Painters, Construction and Maintenance
Painters, Construction and Maintenance — AI exposure, safer roles, and a pivot plan.
Also known as: Calker · Chipper · Calciminer · Brush Painter · Bridge Painter · Drywall Sprayer
This score estimates how exposed the tasks in a role are to current and near-term AI capabilities. It does not predict whether a specific person will lose a job.
Most exposed tasks
Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.
No strongly automatable task in the current data release.
Augmentable tasks
Work where AI assists rather than replaces — the productivity frontier of this role.
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Calculate amounts of required materials and estimate costs, based on surface measurements or work orders.37
Most durable tasks
Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.
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Read work orders or receive instructions from supervisors or homeowners to determine work requirements.13
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Apply primers or sealers to prepare new surfaces, such as bare wood or metal, for finish coats.16
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Wash and treat surfaces with oil, turpentine, mildew remover, or other preparations, and sand rough spots to ensure that finishes will adhere properly.17
Task exposure values and classifications come from the versioned data release — they are structured data, not model output. Bars show exposure contribution relative to this role’s task mix.
What this means
A score of 22 puts Painters, Construction and Maintenance in the least-exposed quarter of analyzed occupations. In practice, exposure this level is about the mix: 0 of 19 analyzed tasks lean automatable, 1 augmentable, and 18 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.
One next move: lean into the durable core above and adopt AI on the routine remainder before it becomes a mandate.
Lower-exposure adjacent roles
No adjacent role in the current data release is at least 10 points lower with ≥50% skill overlap — we don’t label anything “safer” unless the data supports it.
Labor-market context
- $49,400median wage
- 225,190employed
- 28,100annual openings
- +3.8%projected growth
Context only — labor statistics are not inputs to the exposure score. See methodology.
Your week probably doesn’t match the average
This page scores the occupation. The $9 Personalized Risk & Action Report scores your task mix — paste what you actually do and get your own score, confidence level, task matrix, human moat, and a 7/30/90-day plan.
Personalize my result — $9Related roles
Adjacent by skills or family — no exposure claim implied.
FAQ — Painters, Construction and Maintenance
- What does a score of 22 mean for a Painters, Construction and Maintenance?
- It means that, weighted across the 19 tasks we analyzed for this role, the task mix sits at 22 on a 0–100 exposure scale — in the least-exposed quarter of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.
- Which tasks in this role are most exposed to AI?
- This role has no strongly automatable task in the current data release.
- Which parts of this job are most durable?
- The most durable responsibilities are: Read work orders or receive instructions from supervisors or homeowners to determine work requirements; Apply primers or sealers to prepare new surfaces, such as bare wood or metal, for finish coats; Wash and treat surfaces with oil, turpentine, mildew remover, or other preparations, and sand rough spots to ensure that finishes will adhere properly. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.
- Is this score personalized to me?
- No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.
Score version jr-v1 · data release 2026.07.11-r1 · updated 2026-07-11 · baseline mapping: 19 of 19 tasks carry source-level provenance · methodology