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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 salary trends and employment data, plus 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. Remember, look for tasks that you can automate in your job to make you more productive, while focus on developing the areas that AI cannot easily automate. Plus, explore the technology section to see what tools and software you'll likely encounter in this role and therefore can look for AI alternatives.
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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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Salary Trends
Historical salary data for Postal Service Mail Sorters, Processors, and Processing Machine Operators
While lower salaries may seem less attractive for automation investment, advancing AI capabilities and decreasing technology costs can still impact these roles. Focus on developing uniquely human skills to stay competitive.
*Based on US labor data
Employment Trends
Historical employment levels for Postal Service Mail Sorters, Processors, and Processing Machine Operators
Increasing employment suggests growing demand for this role, indicating potential career stability and opportunities, but keep an eye on automation trends.
*Based on US labor data
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.
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.
Abilities
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.
Technology Used
Tools, software, and technological systems you use in your work.
Expert Insights
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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
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LinkedIn Learning
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ADPList
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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 this role 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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