Gini Loh System Tools

AI Automation Index

Will AI Replace Desktop Publishers?

Task-level automation exposure for Desktop Publishers: 18 O*NET tasks scored against their work activities, plus the simulator.

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Developed & audited by Gini Loh

Automation Exposure

70% weighted task index

18 of 18 tasks scored

Median Salary

$55,290 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

Low

3,350 people hold this job — size, not growth

Projected 2025–35

-14.5% employment change

300 openings a year · BLS line item

Pay by state

BLS OEWS publishes 27 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$36,280 – $77,750

Highest medians

Colorado $77,750
California $71,930
Maryland $69,820
New Jersey $63,020
South Carolina $62,320

Lowest medians

Nebraska $36,280
Georgia $39,460
North Carolina $43,700
Tennessee $44,440
Michigan $45,300

State figures come from the 43-9031 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.

What the score is made of

Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.

Automation potential 70%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 8%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 12%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 4%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 11/100 Low

O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.

Constituent Task Mix

18 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 66%

11 tasks

Medium exposure (≥ 35%) 21%

4 tasks

Low exposure (below 35%) 13%

3 tasks

How would you survive?

Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.

Simulate Upskilling →

Constituent Tasks

#2816 · Core · 88% automatable

Operate desktop publishing software and equipment to design, lay out, and produce camera-ready copy.

text generation — Document and data formatting automatable

Format digital documents, data, or images.
#2820 · Core · 88% automatable

Position text and art elements from a variety of databases in a visually appealing way to design print or web pages, using knowledge of type styles and size and layout patterns.

text generation — Document and data formatting automatable

Format digital documents, data, or images.
#2815 · Core · 88% automatable

Check preliminary and final proofs for errors and make necessary corrections.

text generation — Proofreading text for accuracy is core LLM strength

Proofread documents, records, or other files to ensure accuracy.
#2817 · Core · 45% automatable

View monitors for visual representation of work in progress and for instructions and feedback throughout process, making modifications as necessary.

decision support — AI flags quality/safety issues; human owns physical verification

Monitor operational quality or safety.
#2818 · Core · 87% automatable

Enter text into computer keyboard and select the size and style of type, column width, and appropriate spacing for printed materials.

text generation — Document and data formatting automatable

Enter information into databases or software programs. Format digital documents, data, or images.
#2824 · Core · 88% automatable

Prepare sample layouts for approval, using computer software.

text generation — Document and data formatting automatable

Format digital documents, data, or images.
#2823 · Core · 30% automatable

Import text and art elements, such as electronic clip art or electronic files from photographs that have been scanned or produced with a digital camera, using computer software.

physical manipulation — Operating computers is physical interface work

Operate computers or computerized equipment.
#2825 · Core · 78% automatable

Study layout or other design instructions to determine work to be done and sequence of operations.

information retrieval — Extract material requirements from work orders

Read work orders to determine material or setup requirements.
#2829 · Core · 55% automatable

Select number of colors and determine color separations.

decision support — Resource selection needs situational judgment

Select resources needed to accomplish tasks.
#2827 · Core · 88% automatable

Convert various types of files for printing or for the Internet, using computer software.

text generation — Document and data formatting automatable

Format digital documents, data, or images.
#2821 · Core · 85% automatable

Enter digitized data into electronic prepress system computer memory, using scanner, camera, keyboard, or mouse.

data analysis — Data entry into systems automatable

Enter information into databases or software programs.
#2822 · Core · 88% automatable

Edit graphics and photos, using pixel or bitmap editing, airbrushing, masking, or image retouching.

text generation — Document and data formatting automatable

Format digital documents, data, or images.
#2828 · Core · 85% automatable

Enter data, such as coordinates of images and color specifications, into system to retouch and make color corrections.

data analysis — Data entry into systems automatable

Enter information into databases or software programs.
#2830 · Supplemental · 43% automatable

Transmit, deliver, or mail publication master to printer for production into film and plates.

text generation — Sending digital materials automatable; physical mailing human

Deliver items. Send information, materials or documentation.
#2831 · Supplemental · 48% automatable

Collaborate with graphic artists, editors and writers to produce master copies according to design specifications.

interpersonal — Real-time coworker coordination is relational work

Confer with coworkers to coordinate work activities.
#2819 · Supplemental · 15% automatable

Store copies of publications on paper, magnetic tape, film, or diskette.

physical manipulation — Physical filing and storage of records

Store records or related materials.
#2832 · Supplemental · 88% automatable

Create special effects such as vignettes, mosaics, and image combining, and add elements such as sound and animation to electronic publications.

text generation — Document and data formatting automatable

Format digital documents, data, or images.
#2826 · Supplemental · 30% automatable

Load floppy disks or tapes containing information into system.

physical manipulation — Operating computers is physical interface work

Operate computers or computerized equipment.
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Community Sentiment

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Method

How this was scored

  1. 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
  2. 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
  3. 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
  4. 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.

Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast

See the full method →

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