生物化学家和生物物理学家
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
0.076
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 13 项工作| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Prepare reports or recommendations, based upon research outcomes.19-1021 | 0.053757.0 | 0.037980.1 |
Teach or advise undergraduate or graduate students or supervise their research.19-1021 | 0.012613.4 | —0 |
Research how characteristics of plants or animals are carried through successive generations.19-1021 | 0.00808.5 | 0.00173.6 |
Develop new methods to study the mechanisms of biological processes.19-1021 | 0.00353.7 | —0 |
Produce pharmaceutically or industrially useful proteins, using recombinant DNA technology.19-1021 | 0.00323.4 | 0.004810.1 |
Share research findings by writing scientific articles or by making presentations at scientific conferences.19-1021 | 0.00303.2 | —0 |
Study the chemistry of living processes, such as cell development, breathing and digestion, or living energy changes, such as growth, aging, or death.19-1021 | 0.00283.0 | —0 |
Investigate the nature, composition, or expression of genes or research how genetic engineering can impact these processes.19-1021 | 0.00262.8 | 0.00296.1 |
Research the chemical effects of substances, such as drugs, serums, hormones, or food, on tissues or vital processes.19-1021 | 0.00262.8 | —0 |
Study physical principles of living cells or organisms and their electrical or mechanical energy, applying methods and knowledge of mathematics, physics, chemistry, or biology.19-1021 | 0.00222.3 | —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 |
|---|---|
Prepare reports or recommendations, based upon research outcomes.O*NET Task ID 12929 | 1.0 |
Share research findings by writing scientific articles or by making presentations at scientific conferences.O*NET Task ID 12932 | 1.0 |
Write grant proposals to obtain funding for research.O*NET Task ID 21168 | 1.0 |
Develop new methods to study the mechanisms of biological processes.O*NET Task ID 12930 | 0.5 |
Manage laboratory teams or monitor the quality of a team's work.O*NET Task ID 12931 | 0.5 |
Develop or execute tests to detect diseases, genetic disorders, or other abnormalities.O*NET Task ID 12933 | 0.5 |
Develop or test new drugs or medications intended for commercial distribution.O*NET Task ID 12934 | 0.5 |
Study the mutations in organisms that lead to cancer or other diseases.O*NET Task ID 12935 | 0.5 |
Study spatial configurations of submicroscopic molecules, such as proteins, using x-rays or electron microscopes.O*NET Task ID 12936 | 0.5 |
Study the chemistry of living processes, such as cell development, breathing and digestion, or living energy changes, such as growth, aging, or death.O*NET Task ID 12937 | 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