Last Update: 11/21/2025
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They install tiles and stones on floors, walls, and other surfaces to make them look nice and last a long time.
Summary
The career of tile and stone setters is labeled as "Evolving" because AI and robotics are starting to take over some of the more repetitive and physically demanding tasks, like laying large tiles and mixing mortar. However, humans are still essential for more detailed and creative tasks, such as cutting tiles to fit unique spaces and designing patterns.
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Learn more about how you can thrive in this position
Summary
The career of tile and stone setters is labeled as "Evolving" because AI and robotics are starting to take over some of the more repetitive and physically demanding tasks, like laying large tiles and mixing mortar. However, humans are still essential for more detailed and creative tasks, such as cutting tiles to fit unique spaces and designing patterns.
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AI Resilience
All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.
CareerVillage.org's AI Resilience Analysis
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Will Robots Take My Job
Automation Resilience
Medium Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Tile and Stone Setters
Updated Quarterly • Last Update: 11/22/2025

State of Automation & Augmentation
Tile-setting has traditionally been a hands-on craft, but new robots are beginning to take on some work. For example, a Chinese firm’s robot now “lays tiles fully automatically” and has already covered nearly 100,000 square meters of flooring [1]. These AI-driven robots use cameras and sensors to apply mortar, position tiles, and keep gaps even (about 0.5 mm precision) [2] [3].
In practice, one robot can place a tile in about 1.5 minutes versus 4–5 minutes manually [2], giving roughly four times the output [3]. However, not every step is done by machines yet. Humans are still needed to cut tiles for edges or odd shapes, plan the overall pattern, and do fine work like cleaning grout.
In short, big or repetitive parts of tiling (mixing mortar, laying large tiles) are starting to be automated, while detailed finishing and design tasks remain mainly human.

AI Adoption
Whether more AI gets used depends on cost, labor, and attitudes. High-tech tile robots cost on the order of \$100,000 each [2], so many builders weigh that against hiring labor. In regions with labor shortages (like Singapore), officials are encouraging robotics to fill gaps [2].
For instance, Singapore will cover up to 70% of a construction company’s robot costs to boost productivity [2], and Hong Kong even gives extra credit in public contracts for using robots on “floor finishing” tasks [4]. The main advantages are safety and speed: robots can do hard, risky work (like kneeling to spread mortar) more safely and quickly [4] [3]. But since robots can’t handle every job (like fitting odd corners or creative layout), skilled tile setters remain valuable.
Over time, most expect machines to handle the heavy lifting while people focus on tricky cuts, pattern design, and quality checks [2] [4].

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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
AI-generated estimates of task resilience over the next 3 years
Remove any old tile, grout and adhesive using chisels and scrapers and clean the surface carefully.
Cut and shape tile to fit around obstacles and into odd spaces and corners, using hand and power cutting tools.
Align and straighten tile using levels, squares, and straightedges.
Finish and dress the joints and wipe excess grout from between tiles, using damp sponge.
Apply mortar to tile back, position the tile, and press or tap with trowel handle to affix tile to base.
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.
Level concrete and allow to dry.
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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