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AI Automation Index
Will AI Replace Buyers and Purchasing Agents, Farm Products?
Task-level automation exposure for Buyers and Purchasing Agents, Farm Products: 9 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
55%
weighted task index
9 of 9 tasks scored
Median Salary
$77,710 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Very High
491,430 people hold this job — size, not growth
Projected 2025–35
+6.0%
employment change
47,200 openings a year · BLS roll-up 13-1020
Pay by state
BLS OEWS publishes 54 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$36,750 – $124,090
Highest medians
District of Columbia $124,090
New Jersey $93,250
Maryland $90,900
Virginia $89,210
Rhode Island $86,240
Lowest medians
Puerto Rico $36,750
Virgin Islands $52,480
Montana $62,850
Kentucky $65,240
Vermont $65,330
OEWS has no state row for this exact code, so figures come from the 13-1020 roll-up. States where the estimate was suppressed or too small to publish are absent.
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 55%
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 48%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 23%
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 2/100
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
9 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) 51%
4 tasks
Medium exposure (≥ 35%) 37%
4 tasks
Low exposure (below 35%) 11%
1 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
#12878 · Core · 60% automatable
Purchase, for further processing or for resale, farm products, such as milk, grains, or Christmas trees.
decision support — Purchase research automatable; human authorizes spend
Purchase products or services.
#12879 · Core · 35% automatable
Negotiate contracts with farmers for the production or purchase of farm products.
interpersonal — Contract negotiation needs mandate and accountability
Negotiate contracts with clients or service providers.
#12883 · Core · 70% automatable
Maintain records of business transactions and product inventories, reporting data to companies or government agencies as necessary.
data analysis — Enter and maintain data in information systems
Maintain data in information systems or databases. Communicate with government agencies.
#12882 · Core · 80% automatable
Review orders to determine product types and quantities required to meet demand.
data analysis — Organizational calculations from given data
Calculate data to inform organizational operations.
#12881 · Core · 45% automatable
Arrange for transportation or storage of purchased products.
decision support — Logistics coordination needs real-time human decisions
Coordinate logistics or other business operations.
#12885 · Core · 30% automatable
Coordinate or direct activities of workers engaged in cutting, transporting, storing, or milling products and maintaining records.
interpersonal — Employee supervision is accountability-bearing human work
Supervise employees.
#12880 · Supplemental · 55% automatable
Arrange for processing or resale of purchased products.
data analysis — Financial execution software-mediated; authorization human
Execute sales or other financial transactions.
#12884 · Supplemental · 70% automatable
Examine or test crops or products to estimate their value, determine their grade, or locate any evidence of disease or insect damage.
decision support — Valuation aided; human owns final value judgment
Determine the value of goods or services.
#12888 · Supplemental · 42% automatable
Estimate land production possibilities, surveying property and studying factors such as crop rotation history, soil fertility, or irrigation facilities.
visual inspection — Physical property inspection needs on-site sensory judgment
Evaluate condition of properties.
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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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