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AI Automation Index
Will AI Replace Procurement Clerks?
Task-level automation exposure for Procurement Clerks: 19 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
67%
weighted task index
19 of 19 tasks scored
Median Salary
$50,580 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Medium
55,810 people hold this job — size, not growth
Projected 2025–35
-8.1%
employment change
3,700 openings a year · BLS line item
Pay by state
BLS OEWS publishes 53 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$30,940 – $62,880
Highest medians
District of Columbia $62,880
Massachusetts $60,110
New Hampshire $58,830
Minnesota $58,100
New Jersey $57,460
Lowest medians
Puerto Rico $30,940
Guam $38,100
Tennessee $38,710
Mississippi $46,270
South Dakota $46,690
State figures come from the 43-3061 row in the May 2025 state panel. 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 67%
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 45%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 27%
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 0/100
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
19 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) 71%
13 tasks
Medium exposure (≥ 35%) 25%
5 tasks
Low exposure (below 35%) 3%
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
#2539 · Core · 80% automatable
Track the status of requisitions, contracts, and orders.
data analysis — Maintain operational records in structured systems
Maintain operational records.
#2534 · Core · 75% automatable
Perform buying duties when necessary.
decision support — Ordering via systems automatable; human approves spend
Order materials, supplies, or equipment.
#2531 · Core · 72% automatable
Prepare purchase orders and send copies to suppliers and to departments originating requests.
text generation — Sending digital materials automatable; physical mailing human
Prepare documentation for contracts, transactions, or regulatory compliance. Send information, materials or documentation.
#2540 · Core · 82% automatable
Calculate costs of orders, and charge or forward invoices to appropriate accounts.
data analysis — Cost calculation from structured inputs
Calculate costs of goods or services.
#2538 · Core · 78% automatable
Compare prices, specifications, and delivery dates to determine the best bid among potential suppliers.
data analysis — Financial analysis from given data; human reviews
Analyze financial information.
#20786 · Core · 55% automatable
Approve and pay bills.
data analysis — Financial execution software-mediated; authorization human
Execute sales or other financial transactions.
#2545 · Core · 75% automatable
Maintain knowledge of all organizational and governmental rules affecting purchases, and provide information about these rules to organization staff members and to vendors.
information retrieval — AI curates updates; human maintains working knowledge
Maintain current knowledge related to work activities. Provide information to coworkers.
#2532 · Core · 62% automatable
Determine if inventory quantities are sufficient for needs, ordering more materials when necessary.
data analysis — System inventory monitoring automatable; physical audit human
Monitor inventories of products or materials.
#2541 · Core · 35% automatable
Check shipments when they arrive to ensure that orders have been filled correctly and that goods meet specifications.
visual inspection — AI can cross-check orders; physical verification human
Inspect shipments to ensure correct order fulfillment.
#2535 · Core · 50% automatable
Contact suppliers to schedule or expedite deliveries and to resolve shortages, missed or late deliveries, and other problems.
decision support — AI drafts shipping coordination; external negotiation human
Coordinate shipping activities with external parties.
#2537 · Core · 78% automatable
Prepare, maintain, and review purchasing files, reports and price lists.
data analysis — Detecting recording errors is deterministic pattern matching
Check data for recording errors. Prepare documentation for contracts, transactions, or regulatory compliance.
#2536 · Core · 85% automatable
Review requisition orders to verify accuracy, terminology, and specifications.
data analysis — Transactional data verification is rule-based and reliable
Verify accuracy of financial or transactional data.
#2533 · Core · 55% automatable
Respond to customer and supplier inquiries about order status, changes, or cancellations.
interpersonal — Account discussions need human relationship and judgment
Discuss account status or activity with customers or patrons.
#2546 · Core · 60% automatable
Monitor in-house inventory movement and complete inventory transfer forms for bookkeeping purposes.
information retrieval — Tracking via systems is digital; physical reconciliation needs humans
Track goods or materials.
#2542 · Core · 85% automatable
Compare suppliers' bills with bids and purchase orders to verify accuracy.
data analysis — Transactional data verification is rule-based and reliable
Verify accuracy of financial or transactional data.
#2544 · Core · 72% automatable
Locate suppliers, using sources such as catalogs and the internet, and interview them to gather information about products to be ordered.
information retrieval — Web research on goods/services, human verifies vendors
Obtain information about goods or services.
#2547 · Supplemental · 33% automatable
Monitor contractor performance, recommending contract modifications when necessary.
interpersonal — Supervising clerical staff is relational management work
Supervise clerical or administrative personnel.
#2548 · Supplemental · 72% automatable
Prepare invitation-of-bid forms, and mail forms to supplier firms or distribute forms for public posting.
text generation — Sending digital materials automatable; physical mailing human
Prepare documentation for contracts, transactions, or regulatory compliance. Send information, materials or documentation.
#20785 · Supplemental · 37% automatable
Train and supervise subordinates and other staff.
interpersonal — General personnel training is human-led and relational
Train personnel. Supervise clerical or administrative personnel.
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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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