Prepress Technicians and Workers
In short: today's best AI models could do about 77% 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 people and hands-on work, about 23% of the time, stays with people.
Format and proof text and images submitted by designers and clients into finished pages that can be printed. Includes digital and photo typesetting. May produce printing plates.
23,840 people do this job in the US. $48,690 a year.
A typical 40-hour week
Not yet reviewed task by task- AI could take on31 h
- A person checks AI's work0 h
- Desk work AI can't do yet0 h
- Stays with people9 h
Prepress Technicians and Workers, now: of a 40-hour week, AI could take on 31 hours, 0 hours become checking its work, 0 hours are desk work it can't do yet, and 9 hours stay with people.
The largest pieces: Enter, position, and alter text size, using computers, to make up and arrange pages so that printed materials can be produced (about 12 h); Generate prepress proofs in digital or other format to approximate the appearance of the final printed piece (about 6 h); Proofread and perform quality control of text and images (about 6 h).
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.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 77%
- 0%
- 23%
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.
On the chosen pace and reliability. Estimate.
Share of the working time within reach, now to 2030
Change assumptionsHide 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.
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, 2%. With Claude Mythos Preview (early), measured in April 2026, 65%. Today's estimate: 77%.
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
Of the Claude.ai conversations Anthropic sampled and tied to a work task, no reportable share went to this job's tasks in May 2026; 0 of its 15 tasks showed up. Within each of Anthropic's methods, never across a change: 0.052% to 0.021% (released February and March 2025); 0.028% to 0.027% (August 2025 to February 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.052% | 273 of 708 | 2 of 15 |
| Released March 2025 | 0.021% | 413 of 703 | 3 of 15 |
| The week of Aug 4, 2025 (released September 2025) | 0.028% | 324 of 655 | 2 of 15 |
| The week of Nov 13, 2025 (released January 2026) | 0.026% | 349 of 672 | 1 of 15 |
| The week of Feb 5, 2026 (released March 2026) | 0.027% | 358 of 677 | 2 of 15 |
| April 2026 (released June 2026) | none | n/a | 0 of 15 |
| May 2026 (released June 2026) | none | n/a | 0 of 15 |
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 38% of this job's working time as physical work. For 32% of the working time, a robot has been shown doing most of the task somewhere: 18% in a purpose-built cell, 14% in a structured facility. 0.47 of 3, the 322nd highest of the 923 jobs.
- Not physical 62%
- No robot shown 5%
- In a purpose-built cell 18%
- In a structured facility 14%
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.
The tasks
Sorted by . 15 tasks from .
| Task | Kind | |||
|---|---|---|---|---|
| Enter, position, and alter text size, using computers, to make up and arrange pages so that printed materials can be produced.Done hourly or more by most who do it. AI observed on this task. | 30% | 1.3 h25 min to 2.5 h | 100%Half by now | |
| Generate prepress proofs in digital or other format to approximate the appearance of the final printed piece.Done hourly or more by most who do it. Robots: in a structured facility, Esko Automation Engine (prepress workflow server) (sold). Anthropic's rating. | 16% | 38 min13 min to 1.7 h | 100%Half by now | |
| Proofread and perform quality control of text and images.Done hourly or more by most who do it. | 15% | 38 min13 min to 1.7 h | 100%Half by now | |
| Operate and maintain laser plate-making equipment that converts electronic data to plates without the use of film.Done daily by most who do it. Robots: in a purpose-built cell, KODAK MAGNUS Q800 Platesetter with Multi-Pallet Loader (MPL) / SONORA Process Free Plates (Eastman Kodak) (sold). Anthropic's rating. | 9% | 50 min17 min to 2.5 h | Stays with people | |
| Perform "preflight" check of required font, graphic, text and image files to ensure completeness prior to delivery to printer.Done daily by most who do it. | 7% | 25 min8 min to 1.1 h | 100%Half by now | |
| Enter, store, and retrieve information on computer-aided equipment.Done hourly or more by most who do it. | 6% | 13 min4 min to 33 min | 100%Half by now | |
| Operate presses to print proofs of plates, monitoring printing quality to ensure that it is adequate.Done daily by most who do it.Robots: in a structured facility, Heidelberg Speedmaster XL 106 with Push to Stop, Intellistart 2, Prinect Inpress Control, Quality Assist (Heidelberger Druckmaschinen AG) (sold). Anthropic's rating. | 4% | 50 min17 min to 2.1 h | Stays with people | |
| Maintain, adjust, and clean equipment, and perform minor repairs.Done daily by most who do it. Robots: no robot shown. Anthropic's rating. | 3% | 38 min17 min to 1.7 h | Stays with people | |
| Examine finished plates to detect flaws, verify conformity with master plates, and measure dot sizes and centers, using light boxes and microscopes.Done more than monthly by most who do it.Robots: in a purpose-built cell, NELA PQM+ Plate Quality Measurement (sold). Anthropic's rating. | 3% | 25 min8 min to 1.3 h | Stays with people | |
| Examine photographic images for obvious imperfections prior to plate making.Done daily by most who do it. | 2% | 17 min4 min to 50 min | 100%Half by now | |
| Set scanners to specific color densities, sizes, screen rulings, and exposure adjustments, using scanner keyboards or computers.Done more than monthly by most who do it. | 2% | 25 min8 min to 1.1 h | Stays with people | |
| Analyze originals to evaluate color density, gradation highlights, middle tones, and shadows, using densitometers and knowledge of light and color.Done daily by most who do it. | 1% | 25 min8 min to 1.3 h | 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.
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.
- Photographic Process Workers and Processing Machine Operators14% now, 14% by 2028
- Printing Press Operators18% now, 18% by 2028
- Etchers and Engravers21% now, 21% by 2028
- Office Machine Operators, Except Computer11% now, 11% by 2028
- Print Binding and Finishing Workers7% now, 9% by 2028
- Patternmakers, Metal and Plastic31% now, 35% by 2028
Where this job works
The industry groups that employ the most of it (BLS, May 2025).
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025).
Questions about this job
- How much of the work of Prepress Technicians and Workers is within reach of AI now?
- An estimated 77% of the working time is within reach of AI models now and 77% 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 Prepress Technicians and Workers 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: Enter, position, and alter text size, using computers, to make up and arrange pages so that printed materials can be produced (100% of the task's time now); Generate prepress proofs in digital or other format to approximate the appearance of the final printed piece (100% of the task's time now); and Proofread and perform quality control of text and images (100% of the task's time now).
- Which tasks of Prepress Technicians and Workers stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Operate and maintain laser plate-making equipment that converts electronic data to plates without the use of film; Operate presses to print proofs of plates, monitoring printing quality to ensure that it is adequate; and Maintain, adjust, and clean equipment, and perform minor repairs. Together such tasks are about 23% of the working time.
- Do people already use AI for the work of Prepress Technicians and Workers?
- 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 10%. 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 Prepress Technicians and Workers?
- Anthropic's robot exposure rating (September 2026) finds 38% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 32% of the working time, 14% in a structured facility. Its index is 0.47 of 3. One example: Esko Automation Engine (prepress workflow server) for "generate prepress proofs in digital or other format to approximate the appearance of the final printed piece". 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 15 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, each classed as desk, people or body work, 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.
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