Mostly Resilient
Last Update: 5/19/2026
AI Resilience Score for Paperhangers:
50.1%
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.
Med
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%).
Med
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.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forPaperhangers
$48,260 median salary•200 annual openings•SOC Code: 47-2142.00
Paperhangers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Paperhanging earns a "Mostly Resilient" label because the heart of the job — climbing ladders, matching patterns by eye, smoothing seams by hand, and troubleshooting uneven walls in real homes — is exactly the kind of physical, judgment-based work that today's AI simply can't replicate. No commercial wallpaper-hanging robot even exists yet, and the messy, one-of-a-kind nature of every job site makes automation a distant concern rather than an immediate threat.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is mostly resilient
Paperhanging earns a "Mostly Resilient" label because the heart of the job — climbing ladders, matching patterns by eye, smoothing seams by hand, and troubleshooting uneven walls in real homes — is exactly the kind of physical, judgment-based work that today's AI simply can't replicate. No commercial wallpaper-hanging robot even exists yet, and the messy, one-of-a-kind nature of every job site makes automation a distant concern rather than an immediate threat.
Read full analysisAnalysis of Current AI Resilience
Paperhangers
Updated Quarterly
How is AI changing Paperhangers jobs?
If you're worried that a robot is about to take over wallpaper hanging — take a deep breath. Right now, paperhangers are mostly being augmented by AI, not replaced. The job involves climbing ladders, matching tricky patterns by eye, smoothing seams by hand, and dealing with old, lumpy walls — exactly the kind of hands-on work today's AI struggles with.
Trade jobs rooted in physical environments, field judgment, safety responsibility, and real-world troubleshooting still look less exposed to direct replacement than information-heavy office work. A March 2026 Brookings analysis of 148 "built environment" occupations [1] found that the vast majority — 83.6%, or 14.5 million workers — are employed in occupations with less AI exposure, and that most built environment workers who use AI in their jobs will find it to be a complement rather than a substitute for their labor.
Where AI is showing up is mostly off the ladder. At the 2026 Wallcoverings Association Annual Meeting [2], industry leaders flagged "Thoughtfully Integrating AI" as a top takeaway, noting that as the industry transitions further into digital-first workflows, AI is becoming a critical enabler of personalized design recommendations. Paperhangers themselves benefit from AR room-visualizer apps that help clients preview patterns, AI estimating tools that speed up quotes, and even experimental drywall-finishing robots like Canvas.
Bigger picture, MIT-affiliated startups [3] are using robotic microfactories for modular construction, but these focus on framing and panels, not decorative wallcovering.
Sources
How fast is AI adoption growing for Paperhangers?
Adoption in this field will likely be slow, and that's good news if you're considering the trade. As CNBC reported in March 2026 [4], career experts are pointing young people toward skilled trades precisely because they resist automation. A few reasons paperhanging stays human-powered:
Bottom line: expect AI to handle paperwork and visualizations, while your hands stay in demand.
Sources
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More Career Info
Career: Paperhangers
They decorate walls by measuring, cutting, and applying wallpaper to create a fresh and stylish look in homes and buildings.
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Employment & Wage Data
Median Wage
$48,260
Jobs (2024)
2,300
Growth (2024-34)
+5.3%
Annual Openings
200
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Apply adhesives to the backs of paper strips, using brushes, or dunk strips of prepasted wallcovering in water, wiping off any excess adhesive.
2
Remove old paper, using water, steam machines, or solvents and scrapers.
3
Cover interior walls and ceilings of rooms with decorative wallpaper or fabric, using hand tools.
4
Fill holes, cracks, and other surface imperfections preparatory to covering surfaces.
5
Set up equipment, such as pasteboards and scaffolds.
6
Apply thinned glue to waterproof porous surfaces, using brushes, rollers, or pasting machines.
7
Apply acetic acid to damp plaster to prevent lime from bleeding through paper.
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.
