Last Update: 3/6/2026
Your role’s AI Resilience Score is
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
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 an order clerk is labeled as "Changing fast" because many routine tasks like data entry, filing orders, and calculating prices are now automated by software. This means that computers are doing much of the repetitive work, which can reduce the need for human workers in these areas.
Read full analysisLearn more about how you can thrive in your career
Learn more about how you can thrive in your career
This role is changing fast
The career of an order clerk is labeled as "Changing fast" because many routine tasks like data entry, filing orders, and calculating prices are now automated by software. This means that computers are doing much of the repetitive work, which can reduce the need for human workers in these areas.
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
Microsoft's Working with AI
AI Applicability
Anthropic's Observed Exposure
AI Resilience
Will Robots Take My Job
Automation Resilience
Low Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
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.

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.

Help us improve this report.
Tell us if this analysis feels accurate or we missed something.
Share your feedback
Navigate your career with COACH, your free AI Career Coach. Research-backed, designed with career experts.
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
AI-generated estimates of task resilience over the next 3 years
Notify departments when supplies of specific items are low, or when orders would deplete available supplies.
Adjust inventory records to reflect product movement.
Recommend merchandise or services that will meet customers' needs.
Receive and respond to customer complaints.
Calculate and compile order-related statistics, and prepare reports for management.
Attempt to sell additional merchandise or services to prospective or current customers by telephone or through visits.
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.

© 2026 CareerVillage.org. All rights reserved.
The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.
Built with ❤️ by Sandbox Web
The AI Resilience Report is governed by CareerVillage.org’s Privacy Policy and Terms of Service. This site is not affiliated with Anthropic, Microsoft, or any other data provider and doesn't necessarily represent their viewpoints. This site is being actively updated, and may sometimes contain errors or require improvement in wording or data. To report an error or request a change, please contact air@careervillage.org.