Industry group, 3133
Textile and Fabric Finishing and Fabric Coating Mills
19,990 people work in this industry in the US, at mean pay of $57,450 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: 8.6 million hours at what they cost. Not a forecast of savings.
- 32%
- 12%
- 56%
of the paid hours are within reach now in tasks people already bring to Claude. Another 22% 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 11,240 people in jobs so far, 56% 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 5.5 million hours a year. The material can be handed to a model and the result handed back.
about 2.2 million hours a year. The model has to be connected to the system the work lives in.
about 1.8 million 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
- 28%
- 10%
- 9%
- 7%
- 47%
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 11,240 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
- Reviewing work you did not do yourself6,353 (57%)
- The hands-on craft6,207 (55%)
- Briefing a model and checking its drafts4,023 (36%)
- Judgment where errors are severe2,020 (18%)
- The conversations807 (7%)
- Running AI inside the business systems680 (6%)
- Dealing with people outside the organization630 (6%)
- Signing off under your license190 (2%)
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, 1%. With Claude Mythos Preview (early), measured in April 2026, 17%. Today's estimate: 28%.
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 53% of the working time of the people in this industry as physical work. For 49% of the working time, a robot has been shown doing most of the task somewhere: 34% in a purpose-built cell, 15% in a structured facility. 0.64 of 3.
- Not physical 47%
- No robot shown 5%
- In a purpose-built cell 34%
- In a structured facility 15%
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 36 largest jobs hold 95% of the people.
| People | Pay here | |||
|---|---|---|---|---|
| First-Line Supervisors of Production and Operating Workers | 970 | 48% | 962,401 | $64K |
| Textile Bleaching and Dyeing Machine Operators and Tenders | 3,060 | 11% | 700,128 | $38K |
| General and Operations Managers | 660 | 45% | 617,765 | $126K |
| Sales Representatives, Wholesale and Manufacturing, Except Technical and Scientific Products | 630 | 46% | 608,026 | $66K |
| Shipping, Receiving, and Inventory Clerks | 520 | 53% | 574,330 | $41K |
| Inspectors, Testers, Sorters, Samplers, and Weighers | 920 | 27% | 509,018 | $39K |
| Bookkeeping, Accounting, and Auditing Clerks | 260 | 88% | 476,445 | $58K |
| Office Clerks, General | 330 | 56% | 387,816 | $39K |
| Industrial Engineers | 280 | 60% | 347,118 | $93K |
| Industrial Production Managers | 320 | 51% | 340,126 | $94K |
| Production, Planning, and Expediting Clerks | 180 | 72% | 269,568 | $47K |
| Graphic Designers | 120 | 87% | 216,904 | $61K |
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. 25 smaller jobs (730 people) count in every total but are not listed. Task data covers 74% 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, charts, and specification sheets, and confer with supervisors to determine machine setup requirements.Textile Bleaching and Dyeing Machine Operators and Tenders249,564 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 Workers227,626 hours100% of the task within reach
- Plan and develop new products and production processes.First-Line Supervisors of Production and Operating Workers210,755 hours70% of the task within reach
- Key in processing instructions to program electronic equipment.Textile Bleaching and Dyeing Machine Operators and Tenders176,369 hours100% of the task within reach
- Record production information such as fabric yardage processed, temperature readings, fabric tensions, and machine speeds.Textile Bleaching and Dyeing Machine Operators and Tenders163,384 hours100% of the task within reach
- Write test or inspection reports describing results, recommendations, or needed repairs.Inspectors, Testers, Sorters, Samplers, and Weighers162,924 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 Workers154,266 hours100% of the task within reach
- Monitor market conditions, product innovations, and competitors' products, prices, and sales.Sales Representatives, Wholesale and Manufacturing, Except Technical and Scientific Products143,161 hours100% of the task within reach
- Prepare documents, such as work orders, bills of lading, or shipping orders, to route materials.Shipping, Receiving, and Inventory Clerks138,618 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 Workers114,559 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 Textile and Fabric Finishing and Fabric Coating Mills is within reach of AI now?
- An estimated 28% of the paid hours in Textile and Fabric Finishing and Fabric Coating Mills are within reach of AI models now and 32% by the end of 2028, on METR's long-run pace at four in five (31% to 32% across the three paces the site shows). 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 Textile and Fabric Finishing and Fabric Coating 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): First-Line Supervisors of Production and Operating Workers (970 people, 48% of their time, about 962,395 hours a year); Textile Bleaching and Dyeing Machine Operators and Tenders (3,060 people, 11% of their time, about 700,128 hours a year); and General and Operations Managers (660 people, 45% of their time, about 617,760 hours a year).
- Which tasks in Textile and Fabric Finishing and Fabric Coating Mills carry the most hours within reach by the end of 2028?
- Study guides, charts, and specification sheets, and confer with supervisors to determine machine setup requirements (Textile Bleaching and Dyeing Machine Operators and Tenders, about 249,564 hours a year); Plan and establish work schedules, assignments, and production sequences to meet production goals (First-Line Supervisors of Production and Operating Workers, about 227,626 hours a year); and Plan and develop new products and production processes (First-Line Supervisors of Production and Operating Workers, about 210,755 hours a year).
- What would people working in Textile and Fabric Finishing and Fabric Coating Mills learn first?
- Among the 11,240 people in jobs reviewed task by task, the skills most often among the first two things to learn on their job's page are reviewing work you did not do yourself (6,353 people); the hands-on craft (6,207 people); and briefing a model and checking its drafts (4,023 people). By the end of 2028 on the long-run pace at four in five, about 62% of their working time stays with people, 30% becomes checking a model's work and 8% 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 Textile and Fabric Finishing and Fabric Coating 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 74% of its people, and 56% 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.