How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Check the forms that hold the concrete to see that they are properly constructed.72
- Spread, level, and smooth concrete, using rake, shovel, hand or power trowel, hand or power screed, and float.66
- Set the forms that hold concrete to the desired pitch and depth, and align them.66
- Wet surface to prepare for bonding, fill holes and cracks with grout or slurry, and smooth, using trowel.66
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Signal truck driver to position truck to facilitate pouring concrete, and move chute to direct concrete on forms.01
- Cut out damaged areas, drill holes for reinforcing rods, and position reinforcing rods to repair concrete, using power saw and drill.02
- Install anchor bolts, steel plates, door sills and other fixtures in freshly poured concrete or pattern or stamp the surface to provide a decorative finish.03
- Cut metal division strips, and press them into terrazzo base so that top edges form desired design or pattern.04
- Build wooden molds, and clamp molds around area to be repaired, using hand tools.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Stonemasons
Related work
Compare these careers →Roofers
Shares some work
Compare these careers →Foundry Mold and Coremakers
Shares some work
Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
