遺伝学者
生命・物理・社会科学AI露出度
- データ出典: BLS公表時点: 2026-08
非常に高い· 相対
低い4段階の相対区分非常に高い職業群単位の値
尺度・母数・出典
4段階の相対区分(低い / 中程度 / 高い / 非常に高い)
BLS雇用見通し表の詳細職業831件が母数。値は NEM(全国雇用マトリクス)コード単位で付与されるため、同じ NEM コードの職業は同じバンドになります
- データ出典: Anthropic公表時点: 2026-03
0.245
0.000ここに掲載された値の範囲0.745尺度・母数・出典
- データ出典: ILO公表時点: 2025
0.40
0.09ここに掲載された値の範囲0.70職業群単位の値
尺度・母数・出典
生成AI露出度指数、公開されたまま0–1
ISCO-08の職業小分類単位 — 同じコードの職業はすべて同じ値
当サイトの算出であり、ILOが公表した数値ではありません。当サイトがILOデータセットに結び付けた職業1,012件のうち、この値以上のものは39%です。
この出典がどのような性格の値か
BLSの区分は絶対水準ではなく相対順位であり、一次測定でもありません。複数の既存研究が付けた職業別パーセンタイル順位を4段階にまとめた値です。雇用や賃金の予測でもなく、導入確率でもなく、自動化と増強を区別しません。
Task-level exposure
非表示の作業 31 件を表示| 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