Evolving

Last Update: 3/13/2026

Your role’s AI Resilience Score is

53.5%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Low-medium

What does this resilience result mean?

These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.

AI Resilience Report for

Segmental Pavers

They build outdoor surfaces like walkways and patios by laying bricks, stones, or tiles in patterns to create smooth, durable paths.

This role is evolving

The career of a segmental paver is labeled as "Evolving" because while most tasks are still done by hand, new technologies are slowly being introduced to help with bigger projects. Robots and AI might assist with repetitive or dangerous tasks, making work safer and more efficient, but they can't fully replace the human skills needed for creative design and personal client interactions.

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Learn more about how you can thrive in this position

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Chat with Coach
Latest news
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Analysis
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This role is evolving

The career of a segmental paver is labeled as "Evolving" because while most tasks are still done by hand, new technologies are slowly being introduced to help with bigger projects. Robots and AI might assist with repetitive or dangerous tasks, making work safer and more efficient, but they can't fully replace the human skills needed for creative design and personal client interactions.

Read full analysis

Contributing Sources

We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.

AI Resilience

AI Resilience Model v1.0

AI Task Resilience

Learn about this score
Stable iconStable

90.6%

90.6%

Will Robots Take My Job

Automation Resilience

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Evolving iconEvolving

49.9%

49.9%

Althoff & Reichardt

Economic Growth

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Changing fast iconChanging fast

19.9%

19.9%

Medium Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

3.5%

Growth Percentile:

56.8%

Annual Openings:

3,100

Annual Openings Pct:

29.9%

Analysis of Current AI Resilience

Segmental Pavers

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

Segmental paving is still mostly done by people. Official sources describe pavers “lay out, cut, and place” stones with hands and simple tools [1]. Today there are no common robots that sweep sand or set individual pavers on a patio.

Some prototypes exist – for example, researchers built a scaled “RoboPaver” to lay concrete and noted paving has many single tasks that conceivably could be automated [2] – but these are not used on real jobs. In related construction work, semi-automated machines do help: for instance the SAM-100 robot can assist masons by placing bricks faster and more evenly [3]. Floor-planning robots (like Dusty Robotics FieldPrinter) can “print” layout lines on slabs [3].

However, those tools serve large, uniform projects – not small custom patios. In practice, sweeping after paving or cutting stones still relies on human crews, and discussing design decisions is done person-to-person. (Even the job’s database shows only about 31% of tasks “highly automated” [1].) In short, most segmental-paver tasks remain manual labor today, though new equipment may gradually assist on big jobs.

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AI Adoption

AI in the real world

Widespread use of AI and robots in paving is slow. Construction is one of the last industries to automate compared to factories [4]. Why?

First, robots are expensive and complex. A bricklaying robot can cost hundreds of thousands of dollars, so small paving contractors may not afford it [3]. Second, paving jobs vary a lot by site – it’s hard to program a “one-size” robot for every pattern.

On the positive side, companies face labor shortages and safety pressures. Experts note that robots free workers from back-breaking or dangerous tasks [3], since machines never get tired or distracted [3]. If labor costs rise or large paving projects demand speed and precision, more firms may try robotics.

For now, most crews use simple power tools and rely on their skill. Importantly, human skills like planning a design or talking with clients remain valuable and hard to replace. New AI tools might help with layout or estimating, but the creative and personal parts of paving still need people [3] [4].

Overall, the trend is hopeful: smart machines may assist and make work safer, but they will complement rather than fully replace pavers in the near future.

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More Career Info

Career: Segmental Pavers

Employment & Wage Data

* Data estimated from parent occupation

Median Wage

$48,120

Jobs (2024)

35,000

Growth (2024-34)

+3.5%

Annual Openings

3,100

Education

High school diploma or equivalent

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

95% ResilienceCore Task

Cut paving stones to size and for edges, using a splitter and a masonry saw.

2

90% ResilienceCore Task

Discuss the design with the client.

3

75% ResilienceCore Task

Resurface an outside area with cobblestones, terracotta tiles, concrete or other materials.

4

70% ResilienceCore Task

Design paver installation layout pattern and create markings for directional references of joints and stringlines.

5

70% ResilienceCore Task

Cement the edges of the paved area.

6

65% ResilienceCore Task

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 penetr...

7

65% ResilienceCore Task

Screed sand level to an even thickness, and recheck sand exposed to elements, raking and rescreeding if necessary.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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