Flooring installers and tile and stone setters

Measure work areas and calculate material quantities needed

AI can process floor plans, calculate square footage accounting for waste factors, and generate material lists from measurements and design specs. Computer vision could measure spaces from photos, though physical measurement verification may still require human involvement in complex layouts.

BLS evidence: Duties include measuring the area and cutting material to fit, and workers use math to measure an area to be covered and to calculate the amount of material needed.

Arrange tiles and stone according to design plans and patterns

AI with computer vision can generate tile layout patterns from design plans and optimize for waste reduction, but physical arrangement as a dry-fit process still benefits significantly from human spatial judgment and on-site adjustment to actual conditions and client preferences.

BLS evidence: Duties include arranging materials according to design plans, and workers must ensure that tile patterns are properly aligned.

Apply finishes such as sealants to completed installations

Requires physical application of sealants with brushes or sprayers across finished surfaces, judgment about coverage uniformity on different stone types, and adaptation to environmental conditions (temperature, humidity) that affect application—beyond current robotic capabilities in field settings.

BLS evidence: Duties include applying finishes, such as sealants and stains.

Clean and level surfaces to prepare for tile installation

Demands physical scraping, grinding, and leveling with tools adapted to surface irregularities, plus tactile and visual assessment of cleanliness and level that current systems cannot reliably perform across varied job site conditions.

BLS evidence: Installing floors and tiles requires a smooth, even base, and duties include cleaning and leveling the surface to be covered.

Cut tile and stone to specified size using wet saws and handheld cutters

Requires precise physical manipulation of wet saws and handheld cutters in variable job site conditions, plus real-time judgment about material grain and structural integrity that current robotics cannot reliably perform in non-factory settings.

BLS evidence: Tile installers cut tiles using wet saws, tile scribes, or handheld tile cutters, and stone setters cut marble, granite, or other stone to a specified size with a wet saw.

Remove existing flooring materials from surfaces to be covered

Requires physical labor with demolition tools in unpredictable conditions, real-time assessment of substrate damage, and adaptation to unknown materials and adhesives encountered during removal—tasks requiring physical strength and judgment beyond current AI+robotics.

BLS evidence: On remodeling jobs, workers may need to remove old flooring and smooth the surface before laying the base, and stone setters may first need to smooth the underlying surface after removing old materials.

Install and position tile and stone pieces on floors, walls, countertops, and other surfaces

Requires precise physical placement with immediate adjustment based on tactile feedback, leveling across uneven substrates, and fine motor skills in unpredictable job site conditions that are beyond current AI+robotics capabilities for non-repetitive installations.

BLS evidence: Tile and stone setters install pieces of ceramic, marble, granite, glass, or other materials on floors, walls, ceilings, countertops, and showers.

Apply grout between tiles using a rubber float and clean excess

Involves physical manipulation of grout with a float requiring pressure modulation based on tactile feedback, working around irregular tile edges, and cleaning techniques adapted to different tile textures—all in variable field conditions unsuitable for current automation.

BLS evidence: Tile finishers apply grout between tiles after the tiles are set by using a rubber trowel, called a float, and then wipe the tiles clean after the grout dries.

Spread mortar or mastic evenly on work surfaces using trowels

Demands fine motor control to achieve even mortar thickness across irregular surfaces, tactile feedback to adjust trowel pressure, and adaptation to surface variations that AI-controlled robotics cannot yet handle in typical construction environments.

BLS evidence: They then use trowels of different sizes to spread mortar or a sticky paste, called mastic, evenly on the work surface before placing the tiles.