BETA
Updated: Mar 20
BETA
Updated: Mar 20
Changing fast
Last Update: 3/13/2026
Your role’s AI Resilience Score is
18.6%
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are undergoing rapid transformation. Entry-level tasks may be automated, and career paths may look different in the near future.
AI Resilience Report for
Order Clerks
They help ensure products reach customers by processing orders, checking inventory, and coordinating with other departments to keep things running smoothly.
This role is changing fast
The career of order clerks is changing fast because many of their day-to-day tasks, like logging orders and calculating prices, are now done by computer systems and software. These routine tasks can be automated easily, which is why these jobs are becoming less common.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is changing fast
The career of order clerks is changing fast because many of their day-to-day tasks, like logging orders and calculating prices, are now done by computer systems and software. These routine tasks can be automated easily, which is why these jobs are becoming less common.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Changing fast5.6%
5.6%
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Changing fast9.0%
9.0%
Anthropic's Observed Exposure
AI Resilience
Based on observed patterns of how Claude is being used across occupational tasks in real conversations
Evolving57.3%
57.3%
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Changing fast4.8%
4.8%
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Changing fast15.2%
15.2%
Low Demand
Labor Market Outlook
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
-17.2%
Growth Percentile:
1.5%
Annual Openings:
8,000
Annual Openings Pct:
48.8%
Analysis of Current AI Resilience
Order Clerks
Updated Quarterly • Last Update: 2/17/2026
What's changing and what's not
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
AI in the real world
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
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
Adjust inventory records to reflect product movement.
3
Recommend merchandise or services that will meet customers' needs.
4
Receive and respond to customer complaints.
5
Calculate and compile order-related statistics, and prepare reports for management.
6
Attempt to sell additional merchandise or services to prospective or current customers by telephone or through visits.
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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