Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are expected to remain steady over time, with AI supporting rather than replacing the core work.
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.
This role is stable
The career of tile and stone setting is considered "Stable" because it relies heavily on hands-on skills and creativity that AI cannot easily replicate. Every job site is unique, requiring human problem-solving and fine motor skills to fit and finish tiles perfectly.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is stable
The career of tile and stone setting is considered "Stable" because it relies heavily on hands-on skills and creativity that AI cannot easily replicate. Every job site is unique, requiring human problem-solving and fine motor skills to fit and finish tiles perfectly.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
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: 2/17/2026

What's changing and what's not
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.

AI in the real world
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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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
Measure and cut metal lath to size for walls and ceilings, using tin snips.
Determine and implement the best layout to achieve a desired pattern.
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.
Lay and set mosaic tiles to create decorative wall, mural, and floor designs.
Remove and replace cracked or damaged tile.
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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