Construction & Extraction · Updated Aug 2026

Fence Erectors

Erect and repair fences and fence gates, using hand and power tools.

JVS 2.0.0-phase4b
AI Exposure
53/100
Moderate

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
37/100
Low

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

Evidence quality
Confidence80/100
Task coverage81%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Align posts, by lines or sighting, and verify vertical alignment of posts, using plumb bobs or spirit levels.High
68
Establish the location for a fence, and gather information needed to ensure that there are no electric cables or water lines in the area.High
67
Attach fence rail supports to posts, using hammers and pliers.High
68
Measure and lay out fence lines and mark posthole positions, following instructions, drawings, or specifications.High
67
Attach rails or tension wire along bottoms of posts to form fencing frames.High
68
Mix and pour concrete around bases of posts, or tamp soil into postholes to embed posts.High
68
Blast rock formations and rocky areas with dynamite to facilitate posthole digging.Medium
68
Nail top and bottom rails to fence posts, or insert them in slots on posts.High
68
Complete top fence rails of metal fences by connecting tube sections, using metal sleeves.Medium
68
Stretch wire, wire mesh, or chain link fencing between posts, and attach fencing to frames.Medium
68
Discuss fencing needs with customers, and estimate and quote prices.High
59
Assemble gates, and fasten gates into position, using hand tools.High
19
Dig postholes, using spades, posthole diggers, or power-driven augers.High
16
Make rails for fences, by sawing lumber or by cutting metal tubing to required lengths.High
15
Weld metal parts together, using portable gas welding equipment.Medium
21
Construct and repair barriers, retaining walls, trellises, and other types of fences, walls, and gates.Medium
16
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Align posts, by lines or sighting, and verify vertical alignment of posts, using plumb bobs or spirit levels.68
  2. Attach fence rail supports to posts, using hammers and pliers.68
  3. Attach rails or tension wire along bottoms of posts to form fencing frames.68
  4. Mix and pour concrete around bases of posts, or tamp soil into postholes to embed posts.68
Hardest to automate

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.

  1. Make rails for fences, by sawing lumber or by cutting metal tubing to required lengths.01
  2. Dig postholes, using spades, posthole diggers, or power-driven augers.02
  3. Construct and repair barriers, retaining walls, trellises, and other types of fences, walls, and gates.03
  4. Assemble gates, and fasten gates into position, using hand tools.04
  5. Weld metal parts together, using portable gas welding equipment.05
Where else this work leads

Related occupations

Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.

See all rankings →
Beyond AI capability

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.

Human dependency73
Physical dependency75
Adoption pressure36
Labour-market resilience71
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence80/100
CalculatedAug 21, 2026
Read methodology →