EXPOSED
The work is hands-on: threading filaments through spinnerets, changing dies and bushings, clearing broken ends, doffing packages, and adjusting temperature, draw ratio, and winder speed on continuous fiber lines. Language AI barely touches this, but the plant-floor automation that already runs modern spinning lines does — inline vision inspection, closed-loop process control, and automated doffing steadily cut the operator-to-machine ratio. There is no license, no signature, and no customer relationship protecting the role; what protects it is the awkward physical reality of hot polymer, glass bushings, and thousands of fragile filaments.
This fall is concentrated in 2020 and has not recovered since.
Median pay $36,110 → $46,350 +2.7% 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
-1.1%
Percentage only. The projection counts a different population from the 12,850 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Exposed, and shrinking
Both signals point the same way: the tasks are largely automatable and the BLS projects -1.1% by 2034. This is the case where the score and the forecast agree, and it is the one worth taking seriously.
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.
~2,000 openings a year on average, including replacing people who leave.
SpinnerExtruderGranulatorPot TipperBox SpinnerBeamer OperatorHot End OperatorMachine OperatorStretch OperatorExtruder OperatorSpindraw OperatorTest Skein WinderDrawbench OperatorExtrusion OperatorPelletizer OperatorExtrusion TechnicianFiber Machine TenderSpinning Bath PersonExtrusion Line OperatorSpinning Bath PatrollerBeaming Machine OperatorSynthetic Staple ExtruderExtrusion Machine OperatorExtrusion Process Operator
Holding it up: embodiment . Weakest point: liability shield .
Mixed — a routine tier and a judgment tier String-up after a break, feeling denier by hand at the godet, and judging when a bushing is drifting are still manual on most lines — but setpoint recipes, closed-loop tension and temperature control, and automated doffing on newer spinning positions have already absorbed a large share of the shift, which is why this sits at 11 rather than up with millwrights.
Hands-on in uncontrolled environments You work within arm's reach of 250-300°C melt, glass bushings at bushing temperature, and steam-hot quench air, threading filament bundles by hand at the winder and hauling packages — an uncontrolled, hot, moving environment that no arm has been cheaply retrofitted into, held below the high teens only because the work happens on a fixed line rather than roaming a site.
No licence, no signature requirement No state license, no certification requirement, no signed record follows you; OSHA lockout/tagout and PPE rules bind the employer, and any fiber defect claim lands on the plant's quality system, not your name — the 2 reflects only that you may hold in-house forklift or confined-space cards.
Executes defined procedures on defined inputs Your calls are bounded by the recipe sheet and control limits — bump the winder speed, pull a position, escalate to the process engineer — so real discretion exists on when to down a position mid-shift, but the draw ratio and temperature profile were decided by someone else.
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 (11/20 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 (2/20) is whether the law requires a licensed human to sign. Trust premium (3/20) is whether buyers specifically pay for a person. Judgment and accountability (6/20) 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 11 of this occupation's 37 points (30%).
Embodiment (15/20) 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.
Furniture Finishers EXPOSED
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 48/100, still EXPOSED.
Task-mix shift within the occupation: as inline vision inspection, closed-loop draw/temperature control and automated doffing absorb steady-state tending, what remains on a line is string-up after a break, spinneret/bushing changeover, startup transients and diagnosing filament breaks of unknown cause — the tier automation handles worst. Watch for the operator-to-machine ratio falling while job postings shift to 'process technician' with troubleshooting and changeover as the core duties (already visible at carbon fiber and glass bushing plants).
Formal scrap/hold and process-deviation authority vested in the named operator under AS9100/Nadcap-audited traceability for aerospace-grade carbon fiber and defense precursor lines: the operator records and owns the disposition of an out-of-spec tow lot rather than a supervisor or the control system. Watch for customer (e.g. airframer or dialyzer maker) audit requirements naming operator-level deviation sign-off.
Not a professional license, but a documented-qualification regime with a personal signature: FDA 21 CFR 820 process-validation records for hollow-fiber dialysis membrane, or Nadcap-certified operator qualification for aerospace composite precursor, requiring a specific qualified individual to sign each batch/changeover record and be re-certified. This raises the shield modestly; it does not create personal legal liability.
The limit. There is no realistic route to a trust premium — buyers purchase tow, roving and yarn to spec and never learn who ran the line, so no plausible change makes them pay for a human operator. Embodiment is already near the top of what this work supports and will fall, not rise, as automated doffing and robotic bushing handling mature. Even with every lever above, the occupation stays capability-exposed: the binding constraint is plant capital spending, not law.
| Dalton, GA | 860 | $45,610 -2% |
| Atlanta-Sandy Springs-Roswell, GA | 590 | $58,980 +27% |
| Charlotte-Concord-Gastonia, NC-SC | 580 | $40,310 -13% |
| Augusta-Richmond County, GA-SC | 500 | $42,380 -9% |
| Dallas-Fort Worth-Arlington, TX | 220 | $59,330 +28% |
| Wilmington, NC | 210 | — |
| Chattanooga, TN-GA | 200 | $48,900 +6% |
| Hickory-Lenoir-Morganton, NC | 190 | $35,890 -23% |
| Kingsport-Bristol, TN-VA | 100 | $71,610 +54% |
| Mobile, AL | 130 | $63,900 +38% |
| Minneapolis-St. Paul-Bloomington, MN-WI | 80 | $63,760 +38% |
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 37. 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.