Share and intensity of work current AI systems can materially affect.
SOC 53-7065
Stockers and Order Fillers AI displacement risk
Picking routes, inventory lookup, replenishment priorities, and warehouse slotting are increasingly shaped by software and robotics. Physical execution, exception handling, safety, and equipment operation remain important.
Likely potential for exposed tasks to move to software after workflow integration.
Automation depends heavily on facility design and capital spending. Workers who move toward inventory control, equipment operation, or safety coordination are better positioned.
Distribution
Where Stockers and Order Fillers sits across 620 tracked roles
Displacement pressure 54 — higher than 84% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-05-02. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
30 O*NET task statements matched to SOC 53-7065. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $37,330 (May 2025, US national). The latest BLS row matched SOC 53-7065.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Stockers and Order Fillers
SOC 53-7065 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 54/100 role score and are not an occupation forecast.
+1.1% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +1.6% GDP and 3.9% unemployment.
+5.9% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +8.3% GDP and 4.6% unemployment.
+33.6% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Stockers and Order Fillers
The current evidence import matched 30 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks30
SOC53-7065
- Core task / ID 23885
Take inventory or examine merchandise to identify items to be reordered or replenished.
- Core task / ID 23877
Answer customers' questions about merchandise and advise customers on merchandise selection.
- Core task / ID 23878
Receive and count stock items, and record data manually or on computer.
- Core task / ID 23900
Receive, unload, open, unpack, or issue sales floor merchandise.
- Core task / ID 23880
Stock shelves, racks, cases, bins, and tables with new or transferred merchandise.
- Core task / ID 23874
Pack and unpack items to be stocked on shelves in stockrooms, warehouses, or storage yards.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Pick and stage orders
Exposure 50, automation 42%, augmentation 26%.
Check inventory systems
Exposure 62, automation 44%, augmentation 42%.
Resolve stock exceptions
Exposure 38, automation 20%, augmentation 40%.
Maintain safe movement
Exposure 22, automation 10%, augmentation 24%.
TaskExposureAutomationAugmentation
Pick and stage orders5042%26%
Check inventory systems6244%42%
Resolve stock exceptions3820%40%
Maintain safe movement2210%24%
Transition pathways
Adjacent moves that preserve existing skills
adjacent role
ModerateInventory Control Specialist
Training horizon: 2-5 months. Skill overlap 78. Wage preservation signal 112.
- Audit cycle count errors
- Learn warehouse management systems
- Document stock exception causes
adjacent role
ModerateLogistics Coordinator
Training horizon: 4-8 months. Skill overlap 60. Wage preservation signal 118.
- Track shipments
- Build routing spreadsheets
- Practice vendor communication
Comparison guides
Compare the next move before you commit
2-5 months
Stockers and Order Fillers to Inventory Control Specialist
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Stockers and Order Fillers into Inventory Control Specialist.
4-8 months
Stockers and Order Fillers to Logistics Coordinator
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Stockers and Order Fillers into Logistics Coordinator.
What the AI risk score means for Stockers and Order Fillers
The displacement pressure score for Stockers and Order Fillers is 54. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Check inventory systems carries 44% automation pressure, while Check inventory systems carries 42% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $37,330 (May 2025, US national). Employment context: Large logistics and retail operations role with warehouse automation exposure. Typical education: No formal educational credential.
Wage vulnerability is 74, while transition feasibility is 66. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Warehouse automation is uneven
- Inventory systems skills transfer
- Safety and equipment skills matter
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Stockers and Order Fillers, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Inventory control
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Warehouse systems
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Safety procedures
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Exception handling
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Inventory Control Specialist, such as audit cycle count errors.
- By 90 days, compare internal openings and external postings for Inventory Control Specialist or Logistics Coordinator and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Stockers and Order Fillers
Will AI replace Stockers and Order Fillers?
Picking routes, inventory lookup, replenishment priorities, and warehouse slotting are increasingly shaped by software and robotics. Physical execution, exception handling, safety, and equipment operation remain important. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Stockers and Order Fillers work are most exposed to AI?
Check inventory systems and Pick and stage orders show the strongest automation pressure in this model. Check inventory systems and Resolve stock exceptions are better treated as AI-augmented work.
What should Stockers and Order Fillers learn next?
Start with Inventory control, Warehouse systems, Safety procedures. The most practical adjacent paths in this model are Inventory Control Specialist and Logistics Coordinator.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
International Labour Organization / 20 May 2025Generative AI and Jobs: A Refined Global Index of Occupational ExposureO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics