The Replaceability Index

Farming, Fishing & Forestry: AI Replaceability Across 9 Occupations

Compare AI task exposure across occupations, alongside pay and projected growth. 9 occupations in this view. The score is a relative index of task exposure from 0 to 100. It is not a percentage chance of losing a job or a forecast of layoffs. Individual tasks, employer choices, adoption, and regulation all matter.

Occupation data. Exposure is an index out of 100, not a probability.
OccupationExposure /100Median annual wageStored growth projectionEmployment
First-Line Supervisors of Farming, Fishing, and Forestry Workers14$55,110+3%47,800
Forest and Conservation Workers14$33,950+5%17,400
Fishers and Related Fishing Workers18$35,400+3%32,400
Agricultural Inspectors32$49,130+3%15,700
Farmworkers, Farm, Ranch, and Aquacultural Animals32$34,440+2%92,000
Logging Equipment Operators32$48,080-5%26,600
Farmworkers and Laborers, Crop42$33,500+2%277,300
Log Graders and Scalers42$44,030-5%3,300
Agricultural Equipment Operators52$36,580+3%27,100

Sources and methodology

The score is a relative index of task exposure from 0 to 100. It is not a percentage chance of losing a job or a forecast of layoffs. Individual tasks, employer choices, adoption, and regulation all matter.

The Index uses stored BLS-based occupation data. O*NET, OECD capability indicators, and task-exposure research are contextual references. The derivation of the stored occupation scores is not reproducibly documented in the published dataset.

The source snapshot does not record the wage-survey year or employment-projection window. Check the original BLS release before treating these figures as current. Editorial changes and export dates do not establish data freshness.

Read the methodology and limitations