Will AI replace Order Clerks?

Receive and process incoming orders for materials, merchandise, classified ads, or services such as repairs, installations, or rental of facilities. The percentage shown is a task-exposure model, not a prediction of certain job loss.

O*NET 30.3 · 43-4151.00 · modeled exposure, not guaranteed job loss
HIGH TASK EXPOSURE
84%
Estimated share of representative tasks exposed to current AI capabilities.
Task automation share
84%Automatable
Automatable84%
Augmentable6%
Hard to automate10%
Based on analysis of representative responsibilities and current AI capability maturity.
Category#
Admin & Ops
Back office / Ops
Modeled pay midpoint$
$88,700/yr
Directional estimate — verify locally
Time until impact
0–2 years
Earliest 2026 · widespread 2026–2027
Task-level replaceability
Representative tasks ranked from highest to lowest AI exposure.
Review orders for completeness according to reporting procedures and forward incomplete orders for further processing.94%
Obtain customers' names, addresses, and billing information, product numbers, and specifications of items to be purchased, and enter this information on order forms.85%
Recommend merchandise or services that will meet customers' needs.75%
Exception handling and organizational context8%
Discretion with sensitive decisions5%
Impact timeline
How AI assistance may move from early support to wider adoption.
2026Next2026–2027
Early impactAI assists with review orders for completeness according to reporting procedures and forward incomplete orders for further processing..
Role compressionRoutine workload shifts to AI-assisted systems.
Wider adoptionHuman work concentrates on exception handling and organizational context.
0–2 yearsdirectional confidence window
HOW AI CHANGES THIS JOBtyping the logic in plain English
01>Start with the real work done by Order Clerks.
02>AI can help with: Review orders for completeness according to reporting procedures and forward incomplete orders for further processing.
03>If a task is repetitive and easy to check, AI pressure goes up.
04>But a person is still needed for: Exception handling and organizational context.
05>Likely result: This role may shrink or change quickly, but job loss is not guaranteed.
06>Important: 84% is estimated task exposure—not a 84% chance of losing the job.
What AI can do
Review orders for completeness according to reporting procedures and forward incomplete orders for further processing.HIGH MATCH
Obtain customers' names, addresses, and billing information, product numbers, and specifications of items to be purchased, and enter this information on order forms.HIGH MATCH
Recommend merchandise or services that will meet customers' needs.MEDIUM-HIGH
How estimates work →
Your human moat

Exception handling and organizational context

MEDIUM-HIGH

Combined with discretion with sensitive decisions, this keeps a human in the loop.

Strength6.5
Similar-role comparison
RoleRisk
Order Clerks84%
Postal Service Clerks84%
File Clerks83%
Brokerage Clerks85%
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Why this score?

The model evaluates 3 representative core tasks.
A large share of the work is digital and repeatable.
Occupation and task language comes from O*NET 30.3.
The strongest human advantage is exception handling and organizational context.
Research basis

O*NET 30.3 occupation tasks plus the ILO 2025 exposure framework. Scores are directional estimates.

Read ILO research →
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