Mostly Resilient
Last Update: 8/30/2026
AI Resilience Score for Tile and Stone Setters:
59.8%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forTile and Stone Setters
$55,690 median salary•3,300 annual openings•SOC Code: 47-2044.00
Tile and Stone Setters are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Tile and stone setting earns a "Mostly Resilient" label because the core of the work, including reading uneven surfaces, choosing the right materials, and managing waterproofing and movement joints, still requires human judgment that robots simply cannot replicate on real, messy jobsites. While robotic systems are getting better at placing tiles in large, flat, repetitive spaces like airports, they struggle with the unpredictable conditions that show up on everyday projects.
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Tile and stone setting earns a "Mostly Resilient" label because the core of the work, including reading uneven surfaces, choosing the right materials, and managing waterproofing and movement joints, still requires human judgment that robots simply cannot replicate on real, messy jobsites. While robotic systems are getting better at placing tiles in large, flat, repetitive spaces like airports, they struggle with the unpredictable conditions that show up on everyday projects.
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Tile and Stone Setters
Updated Quarterly
How is AI changing Tile and Stone Setters jobs?
If you're worried about robots taking over tile work, here's the honest picture: automation is coming, but slowly, and human tile setters still hold big advantages. Around the world, companies are introducing robotic systems designed to move, place, align, mark, or assist with tile and flooring installation [1], according to TileLetter, the magazine of the National Tile Contractors Association. Machines like Legend Robot's tile-laying robot and the R-19 paving robot can now place tiles quickly and levelly in large, repetitive spaces like airports or shopping centers.
The robotic ceramic tile laying market grew from $1.67 billion in 2025 to a projected $1.96 billion in 2026, fueled by AI-driven algorithms and machine learning for precision placement [2]. AI is also augmenting setters through digital layout tools — Dusty Robotics prints blueprint lines directly on slabs, and BuiltWorlds' 2026 benchmarking report found robotics use among surveyed contractors grew 45% year-over-year [3]. Still, TileLetter stresses that tile installation is a system involving substrate evaluation, mortar selection, movement joints, waterproofing, and lippage management that a robot cannot yet replace [1].
Sources
How fast is AI adoption growing for Tile and Stone Setters?
Adoption will likely stay gradual. On the "faster" side, McKinsey argues the construction industry should begin planning for humanoid robotics because of a worsening labor shortage in the trades [4], and investors have poured nearly $1 billion into construction-robotics startups. On the "slower" side, real jobsites are messy — floors aren't flat, walls aren't plumb, plans change, and materials arrive with warpage, so a qualified contractor's judgment still beats a robot's repetition [1].
Costs are also high, and McKinsey notes robotics remain at an early stage in construction because builders struggle to use their own data well [3]. The good news for young workers: AI is more likely to show up first as helpful tools — like the AI-powered Leica iCON digital templating system that combines laser sensors and a wireless measuring pen for countertop and backsplash layouts [5] — meaning tile and stone setters who learn tech alongside craftsmanship will be the most valuable people on the jobsite.
Sources
Will AI replace Tile and Stone Setters?
No. We don't think AI will replace Tile and Stone Setters, though we do expect the job to change.
We gave this career a 59.8% AI Resilience Score, which puts it in a stronger position than most. Robots are genuinely entering the picture: machines can now place tiles quickly in large, repetitive spaces like airports, and the robotic tile-laying market is growing fast [2]. AI tools like digital templating systems are also showing up on jobsites, helping setters work more precisely [5]. That part is real.
But tile installation is far more than placing a square on a flat surface. It involves reading substrates, selecting mortar, managing waterproofing, and handling the unpredictable conditions of real construction sites, things a robot cannot yet replace [1]. Floors are uneven, plans change mid-job, and materials arrive warped. Human judgment still wins in those moments.
The economic picture is moderate, not booming, but steady. A worsening labor shortage in the trades is actually pushing demand for skilled workers even as robotics investment grows [4]. The setters who will thrive are the ones who treat new tech as a tool in their kit, not a threat to their trade.
Sources
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Latest AI news for Tile and Stone Setters
These articles offer valuable insights for students pursuing careers as Tile and Stone Setters. The "AI in the Tile Industry" piece highlights how AI can boost productivity and efficiency, enhancing creative design processes. Additionally, the AI Job Risk Predictor Tool indicates that tile setters face low AI-related job risks, with a score of 96/100 in resilience. This suggests that while AI will transform the industry, it also presents opportunities for growth and innovation, ensuring a stable future for skilled professionals in this field.
AI in the Tile Industry
architessa.com • 9/20/2026
Beyond creativity, AI is extremely helpful in enhancing productivity and efficiency, which is especially vital for businesses and designers in the tile industry ... Read more
Tile and Stone Setters - AI Job Risk Predictor Tool | JobRiskAI
jobriskai.com • 9/20/2026
Task-level AI exposure data for 785 occupations, with honest framing and concrete resilience plans. Free, no login, no tracking. A plainforge.com tool. Explore. Read more
Will AI Replace Terrazzo Workers and Finishers?
www.tagieff.ca • 9/20/2026
AI and automation pose very low risk to terrazzo workers and finishers, with our analysis showing a risk score of only 28 out of 100. Read more
Tile Setter: 96/100 — Human-Essential - AI Career Shield
www.careershield.me • 9/20/2026
Jul 21, 2026 — Your score of 96 puts Tile Setter among the most AI-resilient roles. A lateral career move wouldn't meaningfully improve your position — and ... Read more
What are the chances AI will take your construction job?
www.constructionbriefing.com • 1/29/2024
With the IMF predicting that artificial intelligence will impact nearly 40% of jobs around the world, Lucy Barnard asks which construction...
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.
Parent Careers
Similar Careers
Employment & Wage Data
Median Wage
$55,690
Jobs (2025)
45,200
Growth (2025-35)
+9.8%
Annual Openings
3,300
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Finish and dress the joints and wipe excess grout from between tiles, using damp sponge.
2
Cut, surface, polish, and install marble and granite or install pre-cast terrazzo, granite or marble units.
3
Lay and set mosaic tiles to create decorative wall, mural, and floor designs.
4
Build underbeds and install anchor bolts, wires, and brackets.
5
Brush glue onto manila paper on which design has been drawn and position tiles, finished side down, onto paper.
6
Align and straighten tile using levels, squares, and straightedges.
7
Mix, apply, and spread plaster, concrete, mortar, cement, mastic, glue or other adhesives to form a bed for the tiles, using brush, trowel and screed.
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.
