Banqueiros de Investimento
Negócios e FinançasExposição 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
0.572
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
0.62
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 % |
|---|---|
Interpret data on price, yield, stability, future investment-risk trends, economic influences, and other factors affecting investment programs.13-2051 | 0.077333.3 |
Present oral or written reports on general economic trends, individual corporations, and entire industries.13-2051 | 0.041818.0 |
Draw charts and graphs, using computer spreadsheets, to illustrate technical reports.13-2051 | 0.024310.5 |
Monitor fundamental economic, industrial, and corporate developments by analyzing information from financial publications and services, investment banking firms, government agencies, trade publications, company sources, or personal interviews.13-2051 | 0.02239.6 |
Recommend investments and investment timing to companies, investment firm staff, or the public.13-2051 | 0.02159.2 |
Prepare plans of action for investment, using financial analyses.13-2051 | 0.01888.1 |
Inform investment decisions by analyzing financial information to forecast business, industry, or economic conditions.13-2051 | 0.01616.9 |
Evaluate and compare the relative quality of various securities in a given industry.13-2051 | 0.01004.3 |
| Not observed on any surface — 10 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. | |
Monitor developments in the fields of industrial technology, business, finance, and economic theory. | —0 |
Determine the prices at which securities should be syndicated and offered to the public. | —0 |
Contact brokers and purchase investments for companies, according to company policy. | —0 |
Collaborate with investment bankers to attract new corporate clients to securities firms. | —0 |
Conduct financial analyses related to investments in green construction or green retrofitting projects. | —0 |
Determine the financial viability of alternative energy generation or fuel production systems, based on power source or feedstock quality, financing costs, potential revenue, and total project costs. | —0 |
Evaluate financial viability and potential environmental benefits of cleantech innovations to secure capital investments from sources such as venture capital firms and government green fund grants. | —0 |
Forecast or analyze financial costs associated with climate change or other environmental factors, such as clean water supply and demand. | —0 |
Identify potential financial investments that are environmentally sound, considering issues such as carbon emissions and biodiversity. | —0 |
Research and recommend environmentally-related financial products, such as energy futures, water rights, carbon credits, government environmental funds, and cleantech industry funds and company stocks. | —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 |
|---|---|
Advise clients on aspects of capitalization, such as amounts, sources, or timing.O*NET Task ID 21579 | 0.5 |
Analyze financial or operational performance of companies facing financial difficulties to identify or recommend remedies.O*NET Task ID 21580 | 0.5 |
Assess companies as investments for clients by examining company facilities.O*NET Task ID 21581 | 0.5 |
Collaborate on projects with other professionals, such as lawyers, accountants, or public relations experts.O*NET Task ID 21582 | 0.5 |
Collaborate with investment bankers to attract new corporate clients.O*NET Task ID 21583 | 0.5 |
Conduct financial analyses related to investments in green construction or green retrofitting projects.O*NET Task ID 21584 | 0.5 |
Confer with clients to restructure debt, refinance debt, or raise new debt.O*NET Task ID 21585 | 0.5 |
Create client presentations of plan details.O*NET Task ID 21586 | 0.5 |
Determine the prices at which securities should be syndicated and offered to the public.O*NET Task ID 21587 | 0.5 |
Draw charts and graphs, using computer spreadsheets, to illustrate technical reports.O*NET Task ID 21589 | 0.5 |
Develop and maintain client relationships.O*NET Task ID 21588 | 0.0 |
Supervise, train, or mentor junior team members.O*NET Task ID 21604 | 0.0 |
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
Informação ocupacional
Alterações recentes relacionadas com esta ocupação
out. de 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.
[Fonte: 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.