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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
Desktop Publishers are much less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Desktop publishing is labeled as "Vulnerable" because AI can easily automate many routine tasks like image editing and layout design, which are key parts of the job. This means fewer people may be needed for these tasks as companies use AI to do more with less.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is vulnerable
Desktop publishing is labeled as "Vulnerable" because AI can easily automate many routine tasks like image editing and layout design, which are key parts of the job. This means fewer people may be needed for these tasks as companies use AI to do more with less.
Read full analysisAnalysis of Current AI Resilience
Desktop Publishers
Updated Quarterly • Last Update: 2/17/2026

Desktop publishers’ routine tasks (like laying out text, importing images, and basic photo edits) are already handled by software – and AI is making them even easier. For example, many designers use AI-powered tools for image editing: one study found 75% of creative pros use AI for tasks like photo editing and image search [1]. In tools like Adobe Photoshop, AI “assistants” now let users say things like “remove the background” or “make this sunset more colorful,” automating edits that used to take minutes [2] [1].
Generative AI (like DALL·E or Adobe Firefly) can create art from text prompts, replacing the need to search for clip art or stock photos [3] [1]. Even simple fixes like removing backgrounds or upscaling images can be done instantly by AI with very high accuracy [3] [2].
However, creative judgement and collaboration still need people. The U.S. Bureau of Labor Statistics says desktop publishers “work with writers, editors, and graphic designers” to plan page layouts [4] – a human teamwork task AI can’t replace. Instructors note “AI does not replace human creativity, but it can significantly enhance it” [1].
In short, AI can handle many routine parts of the job, but humans are still needed to make creative decisions and work with others on design ideas. (Tasks tied to old tech, like loading floppy disks, have largely disappeared with newer equipment, so they’re not a concern.)

AI tools for design are widely available, but adoption will depend on practicality and cost. Big companies are already adding AI helpers: for example, Adobe is building chatbot tools into Photoshop so users can automate edits by describing them [2]. Experts say tools that clearly improve a task are adopted fastest – e.g. AI that automates layout or image edits will be used quickly [1].
At the same time, there are reasons adoption might be slower: many creative professionals worry about learning new tools or affording them. One study found that “fear of change,” training needs, and the ongoing cost of AI subscriptions are barriers, especially for small studios [1].
Economics also matter. Desktop publishers make about \$54,000 per year on average [4], so if AI tools cost more than hiring someone, companies might delay switching. On the other hand, as the Bureau of Labor Statistics notes, jobs in this field are expected to decline about 12% by 2034 [4].
This decline (largely due to better software) means publishers may look to AI to do more with fewer people. Balanced outlooks suggest AI will handle more of the “heavy lifting” – letting designers focus on creative strategy. In any case, industry experts emphasize that AI is another tool: it can increase efficiency (by automating tasks) without erasing the need for human designers’ judgment and teamwork [1] [4].

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They design and arrange text and images to create digital or printed materials like brochures, newspapers, and ads, making them look professional and appealing.
Median Wage
$53,620
Jobs (2024)
5,000
Growth (2024-34)
-12.4%
Annual Openings
400
Education
Associate's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Create special effects such as vignettes, mosaics, and image combining, and add elements such as sound and animation to electronic publications.
Load floppy disks or tapes containing information into system.
View monitors for visual representation of work in progress and for instructions and feedback throughout process, making modifications as necessary.
Operate desktop publishing software and equipment to design, lay out, and produce camera-ready copy.
Enter digitized data into electronic prepress system computer memory, using scanner, camera, keyboard, or mouse.
Check preliminary and final proofs for errors and make necessary corrections.
Study layout or other design instructions to determine work to be done and sequence of operations.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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