff, square-footage math, and job routing come off your plate, which is why this sits at 18 and not a full 20.
Hands-on in uncontrolled environments You are on your knees in someone's occupied bedroom, working around furniture you just moved, in unconditioned new construction or a 90-year-old house with out-of-square walls and staples from the last three carpets — there is no controlled cell to build a robot into, hence the ceiling score.
No licence, no signature requirement No state licenses carpet installation; the retailer's contractor license and the manufacturer's warranty absorb callbacks, and a failed seam or a stretch that buckles in August comes back as a rework ticket, not a claim against your personal credential — the 3 rather than 0 reflects only that some jurisdictions require a general contractor registration for the shop you work under.
Meaningful discretion Deciding where to place seams away from traffic and light, whether a subfloor needs patching before you lay pad, and how much to stretch given the carpet's backing are calls you make alone on site with money on the line — but the pattern is bounded by CRI-104/105 practice and the manufacturer's install spec, which keeps this in the middle band rather than higher.
The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.
Your task mix speaks to task resistance (18/20 here) — how much of the day's work current AI already does. That is the dimension the boxes above are about.
It cannot move the other three. Liability shield (3/20) is whether the law requires a licensed human to sign. Trust premium (10/20) is whether buyers specifically pay for a person. Judgment and accountability (9/20) is whether the role exists to own consequential calls. Those are facts about the occupation's standing, not about which tasks are in your week — a paralegal who does only trial exhibits still holds no licence. Together they are 22 of this occupation's 60 points (37%).
Embodiment (20/20) is also a property of the work rather than the worker, but we don't tag individual tasks as physical or not, so the picker can't tell you anything about it. That's a limit of this tool, not a claim.
Did we get the list right? Tell us what's missing — the tasks are written from the outside, and you're reading this from the inside.
The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 77/100 — SAFE.
Adoption of asbestos and lead-safe work practice rules to resilient flooring removal in pre-1980 housing — EPA RRP already covers lead paint disturbance, and old vinyl sheet backing and cutback adhesive are common asbestos-containing materials. If the installer becomes the person who must decide whether a tear-out triggers abatement, the identification call carries regulatory consequence.
Extension of specialty flooring contractor licensing (modeled on California's C-15 Flooring and Floor Covering Contractors license) to states where flooring work currently falls under a general handyman exemption, combined with a permit-level requirement that the licensee's number appear on the invoice for jobs above a dollar threshold. This creates a nameable person carrying bond and personal disciplinary exposure.
Manufacturer warranties conditioned on installation by an installer holding CFI (International Certified Flooring Installers) or INSTALL credentials, so that a homeowner buying a warrantable carpet must buy a credentialed human's labor. Mohawk and Shaw already tie some warranty coverage to CRI-104/105-compliant installation; tightening that to named-certification enforcement would make the human a purchase requirement rather than a preference.
Insurer or manufacturer requirement that subfloor moisture testing to ASTM F2170/F1869 be documented and signed by a certified installer before adhesive or padding goes down, with the signature becoming the point of recourse in mold and delamination claims. Moisture-failure litigation over glue-down and resilient flooring is already the main driver of flooring warranty disputes.
Task-mix shift as retailer-side quoting, laser measurement, and seam layout move into software: what remains for the installer is the on-site call nobody else can make — whether the subfloor is sound enough to proceed, whether to charge back for unforeseen structural damage, whether to refuse the job. If retailers formalize an installer stop-work authority (as some union INSTALL agreements do for unsuitable substrates), the role owns a consequential ambiguous call.
The limit. Embodiment and task resistance are already near maximum, so upside is capped at the three institutional dimensions — and every lever above raises the score against software while doing nothing about the actual threats named in the profile: undocumented low-wage labor competition and the substitution of click-lock LVP for stretched-in broadloom. A licensing regime that raised liability_shield by 5 could coincide with a shrinking carpet market. Note also that credential-gated warranties tend to advantage the shop that holds the certification, not necessarily the installer doing the work as a subcontractor.
| Los Angeles-Long Beach-Anaheim, CA | 790 | $54,080 +7% |
| New York-Newark-Jersey City, NY-NJ | 620 | $64,590 +28% |
| Las Vegas-Henderson-North Las Vegas, NV | 500 | $54,850 +9% |
| Portland-Vancouver-Hillsboro, OR-WA | 360 | $57,840 +15% |
| San Diego-Chula Vista-Carlsbad, CA | 320 | $57,540 +14% |
| San Francisco-Oakland-Fremont, CA | 290 | $61,500 +22% |
| Dallas-Fort Worth-Arlington, TX | 230 | $42,610 -15% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 230 | — |
| Reno, NV | 180 | $78,080 +55% |
| Anchorage, AK | 50 | $76,790 +53% |
| St. Louis, MO-IL | 130 | $71,020 +41% |
We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.
That is worth saying out loud next to a score of 60. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.
Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.
Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.