AI exposure by occupation, O*NET 43-4021.00
Will AI replace Correspondence Clerks?
Correspondence Clerks: AI can already handle 13 of 17 tasks; the work mostly needs a standard-tier model.
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Every task, scored
The 17 tasks O*NET 30.3 lists for Correspondence Clerks, from most to least exposed. 13 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Present clear and concise explanations of governing rules and regulations. | Observed | Efficient | |
| Compile data pertinent to manufacture of special products for customers. | Estimated | Efficient | |
| 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. | Observed | Efficient | |
| Ensure that money collected is properly recorded and secured. | Estimated | Efficient | |
| Process orders for goods requested in correspondence. | Estimated | Efficient | |
| Compute costs of records furnished to requesters, and write letters to obtain payment. | Estimated | Frontier | |
| Route correspondence to other departments for reply. | Estimated | Efficient | |
| Complete form letters in response to requests or problems identified by correspondence. | Estimated | Standard | |
| Confer with company personnel regarding feasibility of complying with writers' requests. | Estimated | Standard | |
| Prepare records for shipment by certified mail. | Estimated | Efficient | |
| Gather records pertinent to specific problems, review them for completeness and accuracy, and attach records to correspondence as necessary. | Estimated | Standard | |
| Prepare documents and correspondence, such as damage claims, credit and billing inquiries, invoices, and service complaints. | Observed | Efficient | |
| Type acknowledgment letters to persons sending correspondence. | Observed | Standard | |
| Read incoming correspondence to ascertain nature of writers' concerns and to determine disposition of correspondence. | Observed | Efficient | |
| Compile data from records to prepare periodic reports. | Observed | Efficient | |
| Maintain files and control records to show correspondence activities. | Estimated | Efficient | |
| 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. | Estimated | No tier |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 6 of 17 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 11 of 17. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
A standard-tier model or lower covers 89% of the role's importance-weighted task work. 94% of the work is something AI can address at some tier, and 6% is hands-on.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 4,290
- Median annual wage
- $46,800
- Middle half of earners
- $38,610 to $56,090
- Projected change, 2024 to 2034
- -5.6%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Credit Authorizers, Checkers, and Clerks 66% skill overlap, about 12 months to move Exposure75
- Office Clerks, General 63% skill overlap, about 13 months to move Exposure53
- File Clerks 62% skill overlap, about 14 months to move Exposure69
- Insurance Claims and Policy Processing Clerks 61% skill overlap, about 14 months to move Exposure78
- Postal Service Clerks 61% skill overlap, about 14 months to move Exposure33
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Correspondence Clerks and AI
Will AI replace Correspondence Clerks?
AI already handles 13 of the 17 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 63 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by -5.6% from 2024 to 2034.
What is the AI exposure of Correspondence Clerks?
63 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 6 of the 17 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 11 are estimated from each task's O*NET work activity.
Which Correspondence Clerks tasks can AI already do?
The tasks with the highest exposure are: Present clear and concise explanations of governing rules and regulations; Compile data pertinent to manufacture of special products for customers; 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. They are three of the 13 tasks that reach 60 or more.
What AI model tier does this role need?
A standard-tier model or lower covers 89% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Correspondence Clerks, and what do they earn?
4,290 people in the United States, with a median annual wage of $46,800 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of -5.6% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Correspondence Clerks. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/correspondence-clerks
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