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STRATUSWORKFORCE SCAN

Structural Metal Fabricators and Fitters

In short: today's best AI models could do about 4% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about the same by the end of 2028 if progress keeps its long-run pace. The conversations, in-person and hands-on work, about 96% of the time, stays with people.

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Fabricate, position, align, and fit parts of structural metal products.

52,360 people do this job in the US. $51,330 a year.

Reviewed on October 18, 2026: what each task is made of, and what handing it over would ask.

A typical 40-hour week

  • AI could take on0 h
  • A person checks AI's work2 h
  • Desk work AI can't do yet0 h
  • Stays with people38 h

Structural Metal Fabricators and Fitters, now: of a 40-hour week, AI could take on 0 hours, 2 hours become checking its work, 0 hours are desk work it can't do yet, and 38 hours stay with people.

The largest pieces: Study drawings for materials and sequence (about 1 h, a person checks); Mark bending and cutting lines (under an hour, a person checks); Make templates and fixtures (under an hour, a person checks).

Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.

now
4%

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

What the work is made of
  • 4%
  • 0%
  • 0%
  • 4%
  • 92%
0%

of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.

Half the desk work within reach
Already

On the chosen pace and reliability. Estimate.

Share of the working time within reach, now to 2030

0%25%50%75%100%2027202820292030NowDesk work: 4% 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 .

At this date and pace, models finish tasks up to 2.4 work days long four times in five.

What handing it over would take, now

The 4% within reach splits by what a model would need. The dates, pace and reliability follow the controls above. Estimates.

4%

of the working time. The material can be handed to a model and the result handed back.

0%

of the working time. The model has to be connected to the system the work lives in.

, not counted
0%

is conversation short enough by length. This site leaves conversation with people, so it is not in the total.

How far this has come

With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 0%. With Claude Mythos Preview (early), measured in April 2026, 4%. Today's estimate: 4%.

0%5%10%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: 0% within reachClaude 3.7 Sonnet, February 2025: 0% within reacho3, April 2025: 1% within reachGPT-5, August 2025: 1% within reachGemini 3 Pro, November 2025: 2% within reachClaude Opus 4.5, November 2025: 2% within reachGPT-5.2, December 2025: 2% within reachClaude Opus 4.6, February 2026: 3% within reachClaude Mythos Preview (early), April 2026: 4% within reachToday (estimate), November 2026: 4% 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.

Measured use over time

None of this job's 23 tasks showed up in the Claude.ai conversations Anthropic sampled in any of its 7 releases, from February 2025 to May 2026.

Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.

Robots and the physical work

Anthropic rates 93% of this job's working time as physical work. For 93% of the working time, a robot has been shown doing most of the task somewhere: 93% in a purpose-built cell. 0.93 of 3, the 160th highest of the 923 jobs.

  • Not physical 7%
  • In a purpose-built cell 93%

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. The robot behind each rated task is under the task below.

What changes for the people in this job

From the task-by-task review, by the end of 2028 on the long-run pace at four in five. It says which parts of the work stay with people and which change, not whether anyone keeps a job: that depends on decisions no data set can see.

What stays with people

96% of the working time: the conversation, in-person and hands-on parts of the tasks.

  • Fit and weld assemblies, the hands-on work, 29%
  • Run fabricating machines, the hands-on work, 10%
  • Set up jigs and fixtures, the hands-on work, 6%
  • Hammer and grind metal, the hands-on work, 6%
  • Tack-weld parts, the hands-on work, 5%
  • Align and fit parts, the hands-on work, 5%

What becomes checking the machine

4% of the working time: desk work a model could do by then, in tasks where a mistake costs something or a licensed person signs. A person checks it.

  • Study drawings for materials and sequence, costly if wrong, 3%
  • Mark bending and cutting lines, costly if wrong, 0.8%
  • Make templates and fixtures, costly if wrong, 0.7%

What to learn

  • The hands-on craft. About 92% of the time is hands-on work, which no model here does; robots are rated separately on this page.
  • Judgment where errors are severe. Some tasks are severe if wrong. Knowing when not to trust an output matters more there than speed.
  • Reviewing work you did not do yourself. The tasks under What becomes checking the machine, where a mistake costs something, stay a person's to check or sign: spotting what a draft gets wrong is a skill of its own.

Your own version of this job: read it against your job description. The headline is free; the full personal report, every task with its timeline and what to learn, is $19 (a sample).

The tasks

Sorted by . 23 tasks from .

Task
Position, align, fit, and weld parts to form complete units or subunits, following blueprints and layout specifications, and using jigs, welding torches, and hand tools.Positioning, fitting and welding the parts into units to the drawings.Done hourly or more by most who do it. Robots: in a purpose-built cell, Zeman Steel Beam Assembler (SBA) (deployed). Anthropic's rating.29%2.5 h50 min to 1 work dayHands-on 100%Stays with people
Set up and operate fabricating machines, such as brakes, rolls, shears, flame cutters, grinders, and drill presses, to bend, cut, form, punch, drill, or otherwise form and assemble metal components.Setting up and running brakes, rolls, shears, flame cutters and drill presses.Done daily by most who do it. Robots: in a purpose-built cell, PythonX Structural Steel Fabrication System (deployed). Anthropic's rating.10%1.3 h17 min to 2.5 hHands-on 100%Stays with people
Set up face blocks, jigs, and fixtures.Setting up the face blocks, jigs and fixtures for the job.Done daily by most who do it. Robots: in a purpose-built cell, Zeman SBA (Steel Beam Assembler) robotic assembly line at Prospect Steel (deployed). Anthropic's rating.6%50 min25 min to 3.3 hHands-on 100%Stays with people
Hammer, chip, and grind workpieces to cut, bend, and straighten metal.Hammering, chipping and grinding to cut, bend and straighten.Done daily by most who do it. Robots: in a purpose-built cell, Teqram EasyGrinder (ABB IRB 6700) (deployed). Anthropic's rating.6%38 min13 min to 1.7 hHands-on 100%Stays with people
Tack-weld fitted parts together.Tacking the fitted parts with the welder.Done hourly or more by most who do it. Robots: in a purpose-built cell, Zeman Steel Beam Assembler (SBA) / SBA Single Rail Compact (Lincoln Electric) (sold). Anthropic's rating.5%25 min8 min to 1.3 hHands-on 100%Stays with people
Study engineering drawings and blueprints to determine materials requirements and task sequences.Reading the drawings for the materials and the order of the work; the knowing is the fitter's own.Done daily by most who do it. 5%25 min13 min to 1.3 hDocuments 50%, in person 50%50%Desk part half by now
Align and fit parts according to specifications, using jacks, turnbuckles, wedges, drift pins, pry bars, and hammers.Bringing parts into alignment with jacks, wedges, pins and hammers.Done daily by most who do it. Robots: in a purpose-built cell, Zeman Steel Beam Assembler (SBA Conti / SBA2 Conti+) (sold). Anthropic's rating.5%50 min13 min to 2.1 hHands-on 100%Stays with people
Straighten warped or bent parts, using sledges, hand torches, straightening presses, or bulldozers.Straightening warped parts with sledges, torches and presses.Done more than monthly by most who do it.Robots: in a purpose-built cell, ARKU FlatMaster / FlatJack precision leveler (sold). Anthropic's rating.4%1.3 h17 min to 2.5 hHands-on 100%Stays with people
Lay out and examine metal stock or workpieces to be processed to ensure that specifications are met.Laying out the stock and checking it meets the specification.Done daily by most who do it. Robots: in a purpose-built cell, Peddinghaus PeddiWriter automatic layout marking machine (sold). Anthropic's rating.3%25 min8 min to 1.3 hHands-on 100%Stays with people
Move parts into position, manually or with hoists or cranes.Moving parts by hand or with hoists and cranes, where a dropped load can hurt.Done hourly or more by most who do it. Robots: in a purpose-built cell, Zeman SBA (Steel Beam Assembler) (sold). Anthropic's rating.3%17 min8 min to 50 minHands-on 100%Stays with people
Lift or move materials and finished products, using large cranes.Lifting materials and finished products with a large crane, which takes a certified operator.Done daily by most who do it. Robots: in a purpose-built cell, KASTO UNICOMPACT / UNITOWER automated long-goods storage with stacker cranes (SRMs) (sold). Anthropic's rating.3%25 min8 min to 50 minHands-on 100%Stays with people
Verify conformance of workpieces to specifications, using squares, rulers, and measuring tapes.Checking the workpiece with squares, rules and tapes.Done hourly or more by most who do it. Robots: in a purpose-built cell, Creaform CUBE-R / MetraSCAN 3D-R (sold). Anthropic's rating.3%13 min4 min to 38 minHands-on 100%Stays with people

Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach. Made of: how the task's time splits among five kinds of doing. Only the documents and systems parts can count as within reach, so a task that is 30% documents can be at most 30% within reach.

Jobs that share skills with this one

From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.

Questions about this job

How much of the work of Structural Metal Fabricators and Fitters is within reach of AI now?
An estimated 4% of the working time is within reach of AI models now and 4% 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 tasks of Structural Metal Fabricators and Fitters come within reach first?
Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Study drawings for materials and sequence (50% of the task's time now); Mark bending and cutting lines (30% of the task's time now); and Make templates and fixtures (30% of the task's time now).
Which tasks of Structural Metal Fabricators and Fitters stay with people?
Tasks that are people work or body work are not counted as within reach at any date. The largest: Fit and weld assemblies; Run fabricating machines; and Set up jigs and fixtures. Together such tasks are about 90% of the working time, and the people and body parts of the other tasks stay with people too.
What should Structural Metal Fabricators and Fitters learn as AI takes on more of the work?
By the job's own task-by-task review, the first things to learn are the hands-on craft; judgment where errors are severe; and reviewing work you did not do yourself. By the end of 2028 on the long-run pace at four in five, about 96% of the working time stays with people, 4% becomes checking a model's work and 0% could be handed over with lighter checks. It says which parts of the work change, never whether anyone keeps a job.
Do people already use AI for the work of Structural Metal Fabricators and Fitters?
In the Claude.ai conversations Anthropic sampled for May 2026, no reportable share went to this job's tasks. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 0%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
Can robots do the physical work of Structural Metal Fabricators and Fitters?
Anthropic's robot exposure rating (September 2026) finds 93% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 93% of the working time. Its index is 0.93 of 3. One example: Zeman Steel Beam Assembler (SBA) for "fit and weld assemblies". A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
How is this estimated?
From the 23 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, reviewed one task at a time on October 18, 2026 for what each is made of (documents, business systems, conversation, in person, hands-on), 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. Data checked November 10, 2026.

How the estimates are made

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Your own version of this job

The page above is the occupation. Your job is your title and what you actually do: give both, and they are read against these tasks in your browser, nothing sent anywhere. The headline is free: how much of your working time is within reach now and by the end of 2028, and how many of the tasks your description names.

The full personal report is $19, to print or save as a PDF: every task with when it comes within reach, which ones your description names, the parts of your description the task list does not cover, what stays with you, what becomes checking the machine and what to learn.