Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
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.
This role is evolving
This career is labeled as "Evolving" because while AI and robots are starting to help with some tasks, like heavy lifting or painting big walls, many parts of the job still need a human's careful touch. The tools are getting smarter and can make some work easier and safer, but they can't replace the skill and adaptability of people, especially for detailed or unique tasks.
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 evolving
This career is labeled as "Evolving" because while AI and robots are starting to help with some tasks, like heavy lifting or painting big walls, many parts of the job still need a human's careful touch. The tools are getting smarter and can make some work easier and safer, but they can't replace the skill and adaptability of people, especially for detailed or unique tasks.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Low Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Painting/Plastering Helper
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
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.

AI in the real world
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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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
Erect scaffolding.
Fill cracks or breaks in surfaces of plaster articles or areas with putty or epoxy compounds.
Perform support duties to assist painters, paperhangers, plasterers, or masons.
Mix plaster, and carry plaster to plasterers.
Supply or hold tools and materials.
Clean work areas and equipment.
Apply protective coverings, such as masking tape, to articles or areas that could be damaged or stained by work processes.
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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