Commis a la Paie et au Pointage
Bureau et Soutien AdministratifExposition à l'IA
- Source des données: BLSPublié: 2026-08
Très élevée· relative
FaibleQuatre bandes relativesTrès élevéeValeur par groupe professionnel
Échelle, base et source
Quatre bandes relatives (Faible / Modérée / Élevée / Très élevée)
831 métiers détaillés du tableau des projections d'emploi du BLS. La valeur est attribuée par code de la National Employment Matrix (NEM), si bien que les métiers partageant un code NEM reçoivent la même bande
- Source des données: AnthropicPublié: 2026-03
0.049
0.000Étendue des valeurs présentées ici0.745Échelle, base et source
- Source des données: ILOPublié: 2025
0.61
0.09Étendue des valeurs présentées ici0.70Valeur par groupe professionnel
Échelle, base et source
Indice d'exposition à l'IA générative, 0–1 tel que publié
Groupe de base CITP-08 — tous les métiers partageant le code reçoivent cette valeur
Calculé par ce site, non publié par l'OIT : sur les 1 012 professions que ce site relie au jeu de données de l'OIT, 3% atteignent ou dépassent cette valeur.
Quelle est la nature de la valeur publiée par cette source
La catégorie BLS est un rang relatif et non un niveau absolu, et ce n'est pas une mesure de première main : elle regroupe en quatre bandes les rangs centiles du métier dans plusieurs études publiées. Ce n'est ni une prévision d'emploi ou de salaire, ni une probabilité d'adoption, et elle ne distingue pas automatisation et augmentation.
Task-level exposure
Tâches exposées uniquement| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Provide information to employees and managers on payroll matters, tax issues, benefit plans, and collective agreement provisions.43-3051 | 0.014258.9 | —0 |
Compute wages and deductions, and enter data into computers.43-3051 | 0.005522.8 | —0 |
Review time sheets, work charts, wage computation, and other information to detect and reconcile payroll discrepancies.43-3051 | 0.002711.2 | 0.0017100.0 |
Issue and record adjustments to pay related to previous errors or retroactive increases.43-3051 | 0.00177.1 | —0 |
| Not observed on any surface — 15 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | ||
Process and issue employee paychecks and statements of earnings and deductions. | —0 | —0 |
Compile employee time, production, and payroll data from time sheets and other records. | —0 | —0 |
Verify attendance, hours worked, and pay adjustments, and post information onto designated records. | —0 | —0 |
Record employee information, such as exemptions, transfers, and resignations, to maintain and update payroll records. | —0 | —0 |
Keep informed about changes in tax and deduction laws that apply to the payroll process. | —0 | —0 |
Distribute and collect timecards each pay period. | —0 | —0 |
Compile statistical reports, statements, and summaries related to pay and benefits accounts, and submit them to appropriate departments. | —0 | —0 |
Process paperwork for new employees and enter employee information into the payroll system. | —0 | —0 |
Keep track of leave time, such as vacation, personal, and sick leave, for employees. | —0 | —0 |
Conduct verifications of employment. | —0 | —0 |
Complete time sheets showing employees' arrival and departure times. | —0 | —0 |
Post relevant work hours to client files to bill clients properly. | —0 | —0 |
Complete, verify, and process forms and documentation for administration of benefits such as pension plans, and unemployment and medical insurance. | —0 | —0 |
Prepare and balance period-end reports, and reconcile issued payrolls to bank statements. | —0 | —0 |
Coordinate special programs, such as United Way campaigns, that involve payroll deductions. | —0 | —0 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Compute wages and deductions, and enter data into computers.O*NET Task ID 2516 | 1.0 |
Compile employee time, production, and payroll data from time sheets and other records.O*NET Task ID 2517 | 1.0 |
Review time sheets, work charts, wage computation, and other information to detect and reconcile payroll discrepancies.O*NET Task ID 2518 | 1.0 |
Verify attendance, hours worked, and pay adjustments, and post information onto designated records.O*NET Task ID 2519 | 1.0 |
Record employee information, such as exemptions, transfers, and resignations, to maintain and update payroll records.O*NET Task ID 2520 | 1.0 |
Issue and record adjustments to pay related to previous errors or retroactive increases.O*NET Task ID 2521 | 1.0 |
Complete time sheets showing employees' arrival and departure times.O*NET Task ID 2524 | 1.0 |
Post relevant work hours to client files to bill clients properly.O*NET Task ID 2525 | 1.0 |
Distribute and collect timecards each pay period.O*NET Task ID 2526 | 1.0 |
Complete, verify, and process forms and documentation for administration of benefits, such as pension plans, and unemployment and medical insurance.O*NET Task ID 2527 | 1.0 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page