Resilient

Last Update: 4/23/2026

Your role’s AI Resilience Score is

66.3%

Median Score

Meaningful human contribution

High

Long-term employer demand

Med

Sustained economic opportunity

Med

Our confidence in this score:
Medium-high

Contributing sources

AI Resilience Report forTile and Stone Setters

Tile and Stone Setters are more resilient to AI impacts than most occupations, according to our analysis of 6 sources.

Tile and stone setting is labeled as "Resilient" because the work relies heavily on human skills like creativity, judgment, and fine motor skills that AI can't easily replicate. While technology can assist with planning and measuring, the core tasks of fitting tiles in uneven spaces and creating custom designs are best handled by experienced hands.

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This role is resilient

Tile and stone setting is labeled as "Resilient" because the work relies heavily on human skills like creativity, judgment, and fine motor skills that AI can't easily replicate. While technology can assist with planning and measuring, the core tasks of fitting tiles in uneven spaces and creating custom designs are best handled by experienced hands.

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Analysis of Current AI Resilience

Tile and Stone Setters

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

How is AI changing Tile and Stone Setters jobs?

Right now, tile and stone setting is still mostly done by hand. Experts note that tile installation remains a “purely analog” process using simple tools [1]. In fact, U.S. job data describe tile setters as only about 15% automated, and 81% “not at all automated” [2].

For example, while there are purpose-built robots for repetitive tasks like bricklaying [3], no widely used robots can finish tile grout, cut tiles to odd shapes, or clean excess grout on a real job site. Tile setters still spread mortar, level and align tiles with hand tools, and wipe grout by eye. Computers are rarely needed on the job – they’re used more for drawing up blueprints, not actually placing tiles [3] [2].

Some design and measurement apps (like BIM software or laser levels) can help plan and guide work, but the core tasks of fitting tiles in uneven corners and dressing joints remain hands-on. In short, today’s tile setters rely on skills and simple power tools, not AI.

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AI Adoption

How fast is AI adoption growing for Tile and Stone Setters?

Adopting AI or robots for tile work faces many hurdles, so change is slow. Construction experts point out that every job site is different, so robots have trouble navigating and adjusting to real work environments [3] [3]. Most automation in construction happens in factories (like precast walls) rather than on-site.

Even though hiring skilled tile setters can be expensive (union labor costs might reach \$30–35 per square foot in big cities [1]), building a special tile-laying robot is even more costly and complex. For now, it usually costs less to pay a trained worker than to buy, program, and transport a robot. Socially and legally, people also trust human craftsmanship more – work done by hand tends to meet quality and safety standards without extra regulation.

All this means many contractors stick with human workers. The good news is that tile setting uses creativity, judgment, and fine motor skills – redesigning patterns or solving tricky layout problems – which AI cannot easily match. So while new tools (like digital design apps or laser measurers) may assist tile setters in the future, core human skills of planning, problem-solving, and manual dexterity will stay valuable [3] [1].

High school students curious about this career can be hopeful: learning hands-on craftsmanship and design will keep you in demand, even as technology gradually improves.

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More Career Info

Career: Tile and Stone Setters

They install tiles and stones on floors, walls, and other surfaces to make them look nice and last a long time.

Employment & Wage Data

Median Wage

$52,240

Jobs (2024)

52,600

Growth (2024-34)

+10.1%

Annual Openings

4,200

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

94% ResilienceCore Task

Prepare surfaces for tiling by attaching lath or waterproof paper, or by applying a cement mortar coat to a metal screen.

2

94% ResilienceCore Task

Remove any old tile, grout and adhesive using chisels and scrapers and clean the surface carefully.

3

94% ResilienceSupplemental

Study blueprints and examine surface to be covered to determine amount of material needed.

4

93% ResilienceCore Task

Finish and dress the joints and wipe excess grout from between tiles, using damp sponge.

5

93% ResilienceCore Task

Cut, surface, polish, and install marble and granite or install pre-cast terrazzo, granite or marble units.

6

93% ResilienceCore Task

Remove and replace cracked or damaged tile.

7

93% ResilienceSupplemental

Cut tile backing to required size, using shears.

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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