Analistas de Tesoreria

Negocios y Finanzas

Exposición a la IA

  • Fuente de datos: BLSPublicado: 2026-08

    Muy alto· relativa

    BajoCuatro bandas relativasMuy alto

    Valor 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

    Conjunto de datos de origen (descarga XLSX)

  • Fuente de datos: AnthropicPublicado: 2026-03

    0.220

    0.000Rango de los valores aquí recogidos0.745
    Escala, base y fuente

    Índice de exposición observada, 0–1 tal como se publica

    Mapeado sobre tareas de O*NET

    Conjunto de datos de origen

  • Fuente de datos: ILOPublicado: 2025

    0.62

    0.09Rango de los valores aquí recogidos0.70

    Valor 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.

    Conjunto de datos de origen

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

Solo tareas expuestas
TaskClaude.aiRaw / share %
Interpret results of financial analysis procedures.

13-2099

0.119014.8
Research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models.

13-2099

0.103812.9
Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.

13-2099

0.07669.5
Analyze financial or operational performance of companies facing financial difficulties to identify or recommend remedies.

13-2099

0.06197.7
Develop or implement risk-assessment models or methodologies.

13-2099

0.04605.7
Structure or negotiate deals, such as corporate mergers, sales, or acquisitions.

13-2099

0.04425.5
Employ financial models to develop solutions to financial problems or to assess the financial or capital impact of transactions.

13-2099

0.03053.8
Produce written summary reports of financial research results.

13-2099

0.02793.5
Identify, track, or maintain metrics for trading system operations.

13-2099

0.02713.4
Define or recommend model specifications or data collection methods.

13-2099

0.02593.2
Not observed on any surface — 48 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.
Collaborate in the development or testing of new analytical software to ensure compliance with user requirements, specifications, or scope.
—0
Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
—0
Consult traders or other financial industry personnel to determine the need for new or improved analytical applications.
—0
Confer with other financial engineers or analysts on trading strategies, market dynamics, or trading system performance to inform development of quantitative techniques.
—0
Collaborate with product development teams to research, model, validate, or implement quantitative structured solutions for new or expanded markets.
—0
Devise or apply independent models or tools to help verify results of analytical systems.
—0
Analyze pricing or risks of carbon trading products.
—0
Assess the potential impact of climate change on business financial issues, such as damage repairs, insurance costs, or potential disruptions of daily activities.
—0
Develop methods of assessing or measuring corporate performance in terms of environmental, social, and governance (ESG) issues.
—0
Develop solutions to help clients hedge carbon exposure or risk.
—0
Develop tools to assess green technologies or green financial products, such as green hedge funds or social responsibility investment funds.
—0
Develop contingency plans to deal with emergencies.
—0
Devise scenario analyses reflecting possible severe market events.
—0
Recommend ways to control or reduce risk.
—0
Plan, and contribute to development of, risk management systems.
—0
Gather risk-related data from internal or external resources.
—0
Document, and ensure communication of, key risks.
—0
Devise systems and processes to monitor validity of risk modeling outputs.
—0
Review or draft risk disclosures for offer documents.
—0
Consult financial literature to ensure use of the latest models or statistical techniques.
—0
Determine potential environmental impacts of new products or processes on long-term growth and profitability.
—0
Determine potential liability related to the use of more sustainable methods of product packaging, such as biodegradable food containers.
—0
Evaluate the risks and benefits involved in implementing green building technologies.
—0
Evaluate the risks related to green investments, such as renewable energy company stocks.
—0
Structure marketing campaigns to find buyers for new securities.
—0
Supervise, train, or mentor junior team members.
—0
Assess companies as investments for clients by examining company facilities.
—0
Evaluate capital needs of clients and assess market conditions to inform structuring of financial packages.
—0
Collaborate on projects with other professionals, such as lawyers, accountants, or public relations experts.
—0
Confer with clients to restructure debt, refinance debt, or raise new debt.
—0
Advise clients on aspects of capitalization, such as amounts, sources, or timing.
—0
Direct communications between corporate issuers of new securities and the general public.
—0
Arrange deals involving green investments in areas such as alternative energy product development, green technologies, or sustainable agriculture.
—0
Specialize in green financial instruments, such as socially responsible mutual funds or exchange-traded funds (ETF) that are comprised of green companies.
—0
Train others in fraud detection and prevention techniques.
—0
Research or evaluate new technologies for use in fraud detection systems.
—0
Prepare evidence for presentation in court.
—0
Negotiate with responsible parties to arrange for recovery of losses due to fraud.
—0
Conduct field surveillance to gather case-related information.
—0
Testify in court regarding investigation findings.
—0
Advise businesses or agencies on ways to improve fraud detection.
—0
Recommend actions in fraud cases.
—0
Lead, or participate in, fraud investigation teams.
—0
Interview witnesses or suspects and take statements.
—0
Create and maintain logs, records, or databases of information about fraudulent activity.
—0
Coordinate investigative efforts with law enforcement officers and attorneys.
—0
Obtain and serve subpoenas.
—0
Arrest individuals to be charged with fraud.
—0

Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page

Información ocupacional

Cambios recientes relacionados con esta ocupación

oct 2024: Brookings 2024 highlights finance as high-exposure AND low-bargaining-power: union representation in the finance sector is around 1%. Financial analysts face productivity tool-driven task change with minimal institutional counterweight.

[Fuente: Brookings 2024 — Generative AI, the American worker]

These summaries were written by AI Changing Work from the source linked with each one, and any figures in them are given as AI Changing Work summarised them; they can differ from the source's own wording and from figures shown elsewhere on this page, so check the source before relying on them. AI Changing Work matched this page's occupation to an O*NET occupation and chose, by its own judgment, case by case, which summaries relate to that O*NET occupation; a summary appearing here does not mean that its source names this occupation.