Examinadores Financieros
Negocios y FinanzasExposición a la IA
- Fuente de datos: BLSPublicado: '26.08
Muy alto· relativa
BajoCuatro bandas relativasMuy altoValor por grupo ocupacional
Escala, base y fuente
Cuatro bandas relativas (Bajo / Moderado / Alto / Muy alto)
831 ocupaciones detalladas de la tabla de proyecciones de empleo de BLS. El valor se asigna por código de la National Employment Matrix (NEM), de modo que las ocupaciones que comparten un código NEM reciben la misma banda
- Fuente de datos: AnthropicPublicado: '26.03
0.043
0.000Rango de los valores aquí recogidos0.745Escala, base y fuente
Índice de exposición observada, 0–1 tal como se publica
Mapeado sobre tareas de O*NET
- Fuente de datos: ILOPublicado: '25
0.62
0.09Rango de los valores aquí recogidos0.70Valor por grupo ocupacional
Escala, base y fuente
Índice de exposición a la IA generativa, 0–1 tal como se publica
Grupo primario de la CIUO-08 — todas las ocupaciones con ese código reciben este valor
Calculado por este sitio, no publicado por la OIT: de las 1012 ocupaciones que este sitio vincula al conjunto de datos de la OIT, un 3% alcanza o supera este valor.
Qué tipo de cifra publica esta fuente
La categoría de BLS es un rango relativo, no un nivel absoluto, y tampoco es una medición de primera mano: agrupa en cuatro bandas los rangos percentiles de la ocupación en varios estudios publicados. No es una previsión de empleo ni de salarios, no es una probabilidad de adopción y no distingue entre automatización y aumento.
Task-level exposure
Ver 14 tareas ocultas| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Review and analyze new, proposed, or revised laws, regulations, policies, and procedures to interpret their meaning and determine their impact.13-2061 | 0.055990.5 | 0.0286100.0 |
Prepare reports, exhibits and other supporting schedules that detail an institution's safety and soundness, compliance with laws and regulations, and recommended solutions to questionable financial conditions.13-2061 | 0.00396.3 | —0 |
Recommend actions to ensure compliance with laws and regulations, or to protect solvency of institutions.13-2061 | 0.00203.2 | —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 |
|---|---|
Train other examiners in the financial examination process.O*NET Task ID 7322 | 1.0 |
Investigate activities of institutions to enforce laws and regulations and to ensure legality of transactions and operations or financial solvency.O*NET Task ID 7314 | 0.5 |
Review and analyze new, proposed, or revised laws, regulations, policies, and procedures to interpret their meaning and determine their impact.O*NET Task ID 7315 | 0.5 |
Plan, supervise, and review work of assigned subordinates.O*NET Task ID 7316 | 0.5 |
Recommend actions to ensure compliance with laws and regulations, or to protect solvency of institutions.O*NET Task ID 7317 | 0.5 |
Examine the minutes of meetings of directors, stockholders, and committees to investigate the specific authority extended at various levels of management.O*NET Task ID 7318 | 0.5 |
Prepare reports, exhibits, and other supporting schedules that detail an institution's safety and soundness, compliance with laws and regulations, and recommended solutions to questionable financial conditions.O*NET Task ID 7319 | 0.5 |
Review balance sheets, operating income and expense accounts, and loan documentation to confirm institution assets and liabilities.O*NET Task ID 7320 | 0.5 |
Review audit reports of internal and external auditors to monitor adequacy of scope of reports or to discover specific weaknesses in internal routines.O*NET Task ID 7321 | 0.5 |
Establish guidelines for procedures and policies that comply with new and revised regulations and direct their implementation.O*NET Task ID 7323 | 0.5 |
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
Occupation information
Cambios recientes que afectan a esta ocupación
abr 2026: ATE 0.42 by 2027 in SF Bay Tier 1. Part of the 91.7% of financial occupations crossing moderate-risk threshold in Tier 1 by 2027.
[Fuente: arXiv 2604.00186 (Gupta & Kumar, 2026)]mar 2026: Published evergreen blog analysis: AI exposure 63%, automation risk 46/100 in 2025.
[Fuente: AI Changing Work Blog]