Will AI replace Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters?
Most of the work in Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters still leans on things AI struggles with — research rates its theoretical AI reach at only ~0%, and real-world use lower still.
O*NET-SOC 47-3011
How your 15 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a relatively low share of this job's tasks (~0%). By late 2025, real-world AI use had caught up to about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~0%), real-world use (~0%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 15 tasks, ratedBased on real task-level AI scores — click to collapse
- None — AI cannot fully do any core task alone yet.
- No tasks in this middle tier.
- Mix mortar, plaster, and grout, manually or using machines, according to standard formulas.
- Erect scaffolding or other installation structures.
- Cut materials to specified sizes for installation, using power saws or tile cutters.
- Modify material moving, mixing, grouting, grinding, polishing, or cleaning procedures, according to installation or material requirements.
- Transport materials, tools, or machines to installation sites, manually or using conveyance equipment.
- Provide assistance in the preparation, installation, repair, or rebuilding of tile, brick, or stone surfaces.
- Locate and supply materials to masons for installation, following drawings or numbered sequences.
- Arrange or store materials, machines, tools, or equipment.
- Clean installation surfaces, equipment, tools, work sites, or storage areas, using water, chemical solutions, oxygen lances, or polishing machines.
- Move or position materials such as marble slabs, using cranes, hoists, or dollies.
- Remove excess grout or residue from tile or brick joints, using sponges or trowels.
- Apply grout between joints of bricks or tiles, using grouting trowels.
- Apply caulk, sealants, or other agents to installed surfaces.
- Remove damaged tile, brick, or mortar, and clean or prepare surfaces, using pliers, hammers, chisels, drills, wire brushes, or metal wire anchors.
- Correct surface imperfections or fill chipped, cracked, or broken bricks or tiles, using fillers, adhesives, or grouting materials.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.