JobRiskAI

Farmers, Ranchers, and Other Agricultural Managers

SOC 11-9013ManagementData vintage 2026-07
Low exposure AI applicability score 0.076, higher than 23% of the 785 occupations measured · #36 most exposed of 37 in Management

The core of this work stays human, for now.

Most of this occupation's activities don't appear in measured AI usage. The paperwork fringe can be accelerated, but the core of the work stays human for now.

Where this occupation sits among all 785 measured. Bands are quintiles of the real distribution. Applicability measures task overlap with observed AI usage. It is not a probability of job loss.

What this job involves

Plan, direct, or coordinate the management or operation of farms, ranches, greenhouses, aquacultural operations, nurseries, timber tracts, or other agricultural establishments. May hire, train, and supervise farm workers or contract for services to carry out the day-to-day activities of the managed operation. May engage in or supervise planting, cultivating, harvesting, and financial and marketing activities.

Where AI overlaps this work, activity by activity

The occupation's most important work activities (O*NET weights, normalized to this set), each with its measured AI performance across 200,000 real conversations: how often AI is used for it, how well it completes it, and how much of the activity it covers.

Work activityShare of roleAI performance
Manage agricultural or forestry operations.30.9%Not observed 0.00
Maintain operational records.12.6%Not observed 0.00
Compile records, documentation, or other data.7.8%Moderate 0.55
Determine resource needs of projects or operations.6.1%Moderate 0.52
Analyze business or financial data.6.1%Emerging 0.39
Develop contingency or emergency response plans.6.1%Not observed 0.00
Perform agricultural activities.5.5%Not observed 0.00
Prepare legal or regulatory documents.5.2%Not observed 0.00
Inspect facilities or equipment.5.0%Not observed 0.00
Maintain tools or equipment.5.0%Not observed 0.00
Develop operational or technical procedures or standards.4.9%High overlap 0.68
Direct organizational operations, activities, or procedures.4.7%Not observed 0.00

"Not observed" is a measurement, not missing data: that activity does not meaningfully appear in the usage sample. AI performance = completion × scope × coverage (user-goal view), 0–1.

What drives this score: the biggest AI-overlapped activity in this role is compile records, documentation, or other data; the most important activity AI is not observed doing is manage agricultural or forestry operations. The plan below is built around exactly that split.

Protect the core, automate the fringe.

Next 30 days

  • Automate the fringe. The small text-and-paperwork layer of this job, Compile records, documentation, or other data, is worth handing to AI now; it's the least valuable part of your week anyway.
  • Confirm your reality. If your actual role involves far more screen work than the occupation average, the personalization above will say so.

Next 90 days

  • Convert resilience into rate. Work like Manage agricultural or forestry operations is measured as beyond current AI: supply of it doesn't scale with software. Skill up and price accordingly.
  • Let AI carry your admin. Quotes, scheduling, follow-ups, records: the overhead around the core work is where the tools pay off for you.

The longer game

  • Watch robotics, not chatbots. For low-exposure occupations the relevant automation frontier is usually physical or regulatory, which this dataset deliberately doesn't measure. Track your industry, not AI headlines.
  • Build the customer asset. Reputation and repeat relationships are the moat generative AI cannot cross. Invest there.

Compare this occupation with another

Sources for this page:
  • AI applicability score and per-activity metrics: Tomlinson, Jaffe, Wang, Counts & Suri, Working with AI: Measuring the Applicability of Generative AI to Occupations, Microsoft Research 2025 (arXiv:2507.07935), data CC BY 4.0.
  • Occupation description and activity structure: O*NET 30.0 Database, USDOL/ETA, CC BY 4.0.
  • Bands, personalization weights and action plans are JobRiskAI editorial layers; method and limitations on the methodology page.