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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.
High
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.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
Helpers--Painters, Paperhangers, Plasterers, and Stucco Masons are somewhat less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
This career is labeled "Somewhat Resilient" because, while some tasks are starting to be assisted by new technologies like robotic sprayers and wearable exoskeletons, many duties still rely on human skills. Painting, plastering, and similar jobs often require a careful touch and adaptability to different environments, which machines can't fully replicate yet.
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 somewhat resilient
This career is labeled "Somewhat Resilient" because, while some tasks are starting to be assisted by new technologies like robotic sprayers and wearable exoskeletons, many duties still rely on human skills. Painting, plastering, and similar jobs often require a careful touch and adaptability to different environments, which machines can't fully replicate yet.
Read full analysisAnalysis of Current AI Resilience
Painting/Plastering Helper
Updated Quarterly • Last Update: 2/17/2026

Right now, most helper tasks are still done by people because they can be tricky and change a lot. There are some new gadgets, though. For example, a startup called PaintJet mounts a small robotic sprayer on a lift that scans a wall and automatically paints sections box by box [1].
In Finland, engineers even built a wheeled vacuum robot to clean dust on construction sites [2]. Wearable “exoskeleton” suits are also being tested – these are like helper suits that let workers lift heavy boards with less strain [3]. These machines can cover some work (especially big or dangerous parts), but many tasks still need a human’s careful touch.
Putting on tape, moving oddly shaped furniture, or filling tiny cracks usually requires a person’s skill. In fact, one recent review noted that construction sites remain “one of the least digitized industries” and there is “very little compelling evidence” that robots have taken over these jobs [4] [4]. In short, tools and AI can help with certain parts of the job today, but helper duties mostly stay manual.

There are a few reasons why AI and robots aren’t everywhere for these helpers yet. First, developing and deploying a robot for construction is very expensive and complicated [5]. Many companies find it cheaper to hire people than invest in huge new machines.
Also, every painting or plastering job is different – walls have different shapes, weather conditions vary, and jobs can be small or irregular. That unpredictability makes it hard for a robot to work alone [4]. Surveys show most construction firms are still cautious: for example, one study found only about 5% had actually implemented new digital tools on site [3].
Finally, social and safety concerns slow things down. Workers trust humans most for fine-detail work, and any new tech needs strict safety rules. On the hopeful side, many experts say robots will cooperate with people.
For instance, machines might do the heavy lifting (like robot bricklayers or lift-mounted painters) while humans do the careful finishing. In that way, AI and robotics could make jobs safer and easier without fully replacing the valuable skills that only people provide [3] [5].

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They assist skilled workers by preparing surfaces, mixing materials, and cleaning up to ensure painting, wallpapering, plastering, and stucco projects are completed smoothly and efficiently.
Median Wage
$38,140
Jobs (2024)
7,400
Growth (2024-34)
+2.3%
Annual Openings
800
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Perform support duties to assist painters, paperhangers, plasterers, or masons.
Erect scaffolding.
Apply protective coverings, such as masking tape, to articles or areas that could be damaged or stained by work processes.
Clean work areas and equipment.
Place articles to be stripped into stripping tanks.
Fill cracks or breaks in surfaces of plaster articles or areas with putty or epoxy compounds.
Mix plaster, and carry plaster to plasterers.
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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