Not Very Resilient

Last Update: 6/19/2026

AI Resilience Score for Order Clerks:

27.3%

Median Score

Meaningful human contribution

Low

Long-term employer demand

Low

Sustained economic opportunity

Med

Our confidence in this score:
Medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient order clerk work is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from four AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, and Will Robots Take My Job. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For order clerks, all seven sources had data, and most agreed on high AI exposure: AI Resilience Model, Microsoft, and Will Robots Take My Job all flagged this role as heavily automatable, though Anthropic rated exposure medium. That partial split keeps confidence at medium. Weak demand and pay signals pulled the score down, landing order clerks at "Not Very Resilient."

AI Resilience Report forOrder Clerks

$44,660 median salary8,000 annual openingsSOC Code: 43-4151.00

Order Clerks are less resilient to AI impacts than most occupations, according to our analysis of 7 sources.

Order Clerks are labeled "Not Very Resilient" because the core of this job, entering orders, matching quantities and SKUs, and updating inventory records, is exactly the kind of high-volume, repetitive data work that AI handles quickly and accurately. Autonomous systems can now scan barcodes, update warehouse management systems, and route products without any human involvement, and the BLS already projects a 3 percent decline in information clerk employment through 2034 as these tools become standard.

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This role is not very resilient

Order Clerks are labeled "Not Very Resilient" because the core of this job, entering orders, matching quantities and SKUs, and updating inventory records, is exactly the kind of high-volume, repetitive data work that AI handles quickly and accurately. Autonomous systems can now scan barcodes, update warehouse management systems, and route products without any human involvement, and the BLS already projects a 3 percent decline in information clerk employment through 2034 as these tools become standard.

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Analysis of Current AI Resilience

Order Clerks

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Order Clerks jobs?

The good news first: most of what's changing in order processing today looks more like augmentation than full replacement — at least for now. According to a CliftonLarsonAllen analysis from April 2026 [1], document AI streamlines purchase order, advance ship notice, and packing list processing by automatically matching quantities, SKUs, and delivery dates, but the technology still depends on data quality, governance, and appropriate human oversight for accuracy, compliance, and trust in outputs. Industry data confirms how powerful this is becoming: the 2026 MHI and Deloitte Annual Industry Report [2] found that agentic AI specifically has the potential to quickly eliminate high volume repetitive tasks, proactively address disruptions, enhance forecasting precision, and improve overall visibility within the supply chain.

A supply-chain recruiter's February 2026 outlook [3] is more blunt, noting that manual inventory counting, data processing, and basic order entry are rapidly disappearing — when a pallet arrives at a modern distribution center today, autonomous systems scan the barcodes instantly, update the WMS, and direct automated guided vehicles to the correct put-away location. The tasks AI handles least well — handling customer complaints, recommending products, and coordinating tricky shipments — still need a human voice on the other end.

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AI Adoption

How fast is AI adoption growing for Order Clerks?

Adoption is moving fast, but not uniformly. The Bureau of Labor Statistics [4] projects that overall employment of information clerks is projected to decline 3 percent from 2024 to 2034 — a real drop, but smaller than scary headlines suggest, partly because about 149,200 openings for information clerks are projected each year, on average, over the decade — all expected to result from the need to replace workers who transfer to other occupations or exit the labor force. The World Economic Forum's Future of Jobs Report [5] similarly warns of a sharp fall in roles, including various clerical roles, such as cashiers and ticket clerks, as well as administrative assistants, printing workers and accountants and auditors.

Why is adoption speeding up? Money. Inbound Logistics' January 2026 outlook [6] describes 2026 as the year of practical AI in operations: triaging exceptions, reacting to weather, verifying invoices, tuning routing in real time, sensing demand signals and flexing capacity, and the MHI/Deloitte survey [2] found that 56% of organizations expect to increase their spending on supply chain innovation with 52% planning to spend over $1 million.

What slows things down is reassuring: AI struggles with messy exceptions, customer empathy, and judgment calls. Brookings research [7] emphasizes that workers who learn to reallocate their time toward higher-value tasks tend to benefit most — so leaning into communication, problem-solving, and supplier relationships is a smart move for anyone in this role today.

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Will AI replace Order Clerks?

Will AI replace Order Clerks?

In part. We think AI will eventually automate a real share of this work, but the transition opens doors for people who move quickly and build the right skills.

The core tasks of order entry are already in AI's crosshairs. Autonomous systems can scan barcodes, update warehouse management software, and match purchase orders to shipments faster than any person [3]. The World Economic Forum flags clerical roles broadly as among those facing sharp declines [5], and our own scorecard puts this occupation at a 27.3% AI Resilience Score, which is well below average.

What still needs a human is real: handling customer complaints, sorting out messy exceptions, and coordinating tricky shipments all require judgment and empathy that AI handles poorly [1]. The Bureau of Labor Statistics does project roughly 149,200 openings per year for information clerks through 2034, mostly from turnover rather than growth [4], so the field does not disappear overnight.

The smarter play is to treat this role as a launching pad. The communication skills, supply chain knowledge, and vendor relationships you build here transfer directly into logistics coordination, customer success, or operations roles. Research from Brookings finds that workers who shift their time toward higher-value tasks tend to come out ahead [7]. Learn the tools, then move up.

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Latest AI news for Order Clerks

As AI tools increasingly impact clerical roles, students eyeing "Order Clerk" careers should be aware of the evolving landscape. For instance, California's courts are testing AI to draft orders, showcasing AI's potential to streamline tasks traditionally done by clerks. Meanwhile, reports from Australia highlight that clerks face significant displacement risks, with a vast number of jobs at stake. Embracing AI resilience by developing skills that complement AI technology can help future Order Clerks thrive in a changing work environment.

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.

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

52% ResilienceSupplemental

Notify departments when supplies of specific items are low, or when orders would deplete available supplies.

2

48% ResilienceCore Task

File copies of orders received, or post orders on records.

3

45% ResilienceCore Task

Receive and respond to customer complaints.

4

42% ResilienceSupplemental

Adjust inventory records to reflect product movement.

5

40% ResilienceCore Task

Recommend merchandise or services that will meet customers' needs.

6

35% ResilienceSupplemental

Calculate and compile order-related statistics, and prepare reports for management.

7

28% ResilienceCore Task

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.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

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