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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
32.9%
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%).
Med
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%).
Low
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.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forProduction, Planning, and Expediting Clerks
Production, Planning, and Expediting Clerks are less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
The career of Production, Planning, and Expediting Clerks is labeled as "Not Very Resilient" because many of its routine tasks, like tracking data and creating schedules, are being automated by AI and software tools. These technologies can handle repetitive work efficiently, reducing the need for human involvement in these areas.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is not very resilient
The career of Production, Planning, and Expediting Clerks is labeled as "Not Very Resilient" because many of its routine tasks, like tracking data and creating schedules, are being automated by AI and software tools. These technologies can handle repetitive work efficiently, reducing the need for human involvement in these areas.
Read full analysisAnalysis of Current AI Resilience
Production & Planning Clerk
Updated Quarterly • Last Update: 2/17/2026
How is AI changing Production & Planning Clerk jobs?
Many clerical tasks in production planning are already done by software or AI today. For example, O*NET notes that clerks “compile information such as production rates and materials inventories” into status reports [1] – work that databases and even simple AI tools can handle automatically. Industry experts say that modern systems can go further: a McKinsey report explains that AI-driven planning can automatically adjust schedules when demand or supply changes, factoring new forecasts into production plans in real time [2].
On the factory floor, warehouses increasingly use robots and smart conveyors, with AI coordinating their tasks. (TIME magazine reports that Amazon’s new warehouse uses ten times more robots and advanced AI than before – and still created 30% more skilled jobs for people, by freeing them from repetitive chores [3].)
That said, many human-heavy tasks remain. Things like talking through delays with a vendor or tweaking plans when a machine breaks still need a person’s judgment. In fact, observers note AI is best at “jobs people don’t want to do,” letting humans focus on more skilled parts of the job [3].
In short, most data-tracking and scheduling work can be (and is being) automated or assisted by AI, but the human role shifts to managing exceptions and using common sense in unpredictable situations.
Sources
How fast is AI adoption growing for Production & Planning Clerk?
Firms may adopt AI tools faster or slower depending on costs, benefits, and workforce issues. One reason to move quickly is a tight labor market: TIME notes that U.S. factories face worker shortages (many Baby Boomers retiring) [3], so companies want tools to keep production on track. Studies also show big payoffs: McKinsey found that end-to-end AI planning can boost revenue a few percent while cutting inventory and costs significantly [2].
These gains encourage investment in AI.
However, switching to AI is not instant. It often requires new software, data systems, and training. McKinsey reports about 80% of companies still use traditional manual planning processes today [2], because moving to “autonomous” systems means overhauling procedures and learning new skills.
Upfront costs and workflow changes make adoption gradual. In practice, many firms start by using AI tools for routine parts of the job (like automated reporting or simple scheduling) while people handle the complex parts. Socially, people seem comfortable automating dull work so long as managers stay involved.
In the end, experts agree human skills – communication, problem-solving, oversight – remain very important, even as AI helps speed up data and scheduling tasks [3] [2]. This balanced approach lets businesses grow without simply replacing people.
Sources
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More Career Info
Career: Production, Planning, and Expediting Clerks
They make sure products are made and delivered on time by organizing schedules and tracking supplies.
Parent Careers
Employment & Wage Data
Median Wage
$57,770
Jobs (2024)
388,800
Growth (2024-34)
-1.8%
Annual Openings
34,100
Education
High school diploma or equivalent
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
Confer with department supervisors or other personnel to assess progress and discuss needed changes.
2
Confer with establishment personnel, vendors, or customers to coordinate production or shipping activities and to resolve complaints or eliminate delays.
3
Examine documents, materials, or products and monitor work processes to assess completeness, accuracy, and conformance to standards and specifications.
4
Revise production schedules when required due to design changes, labor or material shortages, backlogs, or other interruptions, collaborating with management, marketing, sales, production, or engineer...
5
Maintain files, such as maintenance records, bills of lading, or cost reports.
6
Provide documentation and information to account for delays, difficulties, or changes to cost estimates.
7
Establish and prepare product construction directions and locations and information on required tools, materials, equipment, numbers of workers needed, and cost projections.
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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