Evolving

Last Update: 2/17/2026

Your role’s AI Resilience Score is

49.7%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Low-medium

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

Painting, Coating, and Decorating Workers

They add color and designs to products by applying paints and coatings to make them look better and last longer.

This role is evolving

The career of Painting, Coating, and Decorating Workers is labeled as "Evolving" because while AI is starting to assist with planning tasks like color matching and job estimates, most of the hands-on painting work still relies on human skill. AI technology, like robots, is mainly used in large factories for repetitive tasks, but it hasn't taken over the creative and adaptive parts of painting, especially in homes and small shops.

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Learn more about how you can thrive in this position

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This role is evolving

The career of Painting, Coating, and Decorating Workers is labeled as "Evolving" because while AI is starting to assist with planning tasks like color matching and job estimates, most of the hands-on painting work still relies on human skill. AI technology, like robots, is mainly used in large factories for repetitive tasks, but it hasn't taken over the creative and adaptive parts of painting, especially in homes and small shops.

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Contributing 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

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Stable iconStable

96.7%

96.7%

Microsoft's Working with AI

AI Applicability

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Stable iconStable

71.4%

71.4%

Will Robots Take My Job

Automation Resilience

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Changing fast iconChanging fast

20.7%

20.7%

Low Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

1.4%

Growth Percentile:

35.3%

Annual Openings:

800

Annual Openings Pct:

8.9%

Analysis of Current AI Resilience

Painters, Coaters, Decorators

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

Right now, most of the tasks on this list remain mainly manual. In factories (especially auto plants), large paint-spray robots have been used for decades to coat parts automatically [1]. These machines can rinse or spray-paint uniform pieces, but they are expensive and only used in big production lines.

We did not find examples of AI robots doing “rinse and wipe” or “brush and clean” tasks in small shops or homes. In creative painting, artists are experimenting with AI-guided robots (for example, one TIME report described a painter co-creating with an AI-driven robot) , but that’s still experimental art – not mass-market automation. Similarly, smart apps can help painters choose colors or estimate paint needed, but the actual spray-painting, cleaning, and detailed retouching still rely on human skill.

In some high-tech settings, computer-vision systems check paint quality and point out defects, but even these need humans to make final fixes [1]. In short, we found that machinery and AI tend to automate large, repetitive jobs (like factory painting), but the everyday tasks of a painting or decorating worker – especially the creative and flexible parts – are still done by people.

Sources

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AI Adoption

AI in the real world

Will AI spread into painting jobs quickly? Probably not very fast. Several factors slow adoption.

First, market equipment is limited: most “painting robots” are specialized industrial models, not off-the-shelf AI kits for contractors [1] [2]. Those machines cost a lot, so many small businesses find it cheaper to hire painters. A recent article notes that blue-collar trades often use AI for things like scheduling or design – not to do the core manual work – because it’s more affordable [2].

Second, the economics don’t slam the door on humans yet. Painter wages aren’t extremely high, and many jobs are one-off or outdoors, which makes robots hard to justify; the return on a fancy robot setup is uncertain. Finally, painting involves creativity and adaptation.

Homeowners and clients often prefer a human painter’s touch and problem-solving. In fact, experts argue AI is more likely to help workers than completely replace them [1]. For now, most shops use computers for estimating jobs or showing clients color previews, while people do the hands-on work.

All in all, current AI helps with planning (like apps for color matching or quotes) but doesn’t remove the need for painters’ skills. Sadly, some routine parts of the job might shrink (factories use spray robots now and then), but the human skills – careful prep, artistry, problem-solving and quality checks – remain valuable. In other words, AI may change how painters work, but it won’t do every task by itself.

With training and flexibility, painters can use new tools (like vision systems or AR color apps) to make their jobs easier, even as they keep doing the tasks that need a person’s steady hand and eye [1] [2]. That’s good news for anyone worried – technology is a helper, not a total replacement, and human painters still play a key role.

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More Career Info

Career: Painting, Coating, and Decorating Workers

Parent Careers

Employment & Wage Data

Median Wage

$40,860

Jobs (2024)

8,800

Growth (2024-34)

+1.4%

Annual Openings

800

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

65% ResilienceSupplemental

Position and glue decorative pieces in cutout sections of workpieces, following patterns.

2

60% ResilienceCore Task

Read job orders and inspect workpieces to determine work procedures and materials required.

3

60% ResilienceSupplemental

Conceal blemishes in workpieces, such as nicks and dents, using fillers such as putty.

4

55% ResilienceCore Task

Examine finished surfaces of workpieces to verify conformance to specifications and retouch any defective areas.

5

50% ResilienceCore Task

Clean and maintain tools and equipment, using solvents, brushes, and rags.

6

50% ResilienceSupplemental

Melt or heat coating materials to specified temperatures.

7

45% ResilienceCore Task

Clean surfaces of workpieces in preparation for coating, using cleaning fluids, solvents, brushes, scrapers, steam, sandpaper, or cloth.

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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