Painters, construction and maintenance

Calculate area size and determine amount of paint needed

AI can accurately calculate areas from measurements or images and determine paint quantities using standard formulas; requires minimal physical presence and involves straightforward mathematical computation that current AI handles well.

BLS evidence: Calculate the size of the area to be painted and the amount of paint needed for the area.

Select appropriate tools based on surface type and paint characteristics

AI can suggest appropriate tools based on documented surface types and paint specifications, but final selection requires tactile assessment of actual conditions, experience-based judgment about site-specific factors, and physical verification that keeps humans load-bearing.

BLS evidence: For each job, painters must choose the correct tool, such as a roller, power sprayer, or brush.

Perform quality control to meet technical specifications and ensure proper material use

AI can check some specifications against standards and flag potential issues, but quality control requires visual inspection of finish quality, tactile assessment of surface preparation, and judgment calls about acceptability that demand human expertise in variable field conditions.

BLS evidence: Industrial and commercial painters also must perform quality control and quality assurance to ensure that they find mistakes, meet technical specifications, and use materials appropriately.

Contain work areas to prevent hazardous material contamination

Requires physical setup of containment barriers, real-time monitoring of work area conditions, adaptation to site-specific hazards, and safety-critical decision-making in unpredictable environments that AI-robotics cannot reliably manage.

BLS evidence: Industrial painters must contain the area in which they are working to prevent hazardous materials from contaminating the environment and exposing the public to risks.

Protect floors, furniture, and trim by covering surfaces with drop cloths and tape

Involves physical manipulation of materials across irregular spaces, judgment about coverage extent based on visual inspection of the specific site, and manual dexterity in confined areas that robotics cannot handle across varied construction environments.

BLS evidence: Protect floors, furniture, and trim by covering surfaces with drop cloths and tarps and securing with tape.

Fill holes and cracks with putty or plaster

Requires fine motor skills to apply putty/plaster smoothly, tactile sensing to achieve proper fill depth and texture, and physical manipulation in diverse orientations that current AI-robotics systems cannot execute reliably.

BLS evidence: Fill holes and cracks with putty or plaster.

Apply paint, coatings, or finishes using brushes, rollers, or sprayers

Requires fine motor control, real-time adaptation to surface irregularities, physical presence in unpredictable construction environments, and dexterity that current robotics cannot match at scale across varied job sites.

BLS evidence: Painters apply paint, stain, and coatings to walls and ceilings, buildings, large machinery and equipment, and bridges and other structures.

Apply primers or sealers to ensure paint adhesion to surfaces

Similar to paint application but slightly more standardized; still requires physical presence, precise application technique, and real-time judgment about coverage in variable construction settings beyond current robotic capabilities.

BLS evidence: Apply primers or sealers so the paint will stick to the surface.

Prepare surfaces by scraping, wire brushing, or sanding to a smooth finish

Demands physical manipulation of tools in non-standardized environments, tactile feedback to assess surface smoothness, and manual dexterity in confined or awkward positions that AI-controlled robotics cannot reliably perform.

BLS evidence: Prepare surfaces by removing outlet and switch covers and by scraping, wire brushing, or sanding to a smooth finish.

Install scaffolding and raise ladders for access to work areas

Requires heavy physical labor, spatial reasoning in unpredictable job sites, safety-critical decision-making about structural stability, and coordination in dynamic environments—all beyond current AI-robotics capabilities for construction settings.

BLS evidence: Install scaffolding and raise ladders.