Escriturarios de Folha e Ponto
Escritório e Suporte AdministrativoExposição à IA
- Fonte dos dados: BLSPublicado: 2026-08
Muito alto· relativa
BaixoQuatro faixas relativasMuito altoValor por grupo ocupacional
Escala, base e fonte
Quatro faixas relativas (Baixo / Moderado / Alto / Muito alto)
831 ocupações detalhadas da tabela de projeções de emprego do BLS. O valor é atribuído por código da National Employment Matrix (NEM), pelo que as ocupações que partilham um código NEM recebem a mesma banda
- Fonte dos dados: AnthropicPublicado: 2026-03
0.049
0.000Intervalo dos valores aqui apresentados0.745Escala, base e fonte
Índice de exposição observada, 0–1 tal como publicado
Mapeado sobre tarefas O*NET
- Fonte dos dados: ILOPublicado: 2025
0.61
0.09Intervalo dos valores aqui apresentados0.70Valor por grupo ocupacional
Escala, base e fonte
Índice de exposição à IA generativa, 0–1 tal como publicado
Grupo de base CITP-08 — todas as ocupações com o mesmo código recebem este valor
Calculado por este site, não publicado pela OIT: das 1.012 ocupações que este site liga ao conjunto de dados da OIT, 3% atingem ou superam este valor.
Que tipo de valor esta fonte publica
A categoria de BLS é uma posição relativa, não um nível absoluto, e também não é uma medição de primeira mão: agrupa em quatro faixas as posições percentis da ocupação em vários estudos publicados. Não é uma previsão de emprego ou de salários, não é uma probabilidade de adoção e não distingue automação de aumento.
Task-level exposure
Apenas tarefas expostas| 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 | 0.010456.8 | 0.009772.3 |
Compute wages and deductions, and enter data into computers.43-3051 | 0.005329.0 | —0 |
Issue and record adjustments to pay related to previous errors or retroactive increases.43-3051 | 0.002614.2 | —0 |
Conduct verifications of employment. | —0 | 0.003727.7 |
| 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 |
Review time sheets, work charts, wage computation, and other information to detect and reconcile payroll discrepancies. | —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 |
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