Desenvolvedores de Software
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
0.288
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
0.53
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, 14% 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 % |
|---|---|
Modify existing software to correct errors, to adapt it to new hardware, or to upgrade interfaces and improve performance.15-1133 | 6.650762.6 |
Modify existing software to correct errors, allow it to adapt to new hardware, or to improve its performance.15-1132 | 2.678625.2 |
Analyze user needs and software requirements to determine feasibility of design within time and cost constraints.15-1132 | 0.33663.2 |
Design, develop and modify software systems, using scientific analysis and mathematical models to predict and measure outcome and consequences of design.15-1132 | 0.31242.9 |
Design or develop software systems, using scientific analysis and mathematical models to predict and measure outcome and consequences of design.15-1133 | 0.12271.2 |
Analyze information to determine, recommend, and plan computer specifications and layouts, and peripheral equipment modifications.15-1132 | 0.11021.0 |
Store, retrieve, and manipulate data for analysis of system capabilities and requirements.15-1133 | 0.10121.0 |
Consult with customers about software system design and maintenance.15-1132 | 0.07800.7 |
Prepare reports or correspondence concerning project specifications, activities, or status.15-1133 | 0.06370.6 |
Consult with customers or other departments on project status, proposals, or technical issues, such as software system design or maintenance.15-1133 | 0.04520.4 |
| 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. | |
Coordinate software system installation and monitor equipment functioning to ensure specifications are met. | —0 |
Supervise the work of programmers, technologists and technicians and other engineering and scientific personnel. | —0 |
Determine system performance standards. | —0 |
Train users to use new or modified equipment. | —0 |
Recommend purchase of equipment to control dust, temperature, and humidity in area of system installation. | —0 |
Coordinate installation of software system. | —0 |
Confer with data processing or project managers to obtain information on limitations or capabilities for data processing projects. | —0 |
Monitor functioning of equipment to ensure system operates in conformance with specifications. | —0 |
Supervise and assign work to programmers, designers, technologists, technicians, or other engineering or scientific personnel. | —0 |
Use microcontrollers to develop control signals, implement control algorithms, or measure process variables, such as temperatures, pressures, or positions. | —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 |
|---|---|
Analyze information to determine, recommend, and plan installation of a new system or modification of an existing system.O*NET Task ID 21661 | 1.0 |
Analyze user needs and software requirements to determine feasibility of design within time and cost constraints.O*NET Task ID 21662 | 1.0 |
Confer with systems analysts, engineers, programmers and others to design systems and to obtain information on project limitations and capabilities, performance requirements and interfaces.O*NET Task ID 21664 | 1.0 |
Coordinate installation of software system.O*NET Task ID 21666 | 1.0 |
Design, develop and modify software systems, using scientific analysis and mathematical models to predict and measure outcomes and consequences of design.O*NET Task ID 21667 | 1.0 |
Determine system performance standards.O*NET Task ID 21668 | 1.0 |
Develop or direct software system testing or validation procedures, programming, or documentation.O*NET Task ID 21669 | 1.0 |
Modify existing software to correct errors, adapt it to new hardware, or upgrade interfaces and improve performance.O*NET Task ID 21670 | 1.0 |
Monitor functioning of equipment to ensure system operates in conformance with specifications.O*NET Task ID 21671 | 1.0 |
Obtain and evaluate information on factors such as reporting formats required, costs, or security needs to determine hardware configuration.O*NET Task ID 21672 | 1.0 |
Train users to use new or modified equipment.O*NET Task ID 21679 | 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
Occupation information
Alterações recentes que afetam esta ocupação
jul. de 2026: ADP/Stanford linked postings-payroll study of ~7,000 IT workers (2019-2025) prices tasks separately within IT jobs. Advising others on the design or use of technologies is among 8 higher-wage activities; five tasks lost compensation value in 2023-2025 vs 2019-2022, including "develop models of systems, processes, or products." Effect sizes were not published.
[Fonte: ADP Research / Stanford Digital Economy Lab, Unbundling Jobs (July 2026)]jun. de 2026: Cited by ADP Research as an example of a high-AI-exposure occupation. Group-level payroll data shows employment in high-exposure occupations down 0.2% year over year overall and down 4.3% for workers aged 22-25 (33rd consecutive monthly decline). The percentages are for the high-exposure group, not for this occupation alone.
[Fonte: ADP Research, Canaries Dashboard (June 2026)]abr. de 2026: Korean youth employment data shows codified knowledge work most vulnerable to AI displacement. Professional/technical services lost 98,000 workers in Jan 2026 (worst since 2013). Entry-level coding tasks at highest risk.
[Fonte: Econmingle / National Assembly Budget Office (2026)]