Agricultural Technicians

Most exposed tasks

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

• Record environmental data from field samples of soil, air, water, or pests to monitor the effectiveness of integrated pest management (IPM) practices.71
• Set up laboratory or field equipment as required for site testing.65
• Maintain or repair agricultural facilities, equipment, or tools to ensure operational readiness, safety, and cleanliness.63

Augmentable tasks

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

• Collect animal or crop samples.59
• Examine animals or crop specimens to determine the presence of diseases or other problems.59
• Perform general nursery duties, such as propagating standard varieties of plant materials, collecting and germinating seeds, maintaining cuttings of plants, or controlling environmental conditions.59

Most durable tasks

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

The current data release does not distinguish durable tasks for this role.

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 58 puts Agricultural Technicians in the third quartile of analyzed occupations. In practice, exposure this high is about the mix: 12 of 20 analyzed tasks lean automatable, 8 augmentable, and 0 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: audit how much of your week sits in the exposed tasks above — then shift time toward the durable set or investigate the adjacent roles below.

Lower-exposure adjacent roles

No adjacent role in the current data release is at least 10 points lower with ≥50% skill overlap — we don’t label anything “safer” unless the data supports it.

Labor-market context

• $49,630median wage
• 15,130employed
• 2,900annual openings
• +4.3%projected growth

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

Related roles

Adjacent by skills or family — no exposure claim implied.

• Biological Technicians 57
• Chemical Technicians 58
• Precision Agriculture Technicians 60
• Food Science Technicians 65
• Farmers, Ranchers, and Other Agricultural Managers 56
• First-Line Supervisors of Farming, Fishing, and Forestry Workers 48

FAQ — Agricultural Technicians

What does a score of 58 mean for a Agricultural Technicians?

It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 58 on a 0–100 exposure scale — in the third quartile 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?

The highest-exposure tasks are: Record environmental data from field samples of soil, air, water, or pests to monitor the effectiveness of integrated pest management (IPM) practices; Set up laboratory or field equipment as required for site testing; Maintain or repair agricultural facilities, equipment, or tools to ensure operational readiness, safety, and cleanliness. Exposure is scored per task from structured data, not generated by a language model.

Which parts of this job are most durable?

The current data release does not distinguish durable tasks for this role.

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.