How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Record information about financial status of customers and status of collection efforts.76
- Sort and file correspondence and perform miscellaneous clerical duties, such as answering correspondence and writing reports.76
- Contact insurance companies to check on status of claims payments and write appeal letters for denial on claims.76
- Arrange for debt repayment or establish repayment schedules, based on customers' financial situations.73
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Locate and monitor overdue accounts, using computers and a variety of automated systems.01
- Sort and file correspondence and perform miscellaneous clerical duties, such as answering correspondence and writing reports.02
- Contact insurance companies to check on status of claims payments and write appeal letters for denial on claims.03
- Persuade customers to pay amounts due on credit accounts, damage claims, or nonpayable checks, or to return merchandise.04
- Trace delinquent customers to new addresses by inquiring at post offices, telephone companies, credit bureaus, or through the questioning of neighbors.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Tax Examiners and Collectors, and Revenue Agents
Closely related work
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Closely related work
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Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
