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AI Automation Index
Will AI Replace Farm Labor Contractors?
Task-level automation exposure for Farm Labor Contractors: 7 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
46%
weighted task index
7 of 7 tasks scored
Median Salary
$58,460 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Low
310 people hold this job — size, not growth
Projected 2025–35
+7.4%
employment change
100 openings a year · BLS line item
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 46%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 0%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 56%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 15%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 16/100
Low
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
7 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 15%
1 tasks
Medium exposure (≥ 35%) 56%
4 tasks
Low exposure (below 35%) 29%
2 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Constituent Tasks
#14838 · Core · 65% automatable
Pay wages of contracted farm laborers.
data analysis — Payments executed via systems; human authorizes
Pay charges, fees, or taxes.
#14839 · Core · 50% automatable
Provide food, drinking water, and field sanitation facilities to contracted workers.
decision support — Allocation decisions need human judgment and authority
Allocate physical resources within organizations.
#14840 · Core · 48% automatable
Recruit and hire agricultural workers.
decision support — AI coordinates admin; human owns hiring decisions
Coordinate personnel recruitment activities. Administer personnel recruitment or hiring activities.
#14842 · Core · 30% automatable
Supervise the work of contracted employees.
interpersonal — Employee supervision is accountability-bearing human work
Supervise employees.
#14841 · Core · 30% automatable
Employ foremen to deal directly with workers when recruiting, hiring, instructing, assigning tasks, and enforcing work rules.
interpersonal — Employee supervision is accountability-bearing human work
Supervise employees.
#14843 · Core · 50% automatable
Furnish tools for employee use.
decision support — Allocation decisions need human judgment and authority
Allocate physical resources within organizations.
#14844 · Core · 45% automatable
Direct and transport workers to appropriate work sites.
decision support — Logistics coordination needs real-time human decisions
Coordinate logistics or other business operations.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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