AI exposure by occupation, O*NET 45-2011.00

Will AI replace Agricultural Inspectors?

Agricultural Inspectors: AI can already handle 6 of 16 tasks; the work mostly needs a standard-tier model.

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Every task, scored

The 16 tasks O*NET 30.3 lists for Agricultural Inspectors, from most to least exposed. 6 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Label and seal graded products and issue official grading certificates. 90 Estimated Standard 4.6
Verify that transportation and handling procedures meet regulatory requirements. 80 Estimated Standard 4.4
Monitor the grading performed by company employees to verify conformance to standards. 80 Estimated Standard 4.1
Interpret and enforce government acts and regulations and explain required standards to agricultural workers. 65 Estimated Frontier 4.4
Collect samples from animals, plants, or products and route them to laboratories for microbiological assessment, ingredient verification, or other testing. 65 Estimated Efficient 4.0
Provide consultative services in areas such as equipment or product evaluation, plant construction or layout, or food safety systems. 60 Estimated Frontier 3.9
Monitor the operations and sanitary conditions of slaughtering or meat processing plants. 50 Estimated Standard 4.5
Write reports of findings and recommendations and advise farmers, growers, or processors of corrective action to be taken. 40 Observed Efficient 4.1
Inspect food products and processing procedures to determine whether products are safe to eat. 20 Estimated Efficient 4.6
Inspect agricultural commodities or related operations, as well as fish or logging operations, for compliance with laws and regulations governing health, quality, and safety. 20 Estimated Efficient 4.6
Inspect the cleanliness and practices of establishment employees. 20 Estimated Efficient 4.3
Inspect or test horticultural products or livestock to detect harmful diseases, chemical residues, or infestations and to determine the quality of products or animals. 20 Estimated Efficient 4.3
Take emergency actions, such as closing production facilities, if product safety is compromised. 15 Estimated No tier 4.5
Examine, weigh, and measure commodities, such as poultry, eggs, meat, or seafood to certify qualities, grades, and weights. 15 Estimated No tier 4.3
Testify in legal proceedings. 15 Estimated No tier 3.9
Compare product recipes with government-approved formulas or recipes to determine acceptability. 15 Estimated No tier 3.7

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 1 of 16 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 15 of 16. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

A standard-tier model or lower covers 64% of the role's importance-weighted task work. 76% of the work is something AI can address at some tier, and 24% is hands-on.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
14,410
Median annual wage
$49,940
Middle half of earners
$42,330 to $64,500
Projected change, 2024 to 2034
+1.5%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Agricultural Inspectors and AI

Will AI replace Agricultural Inspectors?

AI already handles 6 of the 16 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 42 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +1.5% from 2024 to 2034.

What is the AI exposure of Agricultural Inspectors?

42 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 1 of the 16 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 15 are estimated from each task's O*NET work activity.

Which Agricultural Inspectors tasks can AI already do?

The tasks with the highest exposure are: Label and seal graded products and issue official grading certificates; Verify that transportation and handling procedures meet regulatory requirements; Monitor the grading performed by company employees to verify conformance to standards. They are three of the 6 tasks that reach 60 or more.

What AI model tier does this role need?

A standard-tier model or lower covers 64% of the role's importance-weighted task work, and 24% is hands-on work that no model tier covers. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Agricultural Inspectors, and what do they earn?

14,410 people in the United States, with a median annual wage of $49,940 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +1.5% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Agricultural Inspectors. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/agricultural-inspectors

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