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AI exposure Business and financial operations

Will AI replace farm labor contractors?

Farm Labor Contractors. US occupation 13-1074.

The reading

0.0%

of the time farm labor contractors spend on their work goes on tasks where AI is already being used to do that work.of farm labor contractors' working hours go on tasks AI has already started taking off their plate.

Ranked 346 of 756 US occupations. No AI use seen in the work yet, along with 410 other occupations.No handover started yet, along with 410 other occupations.

Average US job 7.7%

Among the least exposed jobs there are.Still waiting for liberation.

What AI already does for farm labor contractorsWhat farm labor contractors no longer do alone

O*NET lists 7 tasks for farm labor contractors. None of them shows meaningful AI use at work yet.

What it does not touch, yetWhat still needs a human

7 of the 7 tasks show no AI use at work in the data.

  • Direct and transport workers to appropriate work sites.Core task
  • Employ foremen to deal directly with workers when recruiting, hiring, instructing, assigning tasks, and enforcing work rules.Core task
  • Furnish tools for employee use.Core task
  • Pay wages of contracted farm laborers.Core task
  • Provide food, drinking water, and field sanitation facilities to contracted workers.Core task
  • Recruit and hire agricultural workers.Core task
Show the other 1
  • Supervise the work of contracted employees.Core task

How that compares

Among the 29 business and financial operations occupations, farm labor contractors rank 27. The group averages 17.7%, and its most exposed job is Market Research Analysts and Marketing Specialists at 64.8%. The average US occupation sits at 7.7%.

All 756 occupations, ranked

Level with 0.0%

  1. 346Family Medicine Physicians 0.0%
  2. 346Farm and Home Management Educators 0.0%
  3. 346Farm Equipment Mechanics and Service Technicians 0.0%

What this does and does not mean

Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.

A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.

Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.