Tile and Stone Setters
Overall Exposure
2025 vs 2023
Theoretical Exposure
14What AI could do
Observed Exposure
3What AI actually does
Automation Risk Score
5Displacement risk
3-Year Outlook (2025 → 2028)
Projected changes in AI automation metrics over the next 3 years based on estimated data.
Overall Exposure
2025 → 2028 (estimated)
Theoretical Exposure
2025 → 2028 (estimated)
Observed Exposure
2025 → 2028 (estimated)
Automation Risk
2025 → 2028 (estimated)
Exposure Metrics (2023 - 2028)
Detailed Metrics Table
| Year | Overall | Theoretical | Observed | Risk | Data Type |
|---|---|---|---|---|---|
| 2023 | 4 | 10 | 1 | 3 | actual |
| 2024 | 6 | 12 | 2 | 4 | actual |
| 2025 | 8 | 14 | 3 | 5 | actual |
| 2026 | 10 | 16 | 4 | 6 | estimated |
| 2027 | 12 | 18 | 6 | 7 | estimated |
| 2028 | 14 | 20 | 8 | 8 | estimated |
Task Breakdown
About This Occupation
If you work as a Tile and Stone Setter, AI is reshaping your profession. With an automation risk of 5/100 and overall exposure at 8%, this role faces low transformation. The highest-impact area is measure and plan layout at 22% automation, where digital measurement tools and AI-assisted design software are gaining traction. Physical installation tasks like cutting tiles and applying adhesive remain firmly manual. This is classified as an 'augment' role. BLS projects +10% growth through 2034. Median annual wage stands at $48,340 (2024).
Frequently Asked Questions
With an automation risk score of 5%, Tile and Stone Setters has a low risk of AI replacement. Most tasks in this role require skills that are difficult for AI to replicate, such as complex decision-making, physical dexterity, or deep interpersonal interaction. AI is more likely to serve as a supportive tool.
The AI automation risk score for Tile and Stone Setters is 5% (2025 data). Overall AI exposure is 8%, with 14% theoretical exposure and 3% observed exposure. The risk trend from 2023 to 2025 is +2 points.
The tasks with the highest automation potential for Tile and Stone Setters are: Measure and plan layout (22%), Cut and shape tiles (5%), Prepare and level surfaces (3%). These rates reflect how much of each task current AI systems can handle, based on research data from Anthropic and academic sources.
The BLS projects +10% employment change for Tile and Stone Setters from 2024 to 2034. Combined with an overall AI exposure of 8%, this occupation is experiencing both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.
Since AI primarily augments capabilities in this role, professionals in Tile and Stone Setters should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.