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Postal Service Mail Sorters, Processors, and Processing Machine Operators
Postal Service Mail Sorters, Processors, and Processing Machine Operators
The 54% risk score reflects the overall automation risk of your profession on a scale of 0–100. The higher the score, the more likely parts of your role could be handled by AI, increasing efficiency, but also raising the possibility of job disruption. Nearly all jobs include tasks that are automatable to some degree.
In this role, you prepare incoming and outgoing mail for distribution for the united states postal service (usps). examine, sort, and route mail. load, operate, and occasionally adjust and repair mail processing, sorting, and canceling machinery. keep records of shipments, pouches, and sacks, and perform other duties related to mail handling within the postal service. includes postal service mail sorters and processors employed by usps contractors. Your job is considered Mid Risk for AI automation.
Below is your job's AI vulnerability profile with detailed breakdowns of tasks, knowledge areas, skills, and abilities. Each item includes AI risk scores and importance ratings to help you prioritize what to focus on. Plus, explore the technology section to see what tools and software you'll likely encounter in this role.
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In the meantime explore the sections below, and don't miss the What to do next? section for practical steps you can start today.
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On the job, you would
On-the-job activities and responsibilities that define your role. Each task is analyzed for automation potential and contributes to your overall AI risk assessment.
Directing items using computer-controlled equipment is highly automatable, as it involves repetitive tasks that can be efficiently handled by AI and machine learning systems.
Routing sorted mail involves repetitive tasks that can be automated with sorting machines, though human oversight may still be necessary for quality control.
Training new workers involves interpersonal communication and knowledge transfer, which are less automatable due to the need for human interaction and adaptability.
Distributing incoming mail is a repetitive task that can be automated with sorting machines, though human oversight may still be necessary for quality control.
Operating computerized equipment is highly automatable, as it involves repetitive tasks that can be efficiently handled by AI and machine learning systems.
Searching directories for addresses involves data retrieval that can be automated, but human oversight is needed to handle exceptions and ensure accuracy.
Clearing jams in sorting equipment requires physical intervention and problem-solving, which are less automatable due to the need for human presence and decision-making.
Knowledge
Theoretical knowledge and understanding required for your position. Knowledge areas are evaluated for AI replacement likelihood and factor into your risk score.
Administration and Management
2.17RiskAdministration and Management involve repetitive, data-driven tasks (e.g., scheduling, reporting, workflow automation) that AI can handle efficiently, while strategic decision-making remains partially human-centric.
Administrative
2.25RiskAdministrative tasks involve repetitive, rule-based processes that AI can automate efficiently with RPA and NLP.
Customer and Personal Service
2.4RiskThis domain includes both routine customer service tasks (automatable) and personal interaction needs (less automatable), with AI likely to handle 60% of potential automation in the next five years.
Production and Processing
2.46RiskProduction and Processing involve repetitive, structured tasks that AI can automate efficiently, such as quality control, data analysis, and workflow management.
Skills
Practical abilities and competencies you need to perform your job effectively. Skills are assessed for automation vulnerability and help determine your AI risk level.
Reading Comprehension
3Active Listening
2.88Writing
2.25Speaking
3Mathematics
2Critical Thinking
3Active Learning
2.12Learning Strategies
2.12Monitoring
3.12Abilities
Innate and learned capabilities that enable you to succeed in your role. Abilities are analyzed for AI replication potential and contribute to your overall risk assessment.
Oral Comprehension
3RiskOral comprehension involves nuanced understanding of speech, context, and tone, which AI is advancing but not yet fully automated in complex real-world scenarios.
Written Comprehension
3.12RiskWritten comprehension involves tasks like text analysis, summarization, and question-answering, which AI already excels at through advanced NLP models. These capabilities are likely to be fully automated within 5 years.
Oral Expression
3RiskOral Expression involves complex, context-dependent communication that requires nuance, adaptability, and real-time interaction, which current AI systems struggle to fully replicate, though some aspects like script generation may be automated.
Written Expression
2.5RiskWritten Expression involves nuanced understanding, creativity, and context, which AI can partially replicate but not fully, limiting automation potential in complex or original tasks.
Fluency of Ideas
2Fluency of Ideas involves complex, context-dependent creativity and adaptability that current AI lacks, even with advancements in generative models.
Problem Sensitivity
3Problem Sensitivity requires nuanced judgment, contextual understanding, and adaptability, which current AI systems lack. While AI can analyze data, true problem sensitivity involves human intuition, ethics, and creativity.
Deductive Reasoning
3RiskAI excels in structured deductive tasks but may struggle with complex, context-dependent reasoning requiring human intuition.
Inductive Reasoning
2.88RiskInductive reasoning involves pattern recognition and generalization, which AI already excels at through machine learning, with further advancements likely to enhance this capability in the next five years.
Information Ordering
3.12RiskThis human ability involves repetitive tasks that AI already performs well.
Technology Used
Tools, software, and technological systems you use in your work.
Expert Insights
Expert comments on the job, click on the expert to see their answers.
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What to do next?
Your job faces a moderate automation threat. A few timely moves can put you back in the safe zone. Choose your strategy below:
Recommended for Mid Risk:
- • Upskill: Develop skills that complement AI rather than compete with it
- • Use AI: Master AI tools to increase your efficiency and value
- • Pivot Smart: Consider transitioning to roles that require human judgment and creativity
- • Stay Alert: Get notified of industry changes that could affect your role
Each tab contains curated resources designed to help you take the next step. More resources will be added over time.
Top Learning Platforms
Coursera
Unlimited access to 2,000+ courses from top universities.
LinkedIn Learning
Short, practical videos for on-the-job upskilling.
ADPList
Free global mentorship from experienced professionals in design, product, and tech.
Skillshare
Hands-on creative workshops to build your portfolio.
Udemy
Affordable deep dives on tech, leadership & more.
Top Learning Platforms
Coursera
Unlimited access to 2,000+ courses from top universities.
LinkedIn Learning
Short, practical videos for on-the-job upskilling.
ADPList
Free global mentorship from experienced professionals in design, product, and tech.
Skillshare
Hands-on creative workshops to build your portfolio.
Udemy
Affordable deep dives on tech, leadership & more.
Frequently Asked Questions
Based on our analysis, a Postal Service Mail Sorters, Processors, and Processing Machine Operators has a 54% AI risk score, which is considered mid risk. While some tasks in this role may be automated, the profession as a whole is moderately vulnerable from complete replacement. The key is understanding which specific aspects of your job are most vulnerable, some of which are shown on this page.
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