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STRATUSWORKFORCE SCAN

Industry group, 3169

Other Leather and Allied Product Manufacturing

10,190 people work in this industry in the US, at mean pay of $50,680 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.

now
21%

of the paid hours. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.

$151M

a year: 3.9 million hours at what they cost. Not a forecast of savings.

Kinds of work
  • 23%
  • 13%
  • 64%
4%

of the paid hours are within reach now in tasks people already bring to Claude. Another 17% 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

0%25%50%75%100%2027202820292030NowDesk work: 23% of the time
Chosen to Ceiling: the share
DateNow
NowEnd of 2030
Change assumptionsLong-run pace, four in five

What each choice means: , , , , . Every pace starts from .

What handing the work over would take

For the 6,360 people in jobs so far, 62% 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.

18%

about 2.4 million hours a year. The material can be handed to a model and the result handed back.

10%

about 1.3 million hours a year. The model has to be connected to the system the work lives in.

, not counted
7%

about 933,953 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

  • 21%
  • 10%
  • 8%
  • 10%
  • 50%

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 6,360 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.

Stays with people
68%

Conversation, in-person and hands-on work.

Becomes checking
23%

Desk work within reach in tasks where a mistake costs something or a licensed person signs.

Handed over
9%

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 craft4,150 (65%)
  • Reviewing work you did not do yourself2,320 (36%)
  • The conversations1,900 (30%)
  • Briefing a model and checking its drafts1,825 (29%)
  • Running AI inside the business systems580 (9%)
  • Judgment where errors are severe345 (5%)
  • Dealing with people outside the organization220 (3%)

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, 14%. Today's estimate: 21%.

0%10%20%30%2023202420252026GPT-4, March 2023: 0% within reachGPT-4 Turbo (Nov 2023), November 2023: 0% within reachGPT-4o, May 2024: 0% within reachClaude 3.5 Sonnet (June 2024), June 2024: 0% within reacho1-preview, September 2024: 0% within reachClaude 3.5 Sonnet (Oct 2024), October 2024: 0% within reacho1, December 2024: 1% within reachClaude 3.7 Sonnet, February 2025: 1% within reacho3, April 2025: 5% within reachGPT-5, August 2025: 6% within reachGemini 3 Pro, November 2025: 8% within reachClaude Opus 4.5, November 2025: 8% within reachGPT-5.2, December 2025: 9% within reachClaude Opus 4.6, February 2026: 9% within reachClaude Mythos Preview (early), April 2026: 14% within reachToday (estimate), November 2026: 21% within reach
Each step is a new best model measured by METR, four in five; the dashed end is today's estimate. Point at a dot for the model.

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 66% of the working time of the people in this industry as physical work. For 47% of the working time, a robot has been shown doing most of the task somewhere: 42% in a purpose-built cell, 5% in a structured facility. 0.52 of 3.

  • Not physical 34%
  • No robot shown 19%
  • In a purpose-built cell 42%
  • In a structured facility 5%

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 25 largest jobs hold 95% of the people.

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. 13 smaller jobs (430 people) count in every total but are not listed. Task data covers 89% 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.

  1. Review work orders and blueprints to ensure work is performed according to specifications.Team Assemblers
    126,457 hours50% of the task within reach
  2. Plan and establish work schedules, assignments, and production sequences to meet production goals.First-Line Supervisors of Production and Operating Workers
    114,986 hours100% of the task within reach
  3. Plan and develop new products and production processes.First-Line Supervisors of Production and Operating Workers
    106,464 hours70% of the task within reach
  4. Estimate the costs of requested products or services such as custom footwear or footwear repair, and receive payment from customers.Shoe and Leather Workers and Repairers
    104,191 hours100% of the task within reach
  5. Complete production reports to communicate team production level to management.Team Assemblers
    102,052 hours100% of the task within reach
  6. Determine work assignments and procedures.Team Assemblers
    91,344 hours50% of the task within reach
  7. Prepare documents, such as work orders, bills of lading, or shipping orders, to route materials.Shipping, Receiving, and Inventory Clerks
    90,635 hours100% of the task within reach
  8. 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 Workers
    77,928 hours100% of the task within reach
  9. Determine shipping methods, routes, or rates for materials to be shipped.Shipping, Receiving, and Inventory Clerks
    63,415 hours100% of the task within reach
  10. Determine standards, budgets, production goals, and rates, based on company policies, equipment and labor availability, and workloads.First-Line Supervisors of Production and Operating Workers
    57,870 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).

Scan a typical companyOr paste your own roles

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 Other Leather and Allied Product Manufacturing is within reach of AI now?
An estimated 21% of the paid hours in Other Leather and Allied Product Manufacturing are within reach of AI models now and 23% 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 Other Leather and Allied Product Manufacturing 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 (490 people, 48% of their time, about 486,158 hours a year); Shipping, Receiving, and Inventory Clerks (340 people, 53% of their time, about 375,523 hours a year); and Customer Service Representatives (240 people, 64% of their time, about 321,485 hours a year).
Which tasks in Other Leather and Allied Product Manufacturing carry the most hours within reach by the end of 2028?
Review work orders and blueprints to ensure work is performed according to specifications (Team Assemblers, about 126,457 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 114,986 hours a year); and Plan and develop new products and production processes (First-Line Supervisors of Production and Operating Workers, about 106,464 hours a year).
What would people working in Other Leather and Allied Product Manufacturing learn first?
Among the 6,360 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 (4,150 people); reviewing work you did not do yourself (2,320 people); and the conversations (1,900 people). By the end of 2028 on the long-run pace at four in five, about 68% of their working time stays with people, 23% becomes checking a model's work and 9% 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 Other Leather and Allied Product Manufacturing (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 89% of its people, and 62% are in occupations reviewed task by task. Data checked November 10, 2026.

How the estimates are made

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