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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Not Very Resilient
Last Update: 4/23/2026
Your role’s AI Resilience Score is
27.0%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forOrder Clerks
Order Clerks are less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
The career of an order clerk is labeled as "Not Very Resilient" because many of their routine tasks, like filing orders and calculating costs, are now easily done by software. Automated systems and robotic process automation handle these tasks quickly and accurately, reducing the need for human input.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is not very resilient
The career of an order clerk is labeled as "Not Very Resilient" because many of their routine tasks, like filing orders and calculating costs, are now easily done by software. Automated systems and robotic process automation handle these tasks quickly and accurately, reducing the need for human input.
Read full analysisAnalysis of Current AI Resilience
Order Clerks
Updated Quarterly • Last Update: 2/17/2026
How is AI changing Order Clerks jobs?
Order clerks spend much of their day on routine data tasks – filing order forms, calculating prices and shipping costs, and checking customer details [1]. Today, most of these steps are done by software. For example, many companies use digital order systems and databases that automatically log orders and total up charges.
Because these tasks follow clear rules, governments report that clerical jobs are declining: general office clerk jobs are expected to drop about 7% by 2034 as machines take over simple record-keeping [2]. In practice, tools called robotic process automation (RPA) and order-management software perform filing and math quickly and without mistakes.
Other activities – like calling customers to upsell products or handling complaints – are less fully automated. Some businesses use AI chatbots or recommendation engines to suggest items and answer basic questions, but human workers often step in for tricky situations [1] [1]. For instance, a bot can give an order status or suggest accessories, but a customer with a problem usually still wants to talk to a person.
In short, computers now handle much of the boring data entry and calculations in order processing, while humans focus on the personal and unpredictable parts.
Sources
How fast is AI adoption growing for Order Clerks?
Whether companies adopt AI for these tasks depends on several factors. Many firms already use computer systems for orders — the O*NET survey shows order clerks routinely work with enterprise software and inventory databases [1]. This means the technology is available.
The cost matters too: order clerks earned about $36,600 a year on average [2]. If a digital system or AI robot costs less in the long run, businesses may switch. Large e-commerce or warehouse companies facing labor shortages may invest in automation faster.
On the other hand, small businesses with lower tech budgets may adopt slowly.
Social and legal issues play a role as well. Telemarketing and sales by phone are regulated, so a purely automated caller could run into legal traps. Many customers also trust humans more for complaints or complex questions.
For these reasons, AI is more likely to augment order clerks’ work (help with tasks like data entry) rather than fully replace them. In practice, routine parts of the job (filing, computing, data checks) are becoming computer-assisted [2] [1]. However, human skills like problem-solving, empathy, and creativity remain valuable – they are harder for AI to mimic.
Young workers in these roles can learn to use AI tools as helpers, ensuring they stay useful even as technology changes.
Sources
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More Career Info
Career: Order Clerks
They help ensure products reach customers by processing orders, checking inventory, and coordinating with other departments to keep things running smoothly.
Parent Careers
Employment & Wage Data
Median Wage
$44,660
Jobs (2024)
89,500
Growth (2024-34)
-17.2%
Annual Openings
8,000
Education
Some college, no degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Notify departments when supplies of specific items are low, or when orders would deplete available supplies.
2
File copies of orders received, or post orders on records.
3
Receive and respond to customer complaints.
4
Adjust inventory records to reflect product movement.
5
Recommend merchandise or services that will meet customers' needs.
6
Calculate and compile order-related statistics, and prepare reports for management.
7
Direct specified departments or units to prepare and ship orders to designated locations.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
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