Analistas de Pesquisa Operacional
Computação e MatemáticaExposição à IA
- Fonte dos dados: BLSPublicado: '26.08
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: '26.03
0.429
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: '25
0.56
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, 8% 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 % |
|---|---|---|
Prepare management reports defining and evaluating problems and recommending solutions.15-2031 | 0.107825.5 | 0.023312.4 |
Develop business methods and procedures, including accounting systems, file systems, office systems, logistics systems, and production schedules.15-2031 | 0.087720.7 | 0.01166.2 |
Analyze information obtained from management to conceptualize and define operational problems.15-2031 | 0.075417.8 | 0.053728.6 |
Collaborate with senior managers and decision makers to identify and solve a variety of problems and to clarify management objectives.15-2031 | 0.052712.4 | 0.00422.2 |
Study and analyze information about alternative courses of action to determine which plan will offer the best outcomes.15-2031 | 0.044410.5 | 0.00643.4 |
Break systems into their component parts, assign numerical values to each component, and examine the mathematical relationships between them.15-2031 | 0.03939.3 | 0.069236.8 |
Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.15-2031 | 0.00631.5 | 0.00995.3 |
Define data requirements and gather and validate information, applying judgment and statistical tests.15-2031 | 0.00531.3 | 0.00955.1 |
Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.15-2031 | 0.00451.1 | —0 |
| Not observed on any surface — 5 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. | ||
Perform validation and testing of models to ensure adequacy and reformulate models as necessary. | —0 | —0 |
Specify manipulative or computational methods to be applied to models. | —0 | —0 |
Observe the current system in operation and gather and analyze information about each of the parts of component problems, using a variety of sources. | —0 | —0 |
Design, conduct, and evaluate experimental operational models in cases where models cannot be developed from existing data. | —0 | —0 |
Develop and apply time and cost networks to plan, control, and review large projects. | —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 |
|---|---|
Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.O*NET Task ID 7377 | 1.0 |
Break systems into their components, assign numerical values to each component, and examine the mathematical relationships between them.O*NET Task ID 7385 | 1.0 |
Specify manipulative or computational methods to be applied to models.O*NET Task ID 7386 | 1.0 |
Design, conduct, and evaluate experimental operational models in cases where models cannot be developed from existing data.O*NET Task ID 7388 | 1.0 |
Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.O*NET Task ID 7378 | 0.5 |
Analyze information obtained from management to conceptualize and define operational problems.O*NET Task ID 7379 | 0.5 |
Perform validation and testing of models to ensure adequacy, and reformulate models, as necessary.O*NET Task ID 7380 | 0.5 |
Collaborate with senior managers and decision makers to identify and solve a variety of problems and to clarify management objectives.O*NET Task ID 7381 | 0.5 |
Define data requirements, and gather and validate information, applying judgment and statistical tests.O*NET Task ID 7382 | 0.5 |
Study and analyze information about alternative courses of action to determine which plan will offer the best outcomes.O*NET Task ID 7383 | 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
Alterações recentes que afetam esta ocupação
mar. de 2026: New blog post analyzing AI impact on operations research analyst careers with 50% exposure and 32% automation risk.
[Fonte: AI Changing Work Blog]