Takeover Tracker
52%high risk

Correspondence Clerks

Compose letters or electronic correspondence in reply to requests for merchandise, damage claims, credit and other information, delinquent accounts, incorrect billings, or unsatisfactory services. Duties may include gathering data to formulate reply and preparing correspondence.

Higher risk than 98% of occupations
Checking for existing plan...

How AI Impacts Each Task

21 tasks analyzed

Present clear and concise explanations of governing rules and regulations.

Risk: 69.8%AI: 51.4ObservedTime: 4%

Process orders for goods requested in correspondence.

Risk: 86.0%AI: 92EstimatedTime: 5%

Compose correspondence requesting medical information and records.

Risk: 70.2%AI: 52.42ObservedTime: 3%

Maintain files and control records to show correspondence activities.

Risk: 87.2%AI: 95EstimatedTime: 6%

Compose letters in reply to correspondence concerning such items as requests for merchandise, damage claims, credit information requests, delinquent accounts, incorrect billing, or unsatisfactory service.

Risk: 70.4%AI: 53.08ObservedTime: 8%

Obtain written authorization to access required medical information.

Risk: 80.0%AI: 77EstimatedTime: 3%

Ensure that money collected is properly recorded and secured.

Risk: 79.2%AI: 75EstimatedTime: 4%

Compile data pertinent to manufacture of special products for customers.

Risk: 85.2%AI: 90EstimatedTime: 3%

Read incoming correspondence to ascertain nature of writers' concerns and to determine disposition of correspondence.

Risk: 66.4%AI: 43.03ObservedTime: 8%

Compute costs of records furnished to requesters, and write letters to obtain payment.

Risk: 87.2%AI: 95EstimatedTime: 4%

Prepare documents and correspondence, such as damage claims, credit and billing inquiries, invoices, and service complaints.

Risk: 73.3%AI: 60.3ObservedTime: 8%

Review correspondence for format and typographical accuracy, assemble the information into a prescribed form with the correct number of copies, and submit it to an authorized official for signature.

Risk: 86.0%AI: 92EstimatedTime: 5%

Gather records pertinent to specific problems, review them for completeness and accuracy, and attach records to correspondence as necessary.

Risk: 61.6%AI: 30.87ObservedTime: 6%

Compile data from records to prepare periodic reports.

Risk: 87.2%AI: 95EstimatedTime: 6%

Complete form letters in response to requests or problems identified by correspondence.

Risk: 67.4%AI: 45.57ObservedTime: 5%

Respond to internal and external requests for the release of information contained in medical records, copying medical records, and selective extracts in accordance with laws and regulations.

Risk: 77.2%AI: 70EstimatedTime: 4%

Confer with company personnel regarding feasibility of complying with writers' requests.

Risk: 29.0%AI: 35EstimatedTime: 4%

Type acknowledgment letters to persons sending correspondence.

Risk: 70.1%AI: 52.28ObservedTime: 5%

Prepare records for shipment by certified mail.

Risk: 49.0%AI: 40EstimatedTime: 3%

Route correspondence to other departments for reply.

Risk: 88.0%AI: 97EstimatedTime: 4%

Submit completed documents to typists for typing in final form, and instruct typists in matters such as format, addresses, addressees, and the necessary number of copies.

Risk: 27.0%AI: 30EstimatedTime: 2%

Skill Impact Analysis

AI-Vulnerable Skills (6)

Reading Comprehension10%

High reliance on Reading Comprehension is a risk area. Consider developing complementary AI-resistant skills to maintain value.

Information Ordering5%

High reliance on Information Ordering is a risk area. Consider developing complementary AI-resistant skills to maintain value.

Mathematics10%

High reliance on Mathematics is a risk area. Consider developing complementary AI-resistant skills to maintain value.

Mathematics10%

Mathematics is AI-vulnerable but has moderate importance in this role. AI tools may handle this; focus on higher-value skills.

Memorization5%

Memorization is AI-vulnerable but has moderate importance in this role. AI tools may handle this; focus on higher-value skills.

Programming15%

Programming is AI-vulnerable but has moderate importance in this role. AI tools may handle this; focus on higher-value skills.

AI-Resistant Skills (11)

Adaptability/Flexibility85%

Adaptability/Flexibility is AI-resistant — strengthening this skill provides durable career protection.

Leadership88%

Leadership is AI-resistant — strengthening this skill provides durable career protection.

Social Perceptiveness90%

Social Perceptiveness is AI-resistant — strengthening this skill provides durable career protection.

Service Orientation82%

Service Orientation is AI-resistant — strengthening this skill provides durable career protection.

Complex Problem Solving75%

Complex Problem Solving is AI-resistant — strengthening this skill provides durable career protection.

Coordination70%

Coordination is AI-resistant — strengthening this skill provides durable career protection.

Negotiation85%

Negotiation is AI-resistant — strengthening this skill provides durable career protection.

Persuasion80%

Persuasion is AI-resistant — strengthening this skill provides durable career protection.

Recommended Courses

Courses matched to Correspondence Clerks skill gaps, ranked by relevance to your displacement risk profile.

Get personalized recommendations. Answer a few questions about your experience and skills to get course suggestions tailored specifically to you.

Upskill to Reduce Risk

Courses addressing your most AI-vulnerable skills

DataCampbeginner

SQL Fundamentals Skill Track

by DataCamp

21 hours$25/mo4.7Certificate
Addresses vulnerability: Information Ordering

Estimated Impact

-6.8pt risk+$2K/yr salary

AI-Augmentation Tools

Learn to work alongside AI and boost your productivity

Coursera

Creative Writing Specialization

by Wesleyan University

~8 weeks$49/mo4.7Certificate
Enhances AI augmentation: Writing

Estimated Impact

-5.6pt risk+$3K/yr salary

Strengthen Your Edge

Double down on skills AI can't replicate

Courseraintermediate

Leading People and Teams Specialization

by University of Michigan

~6 weeks$49/mo4.7Certificate
Strengthens resilience: Leadership

Estimated Impact

-3.8pt risk+$3K/yr salary

We may earn a commission when you enroll through our links, at no extra cost to you. This helps fund the Takeover Tracker.

Risk reduction and salary impact are estimates based on skill gap analysis, course relevance, and labor market data. Actual results vary by individual circumstance.

Alternate Career Paths

See all transitions

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Higher risk than 29% of other occupations

Insurance Claims Clerks

49%
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Median salary: $48,450

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Insurance Policy Processing Clerks

52%
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Higher risk than 98% of other occupations

Marketing Managers

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Higher risk than 38% of other occupations

Medical Secretaries

52%
High Risk

Median salary: $44,640

Higher risk than 98% of other occupations

Office Clerks, General

47%
Medium Risk

Median salary: $43,630

Higher risk than 95% of other occupations

Payroll and Timekeeping Clerks

59%
High Risk

Median salary: $55,290

Higher risk than 99% of other occupations

Receptionists and Information Clerks

41%
Medium Risk

Median salary: $37,230

Higher risk than 82% of other occupations

Sales Managers

25%
Medium Risk

Higher risk than 20% of other occupations

Secretaries and Administrative Assistants, Except Legal, Medical, and Executive

53%
High Risk

Median salary: $46,290

Higher risk than 99% of other occupations

Score History

Risk score over 2 scoring runs

+0.5

overall change

Education & Training

Percentage of workers at each education and training level

Education Level

High School Diploma50%
Post-Secondary Certificate29%
Associate's Degree18%
Bachelor's Degree4%

Prior Experience Needed

Work experience required to enter this job

None17%
Up to 1 month1%
6 months - 1 year20%
1-2 years22%
2-4 years31%
4-6 years10%
6-8 years1%

Training Provided After Hiring

How long it typically takes to learn on the job

None1%
Up to 1 month32%
1-3 months20%
3-6 months24%
6 months - 1 year6%
1-2 years17%

Last scored March 14, 2026 · Based on BLS employment data and O*NET task analysis