Construction and Extraction · United States (national)
Cement Masons and Concrete Finishers
How exposed this work is to automation, shown as ranges with the reasoning and sources.
The short version: this role is highly exposed to automation, and the bigger shift looks near-term.
It is a sourced range, not a verdict, and the detail is below.
Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown.
Data snapshot SNAPSHOT-2026-11-06. How it works
AI / softwarerange 0.0 to 12.0
Physical / roboticsrange 65.8 to 89.8
When the change is likely
Near-term, highlocal demand declining
What to do about it
Use AI to outpace AI.
Strategies to protect your livelihood, most important first.
1
Act within the next 1 to 2 years
Displacement for this role is near-term. Start a concrete reskilling plan now, while you still have income and leverage.
2
Move up from the task to the system
Robotics targets the physical work. Shift toward supervising, maintaining, or programming the automation instead of competing with it.
3
Pivot toward Segmental Pavers
It is skill-adjacent and less exposed (43.8 vs 78). A lateral move now beats a forced one later.
4
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
5
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.
Keep the monitor on
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Which of my tasks are exposed
Check the forms that hold the concrete to see that they are properly constructed.
100.0
Set the forms that hold concrete to the desired pitch and depth, and align them.
77.8
Spread, level, and smooth concrete, using rake, shovel, hand or power trowel, hand or power screed, and float.
77.8
Monitor how the wind, heat, or cold affect the curing of the concrete throughout the entire process.
100.0
Mold expansion joints and edges, using edging tools, jointers, and straightedge.
77.8
Signal truck driver to position truck to facilitate pouring concrete, and move chute to direct concrete on forms.
77.8
Direct the casting of the concrete and supervise laborers who use shovels or special tools to spread it.
77.8
Produce rough concrete surface, using broom.
77.8
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Check the forms that hold the concrete to see that they are properly constructed.
Task: Monitor how the wind, heat, or cold affect the curing of the concrete throughout the entire process.
Local demand is declining
Lower-risk adjacent roles
Segmental Pavers
43.8
Construction Laborers
58.9
Tile and Stone Setters
66.6
Terrazzo Workers and Finishers
66.7
Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters
74.0
Brickmasons and Blockmasons
75.1
A full, ranked mitigation plan is part of the paid tiers.
How this score is calculated
Map Cement Masons and Concrete Finishers to its standard O*NET task list (8 core tasks).
Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
The two axis scores are the task averages: AI 0.0, robotics 77.8.
The timeline comes from the higher axis (77.8), shifted for local demand (declining), and seniority. It is read against your remaining working years.
Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.
Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS.
Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.