AI exposure by occupation, O*NET 43-4151.00

Will AI replace Order Clerks?

Order Clerks: AI can already handle 5 of 19 tasks; the work mostly needs a standard-tier model.

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Every task, scored

The 19 tasks O*NET 30.3 lists for Order Clerks, from most to least exposed. 5 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Recommend type of packing or labeling needed on order. 90 Estimated Frontier 4.1
Verify customer and order information for correctness, checking it against previously obtained information as necessary. 80 Estimated Standard 4.2
Calculate and compile order-related statistics, and prepare reports for management. 80 Estimated Standard 4.1
Review orders for completeness according to reporting procedures and forward incomplete orders for further processing. 65 Estimated Efficient 4.5
Receive and respond to customer complaints. 65 Observed Standard 4.2
Direct specified departments or units to prepare and ship orders to designated locations. 50 Estimated Frontier 4.1
Recommend merchandise or services that will meet customers' needs. 40 Observed Efficient 4.3
Obtain customers' names, addresses, and billing information, product numbers, and specifications of items to be purchased, and enter this information on order forms. 30 Estimated Efficient 4.4
Prepare invoices, shipping documents, and contracts. 30 Estimated Efficient 4.3
Check inventory records to determine availability of requested merchandise. 30 Estimated Frontier 4.2
Confer with production, sales, shipping, warehouse, or common carrier personnel to expedite or trace shipments. 30 Estimated Efficient 4.1
Adjust inventory records to reflect product movement. 30 Estimated Efficient 4.1
Collect payment for merchandise, record transactions, and send items, such as checks or money orders for further processing. 30 Estimated Efficient 4.1
Compute total charges for merchandise or services and shipping charges. 30 Estimated Standard 4.0
Inform customers by mail or telephone of order information, such as unit prices, shipping dates, and any anticipated delays. 30 Estimated Standard 3.9
File copies of orders received, or post orders on records. 30 Estimated Efficient 3.9
Attempt to sell additional merchandise or services to prospective or current customers by telephone or through visits. 30 Estimated Standard 3.8
Notify departments when supplies of specific items are low, or when orders would deplete available supplies. 30 Estimated Efficient 3.7
Inspect outgoing work for compliance with customers' specifications. 20 Estimated Efficient 4.3

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 2 of 19 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 17 of 19. 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 84% of the role's importance-weighted task work. 100% of the work is something AI can address at some tier.

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
75,200
Median annual wage
$46,170
Middle half of earners
$39,660 to $54,310
Projected change, 2024 to 2034
-17.2%

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 Order Clerks and AI

Will AI replace Order Clerks?

AI already handles 5 of the 19 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 43 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 -17.2% from 2024 to 2034.

What is the AI exposure of Order Clerks?

43 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. 2 of the 19 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 17 are estimated from each task's O*NET work activity.

Which Order Clerks tasks can AI already do?

The tasks with the highest exposure are: Recommend type of packing or labeling needed on order; Verify customer and order information for correctness, checking it against previously obtained information as necessary; Calculate and compile order-related statistics, and prepare reports for management. They are three of the 5 tasks that reach 60 or more.

What AI model tier does this role need?

A standard-tier model or lower covers 84% of the role's importance-weighted task work. 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 Order Clerks, and what do they earn?

75,200 people in the United States, with a median annual wage of $46,170 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of -17.2% 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: Order Clerks. 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/order-clerks

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