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Postal Service Mail Carriers
Postal Service Mail Carriers
The 41% 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 sort and deliver mail for the united states postal service (usps). deliver mail on established route by vehicle or on foot. includes postal service mail carriers employed by usps contractors. Your job is considered Low 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.
Collecting charges is a task that can be automated with AI systems, though human interaction is often needed for customer service.
Sorting mail is a routine task that can be automated with AI systems and sorting machines, minimizing the need for human intervention.
Delivering mail involves physical presence and interaction, which is less automatable due to the need for human judgment and adaptability.
Routing mail involves decision-making and understanding of logistics, which requires human judgment and is less automatable.
The task of turning in money and receipts is largely administrative and could be automated with digital payment and receipt systems, reducing the need for manual handling by Postal Service Mail Carriers.
Signing for cash-on-delivery and registered mail involves administrative tasks that could be automated through digital signature and tracking systems, though some human oversight may still be required.
Redirecting mail based on address changes involves decision-making that can be partially automated, but human oversight is needed to handle exceptions and ensure accuracy.
Holding mail for customers involves physical handling and decision-making based on customer requests, which is less automatable due to the need for human judgment and interaction.
Bundling mail for delivery is a repetitive task that can be automated with sorting and packaging machines, though human oversight may still be necessary for quality control.
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
2.86RiskAdministration 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
2.47RiskAdministrative tasks involve repetitive, rule-based processes that AI can automate efficiently with RPA and NLP.
Sales and Marketing
3.15RiskSales and Marketing involve repetitive tasks (e.g., data analysis, email automation) that AI can handle, but require human judgment for relationship-building, creative strategy, and complex negotiations.
Customer and Personal Service
4.25RiskThis 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.
Personnel and Human Resources
2.18RiskPersonnel and Human Resources involves repetitive tasks like payroll, scheduling, and resume screening that AI can automate efficiently, with growing capabilities in data analysis and process optimization.
Production and Processing
2.73RiskProduction and Processing involve repetitive, structured tasks that AI can automate efficiently, such as quality control, data analysis, and workflow management.
Computers and Electronics
2.06RiskThe domain involves repetitive manufacturing, testing, and customer support tasks that AI can automate, with growing capabilities in complex design and analysis tasks.
Mathematics
2.35RiskAI already excels in computational mathematics, theorem proving, and problem-solving, with further advancements likely to automate more complex tasks in the next five years.
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
2.62Active Listening
3Writing
2.12Speaking
3Critical Thinking
3Active Learning
2Monitoring
2.62Social Perceptiveness
3Coordination
2.75Abilities
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
3RiskWritten 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
2.88RiskOral 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
2.25RiskWritten 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.
Originality
2Originality requires creative insight and novel synthesis of ideas, which AI currently lacks, though it may generate novel content based on patterns rather than true originality.
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
2.75RiskAI excels in structured deductive tasks but may struggle with complex, context-dependent reasoning requiring human intuition.
Inductive Reasoning
2.75RiskInductive 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.
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?
Great news — your role is fairly safe for now, but it's smart to stay proactive. Choose your strategy below:
Recommended for Low Risk:
- • Upskill: Focus on human-centric skills that AI can't easily replicate (creativity, emotional intelligence, strategic thinking)
- • Use AI: Learn to leverage AI tools to enhance your productivity and stay ahead of the curve
- • Stay Alert: Monitor changes in your field to maintain your competitive advantage
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 Carriers has a 41% AI risk score, which is considered low risk. While some tasks in this role may be automated, the profession as a whole is for now, relatively safe 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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