Industry group, 3131
Fiber, Yarn, and Thread Mills
18,960 people work in this industry in the US, at mean pay of $45,180 a year (BLS, May 2025). What follows is how much of their working time the best AI models could finish, when, and in which jobs and tasks. Estimates.
of the paid hours. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
a year: 5.5 million hours at what they cost. Not a forecast of savings.
- 17%
- 5%
- 78%
of the paid hours are within reach now in tasks people already bring to Claude. Another 14% is within reach in tasks not yet seen there.
Across the US: 30% within reach now and 36% by the end of 2028, on the long-run pace at four in five. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
Share of the paid hours within reach, now to 2030
Change assumptionsHide assumptionsLong-run pace, four in five
What each choice means: , , , , . Every pace starts from .
What handing the work over would take
For the 7,450 people in jobs so far, 39% of the industry's people; the others are in the totals above and join this split as the review reaches their jobs. Shares of their working time within reach now, at the pace and reliability chosen above. Estimates. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
about 2.8 million hours a year. The material can be handed to a model and the result handed back.
about 1.2 million hours a year. The model has to be connected to the system the work lives in.
about 595,046 hours a year. Short enough by length. This site leaves conversation with people, so it is not in the totals.
What their work is made of
- 22%
- 8%
- 4%
- 7%
- 59%
Each task's time split among five kinds of doing, judged one task at a time; only documents and systems can count as within reach.
What changes for the people
For the 7,450 people in jobs reviewed task by task so far, by the end of 2028 on the long-run pace at four in five: the shares of their working time, from each job page's own map, weighted by how many people here do that job. It says which parts of the work change, never whether anyone keeps a job. Estimates.
Conversation, in-person and hands-on work.
Desk work within reach in tasks where a mistake costs something or a licensed person signs.
Desk work within reach that is small if wrong, with lighter checks.
What most people here would learn first
How many of them have each skill among the first two things to learn on their job's page. Every state, and the US
- The hands-on craft5,210 (70%)
- Reviewing work you did not do yourself3,270 (44%)
- Judgment where errors are severe2,080 (28%)
- Briefing a model and checking its drafts2,080 (28%)
- Signing off under your license720 (10%)
- Running AI inside the business systems250 (3%)
- The conversations110 (1%)
- Dealing with people outside the organization50 (1%)
How far this has come
With GPT-4, measured in March 2023, 0% of this industry's paid hours were within reach at . With Claude 3.7 Sonnet, measured in February 2025, 2%. With Claude Mythos Preview (early), measured in April 2026, 11%. Today's estimate: 15%.
A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.
Robots and the physical work
Anthropic rates 79% of the working time of the people in this industry as physical work. For 71% of the working time, a robot has been shown doing most of the task somewhere: 39% in a purpose-built cell, 32% in a structured facility. 1.03 of 3.
- Not physical 21%
- No robot shown 8%
- In a purpose-built cell 39%
- In a structured facility 32%
Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. Weighted by the people in each occupation; each job's page names the robot behind each rated task.
Where the hours are
Jobs by hours within reach now. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index. The 26 largest jobs hold 95% of the people.
| People | Pay here | |||
|---|---|---|---|---|
| Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders | 7,650 | 7% | 1.2 million | $38K |
| First-Line Supervisors of Production and Operating Workers | 780 | 48% | 773,889 | $63K |
| Inspectors, Testers, Sorters, Samplers, and Weighers | 830 | 27% | 459,222 | $37K |
| Industrial Machinery Mechanics | 1,220 | 13% | 324,813 | $48K |
| Shipping, Receiving, and Inventory Clerks | 270 | 53% | 298,210 | $41K |
| Industrial Engineers | 200 | 60% | 247,942 | $89K |
| Industrial Production Managers | 190 | 51% | 201,950 | $101K |
| Extruding and Forming Machine Setters, Operators, and Tenders, Synthetic and Glass Fibers | 1,650 | 5% | 178,464 | $43K |
| Production, Planning, and Expediting Clerks | 110 | 72% | 164,736 | $50K |
| Training and Development Specialists | 180 | 43% | 162,118 | $45K |
| Office Clerks, General | 120 | 56% | 141,024 | $39K |
| Human Resources Specialists | 100 | 63% | 130,625 | $71K |
People: BLS counts for this industry, May 2025. Pay here: the median paid for the job in this industry, else its mean, else the national median. 23 smaller jobs (790 people) count in every total but are not listed. Task data covers 92% of the industry's people; the rest are in BLS "all other" groups with no task list, or in counts BLS does not publish.
The tasks with the most hours within reach by the end of 2028
Across the whole industry, on the chosen pace and reliability.
- Study guides, samples, charts, and specification sheets, or confer with supervisors or engineering staff to determine setup requirements.Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders516,663 hours100% of the task within reach
- Notify supervisors or mechanics of equipment malfunctions.Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders366,772 hours100% of the task within reach
- Record production data such as numbers and types of bobbins wound.Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders273,846 hours100% of the task within reach
- Plan and establish work schedules, assignments, and production sequences to meet production goals.First-Line Supervisors of Production and Operating Workers183,039 hours100% of the task within reach
- Plan and develop new products and production processes.First-Line Supervisors of Production and Operating Workers169,473 hours70% of the task within reach
- Analyze test results, machine error messages, or information obtained from operators to diagnose equipment problems.Industrial Machinery Mechanics155,037 hours70% of the task within reach
- Write test or inspection reports describing results, recommendations, or needed repairs.Inspectors, Testers, Sorters, Samplers, and Weighers146,986 hours100% of the task within reach
- Read and analyze charts, work orders, production schedules, and other records and reports to determine production requirements and to evaluate current production estimates and outputs.First-Line Supervisors of Production and Operating Workers124,049 hours100% of the task within reach
- Record details of machine malfunctions.Extruding and Forming Machine Setters, Operators, and Tenders, Synthetic and Glass Fibers100,146 hours100% of the task within reach
- Determine standards, budgets, production goals, and rates, based on company policies, equipment and labor availability, and workloads.First-Line Supervisors of Production and Operating Workers92,120 hours100% of the task within reach
Scan a typical company in this industry
The industry's largest jobs, in the proportions BLS counts across the whole industry, at the pay it pays, run through the company scan. A starting point before you have a roster, or a benchmark for the one you have. Or choose the whole industry: every occupation BLS publishes for it with task data, at its nationwide headcount, the sector report ($249 for the full report, or included in Pro).
Next to this industry
Within reach now and by the end of 2028, long-run pace, four in five. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
How it is built: BLS counts the people in each job in this industry; each job's tasks and their lengths give its share within reach at a date; the industry's share is those shares weighted by people. Value is pay times 1.43 for benefits and payroll costs. Seen in Claude use splits today's share by whether Anthropic saw people bring each task to Claude in 2025; other AI tools are not counted. How it works
Questions about this industry
- How much of the work in Fiber, Yarn, and Thread Mills is within reach of AI now?
- An estimated 15% of the paid hours in Fiber, Yarn, and Thread Mills are within reach of AI models now and 17% by the end of 2028, on METR's long-run pace at four in five. Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
- Which jobs in Fiber, Yarn, and Thread Mills carry the most hours within reach?
- By hours within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index): Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders (7,650 people, 7% of their time, about 1.2 million hours a year); First-Line Supervisors of Production and Operating Workers (780 people, 48% of their time, about 773,885 hours a year); and Inspectors, Testers, Sorters, Samplers, and Weighers (830 people, 27% of their time, about 459,222 hours a year).
- Which tasks in Fiber, Yarn, and Thread Mills carry the most hours within reach by the end of 2028?
- Study guides, samples, charts, and specification sheets, or confer with supervisors or engineering staff to determine setup requirements (Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders, about 516,663 hours a year); Notify supervisors or mechanics of equipment malfunctions (Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders, about 366,772 hours a year); and Record production data such as numbers and types of bobbins wound (Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders, about 273,846 hours a year).
- What would people working in Fiber, Yarn, and Thread Mills learn first?
- Among the 7,450 people in jobs reviewed task by task, the skills most often among the first two things to learn on their job's page are the hands-on craft (5,210 people); reviewing work you did not do yourself (3,270 people); and judgment where errors are severe (2,080 people). By the end of 2028 on the long-run pace at four in five, about 70% of their working time stays with people, 25% becomes checking a model's work and 5% can be handed over with lighter checks. It says which parts of the work change, never whether anyone keeps a job.
- How is this estimated?
- BLS counts the people in each occupation in Fiber, Yarn, and Thread Mills (May 2025); each occupation's share of working time within reach comes from its O*NET tasks, each with an estimated length checked against GDPval, and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. The industry's share is those shares weighted by people. Task data covers 92% of its people, and 39% are in occupations reviewed task by task. Data checked November 10, 2026.
Embed these figures on your site
A small card with the share of working time within reach now and at the end of 2027, 2028 and 2030, the date and a link back. Free under CC BY 4.0; the card carries the credit.