遗传学家
生命、物理与社会科学AI暴露度
- 数据来源: BLS发布时间: 2026-08
很高· 相对
低四级相对区间很高职业群单位数值
尺度 · 母数 · 来源
四级相对类别(低 / 中等 / 高 / 很高)
以BLS就业预测表中831个细分职业为基数。取值按 NEM(全国就业矩阵)代码给定,因此共用同一 NEM 代码的职业得到相同分档
- 数据来源: Anthropic发布时间: 2026-03
0.245
0.000此处所载数值的范围0.745尺度 · 母数 · 来源
- 数据来源: ILO发布时间: 2025
0.40
0.09此处所载数值的范围0.70职业群单位数值
尺度 · 母数 · 来源
生成式AI暴露度指数,按发布原值0–1
ISCO-08职业小类单位 — 共用同一代码的职业取值相同
本站计算,并非国际劳工组织发布的数值。在本站与 ILO 数据集相连的 1,012 个职业中,达到或高于此值的占 39%。
该来源发布的是什么性质的数值
BLS的类别是相对排位而非绝对水平,也不是一手测量:它把多项已发表研究给出的职业百分位排名归并为四个等级。它不是就业或工资预测,不是采用概率,也不区分自动化与增强。
Task-level exposure
显示隐藏的 31 项工作| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Develop new software applications or customize existing applications to meet specific scientific project needs.19-1029 | 0.288744.6 | 0.304858.7 |
Prepare reports, manuscripts, and meeting presentations.19-1029 | 0.072711.2 | 0.02745.3 |
Analyze large molecular datasets such as raw microarray data, genomic sequence data, and proteomics data for clinical or basic research purposes.19-1029 | 0.03575.5 | —0 |
Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.19-1029 | 0.02784.3 | 0.00250.5 |
Prepare results of experimental findings for presentation at professional conferences or in scientific journals.19-1029 | 0.02624.0 | 0.01432.8 |
Instruct others in the selection and use of bioinformatics tools.19-1029 | 0.02323.6 | 0.00470.9 |
Provide statistical and computational tools for biologically based activities such as genetic analysis, measurement of gene expression, and gene function determination.19-1029 | 0.01802.8 | 0.03606.9 |
Communicate research results through conference presentations, scientific publications, or project reports.19-1029 | 0.01722.7 | 0.00150.3 |
Develop data models and databases.19-1029 | 0.01211.9 | 0.00611.2 |
Search scientific literature to select and modify methods and procedures most appropriate for genetic research goals.19-1029 | 0.01171.8 | 0.01202.3 |
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 |
|---|---|
Write grants and papers or attend fundraising events to seek research funds.O*NET Task ID 16817 | 1.0 |
Design and maintain genetics computer databases.O*NET Task ID 16824 | 1.0 |
Confer with information technology specialists to develop computer applications for genetic data analysis.O*NET Task ID 16825 | 1.0 |
Maintain laboratory notebooks that record research methods, procedures, and results.O*NET Task ID 16832 | 1.0 |
Create or use statistical models for the analysis of genetic data.O*NET Task ID 16837 | 1.0 |
Plan curatorial programs for species collections that include acquisition, distribution, maintenance, or regeneration.O*NET Task ID 16819 | 0.5 |
Participate in the development of endangered species breeding programs or species survival plans.O*NET Task ID 16820 | 0.5 |
Instruct medical students, graduate students, or others in methods or procedures for diagnosis and management of genetic disorders.O*NET Task ID 16822 | 0.5 |
Evaluate, diagnose, or treat genetic diseases.O*NET Task ID 16823 | 0.5 |
Collaborate with biologists and other professionals to conduct appropriate genetic and biochemical analyses.O*NET Task ID 16826 | 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