JobAIRisk

Fence Erectors

Fence Erectors — AI exposure, safer roles, and a pivot plan.

Also known as: Fence Builder · Fence Laborer · Fence Mechanic · Fence Installer · Fence Repairman · Fence Contractor

AI Task Exposure Score

Low exposure

More exposed than 14% of 968 occupations · Rank #814 (1 = most exposed)

This score estimates how exposed the tasks in a role are to current and near-term AI capabilities. It does not predict whether a specific person will lose a job.

Most exposed tasks

Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.

No strongly automatable task in the current data release.

Augmentable tasks

Work where AI assists rather than replaces — the productivity frontier of this role.

  • Blast rock formations and rocky areas with dynamite to facilitate posthole digging.50
  • Establish the location for a fence, and gather information needed to ensure that there are no electric cables or water lines in the area.44
  • Weld metal parts together, using portable gas welding equipment.35

Most durable tasks

Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.

  • Complete top fence rails of metal fences by connecting tube sections, using metal sleeves.30
  • Insert metal tubing through rail supports.30
  • Set metal or wooden posts in upright positions in postholes.31

Task exposure values and classifications come from the versioned data release — they are structured data, not model output. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 33 puts Fence Erectors in the least-exposed quarter of analyzed occupations. In practice, exposure this level is about the mix: 0 of 20 analyzed tasks lean automatable, 3 augmentable, and 17 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.

One next move: lean into the durable core above and adopt AI on the routine remainder before it becomes a mandate.

Lower-exposure adjacent roles

Shown only when the target is at least 10 points lower under the same score version and skill overlap is at least 50%. These are adjacent roles with lower task exposure — not guaranteed “safe careers”.

Labor-market context

  • $47,980median wage
  • 24,480employed
  • 2,300annual openings
  • +4.5%projected growth

Context only — labor statistics are not inputs to the exposure score. See methodology.

Your week probably doesn’t match the average

This page scores the occupation. The $9 Personalized Risk & Action Report scores your task mix — paste what you actually do and get your own score, confidence level, task matrix, human moat, and a 7/30/90-day plan.

Personalize my result — $9

Related roles

Adjacent by skills or family — no exposure claim implied.

FAQ — Fence Erectors

What does a score of 33 mean for a Fence Erectors?
It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 33 on a 0–100 exposure scale — in the least-exposed quarter of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.
Which tasks in this role are most exposed to AI?
This role has no strongly automatable task in the current data release.
Which parts of this job are most durable?
The most durable responsibilities are: Complete top fence rails of metal fences by connecting tube sections, using metal sleeves; Insert metal tubing through rail supports; Set metal or wooden posts in upright positions in postholes. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.
Is this score personalized to me?
No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.

Score version jr-v1 · data release 2026.07.11-r1 · updated 2026-07-11 · baseline mapping: 20 of 20 tasks carry source-level provenance · methodology