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AI Automation Index
Task-level automation exposure for Billing and Posting Clerks: 26 O*NET tasks scored against their work activities, plus the simulator.
Automation Exposure
26 of 26 tasks scored
Median Salary
BLS OEWS, May 2025 — this exact occupation
Employment Level
404,060 people hold this job — size, not growth
Projected 2025–35
37,000 openings a year · BLS line item
BLS OEWS publishes 54 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$26,900 – $64,330
Highest medians
Lowest medians
State figures come from the 43-3021 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Importance-weighted mean of the scored tasks. This is the headline index.
Share of weighted tasks in hands-on or machine-operating work activities.
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Share in documenting, recording, and administrative activities.
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
26 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
19 tasks
3 tasks
4 tasks
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Verify accuracy of billing data and revise any errors.
data analysis — Transactional data verification is rule-based and reliable
Prepare itemized statements, bills, or invoices and record amounts due for items purchased or services rendered.
data analysis — Maintain financial records; human reconciles exceptions
Keep records of invoices and support documents.
data analysis — Maintain financial records; human reconciles exceptions
Operate typing, adding, calculating, or billing machines.
physical manipulation — Physical operation of office machines and jams
Create billing documents, shipping labels, credit memorandums, or credit forms.
text generation — Standard financial documents drafted from data
Perform general administrative tasks, such as answering telephones, scheduling appointments, and ordering supplies or equipment.
decision support — Calendar scheduling automatable; exceptions need human judgment
Contact customers to obtain or relay account information.
interpersonal — Account discussions need human relationship and judgment
Review compiled data on operating costs and revenues to set rates.
data analysis — Financial analysis from given data; human reviews
Answer inquiries regarding rates, routing, or procedures.
information retrieval — AI explains policies; human handles live questions
Load machines with statements, cancelled checks, or envelopes to prepare statements for distribution to customers or stuff envelopes by hand.
physical manipulation — Physical operation of office machines and jams
Track accumulated hours and dollar amounts charged to each client job to calculate client fees for professional services, such as legal or accounting services.
data analysis — Maintain operational records in structured systems
Consult sources, such as rate books, manuals, or insurance company representatives, to determine specific charges or information such as rules, regulations, or government tax and tariff information.
information retrieval — Search files and references for info
Review documents, such as purchase orders, sales tickets, charge slips, or hospital records, to compute fees or charges due.
data analysis — Cost calculation from structured inputs
Compile reports of cost factors, such as labor, production, storage, and equipment.
data analysis — Reports and budgets drafted; human owns assumptions
Resolve discrepancies in accounting records.
data analysis — Reconciling transaction records is rule-based matching
Compute credit terms, discounts, shipment charges, or rates for goods or services to complete billing documents.
data analysis — Shipping cost calculation from rates and weights
Perform bookkeeping work, including posting data or keeping other records concerning costs of goods or services or the shipment of goods.
data analysis — Maintain financial records; human reconciles exceptions
Monitor equipment to ensure proper operation.
visual inspection — Sensor/vision monitoring possible, but physical verification and accountability remain human
Update manuals when rates, rules, or regulations are amended.
text generation — Prepare reference materials from source content
Weigh envelopes containing statements to determine correct postage and affix postage, using stamps or metering equipment.
physical manipulation — Physical weighing of parcels on scale
Compare previously prepared bank statements with canceled checks and reconcile discrepancies.
data analysis — Reconciling transaction records is rule-based matching
Route statements for mailing or over-the-counter delivery to customers.
physical manipulation — Routing physical mail requires sorting by hand
Return checks to customers or retrieve checks returned to customers in error, adjusting accounts and answering inquiries about errors as necessary.
data analysis — Financial calculations fully automatable
Post stop-payment notices to prevent payment of protested checks.
text generation — Providing routine information to coworkers is text-based
Verify signatures and required information on checks.
data analysis — Transactional data verification is rule-based and reliable
Fix minor problems, such as equipment jams, and notify repair personnel of major equipment problems.
text generation — Reporting maintenance problems is routine messaging
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<script src="https://giniloh.com/embed.js" async></script> Community Sentiment
Do you agree with the AI automation risk score calculated for this occupation?
Method
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
See the full method →Related Article
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