AI exposure by occupation, O*NET 47-4091.00

Will AI replace Segmental Pavers?

Segmental Pavers: AI does not yet handle any of the role's 12 tasks; most of the work is hands-on, and the part AI can address mostly needs a frontier-tier model.

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Every task, scored

The 12 tasks O*NET 30.3 lists for Segmental Pavers, from most to least exposed. None reaches 60, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Discuss the design with the client. 50 Estimated Standard 4.3
Design paver installation layout pattern and create markings for directional references of joints and stringlines. 50 Estimated Frontier 4.0
Supply and place base materials, edge restraints, bedding sand and jointing sand. 35 Estimated Efficient 4.3
Prepare base for installation by removing unstable or unsuitable materials, compacting and grading the soil, draining or stabilizing weak or saturated soils and taking measures to prevent water penetration and migration of bedding sand. 20 Estimated Efficient 4.4
Set pavers, aligning and spacing them correctly. 15 Estimated No tier 4.2
Sweep sand into the joints and compact pavement until the joints are full. 15 Estimated No tier 4.1
Screed sand level to an even thickness, and recheck sand exposed to elements, raking and rescreeding if necessary. 15 Estimated No tier 4.1
Cut paving stones to size and for edges, using a splitter and a masonry saw. 15 Estimated No tier 4.0
Compact bedding sand and pavers to finish the paved area, using a plate compactor. 15 Estimated No tier 4.0
Sweep sand from the surface prior to opening to traffic. 15 Estimated No tier 3.9
Resurface an outside area with cobblestones, terracotta tiles, concrete or other materials. 15 Estimated No tier 3.3
Cement the edges of the paved area. 15 Estimated No tier 3.2

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 12 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 12 of 12. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

A frontier-tier model or lower covers 36% of the role's importance-weighted task work. 36% of the work is something AI can address at some tier, and 65% is hands-on.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

BLS Occupational Employment and Wage Statistics (May 2025) publishes no national employment or wage figure for this O*NET occupation.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Segmental Pavers and AI

Will AI replace Segmental Pavers?

Not on current evidence. None of the 12 tasks O*NET lists for this occupation reaches a task exposure of 60, the level at which JobRoute counts a task as handled by AI, and the role's importance-weighted exposure is 23 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears.

What is the AI exposure of Segmental Pavers?

23 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 12 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 12 are estimated from each task's O*NET work activity.

Which Segmental Pavers tasks can AI already do?

None reaches 60 yet. The most exposed task is: Discuss the design with the client, at 50 out of 100.

What AI model tier does this role need?

A frontier-tier model or lower covers 36% of the role's importance-weighted task work, and 65% is hands-on work that no model tier covers. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Segmental Pavers. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/segmental-pavers

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