微生物学者
生命・物理・社会科学AI露出度
- データ出典: BLS公表時点: '26.08
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: '26.03
0.097
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: '25
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 8 件を表示| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Prepare technical reports and recommendations based upon research outcomes.19-1022 | 0.064864.1 | 0.031963.8 |
Examine physiological, morphological, and cultural characteristics, using microscope, to identify and classify microorganisms in human, water, and food specimens.19-1022 | 0.024424.1 | 0.013426.9 |
Conduct chemical analyses of substances such as acids, alcohols, and enzymes.19-1022 | 0.00454.4 | 0.00479.3 |
Observe action of microorganisms upon living tissues of plants, higher animals, and other microorganisms, and on dead organic matter.19-1022 | 0.00292.9 | —0 |
Isolate and maintain cultures of bacteria or other microorganisms in prescribed or developed media, controlling moisture, aeration, temperature, and nutrition.19-1022 | 0.00252.5 | —0 |
Research use of bacteria and microorganisms to develop vitamins, antibiotics, amino acids, grain alcohol, sugars, and polymers.19-1022 | 0.00212.1 | —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 technical reports and recommendations, based upon research outcomes.O*NET Task ID 3681 | 1.0 |
Examine physiological, morphological, and cultural characteristics, using microscope, to identify and classify microorganisms in human, water, and food specimens.O*NET Task ID 3675 | 0.5 |
Provide laboratory services for health departments, community environmental health programs, and physicians needing information for diagnosis and treatment.O*NET Task ID 3676 | 0.5 |
Investigate the relationship between organisms and disease, including the control of epidemics and the effects of antibiotics on microorganisms.O*NET Task ID 3678 | 0.5 |
Supervise biological technologists and technicians and other scientists.O*NET Task ID 3679 | 0.5 |
Study growth, structure, development, and general characteristics of bacteria and other microorganisms to understand their relationship to human, plant, and animal health.O*NET Task ID 3680 | 0.5 |
Study the structure and function of human, animal, and plant tissues, cells, pathogens, and toxins.O*NET Task ID 3682 | 0.5 |
Research use of bacteria and microorganisms to develop vitamins, antibiotics, amino acids, grain alcohol, sugars, and polymers.O*NET Task ID 3685 | 0.5 |
Monitor and perform tests on water, food, and the environment to detect harmful microorganisms or to obtain information about sources of pollution, contamination, or infection.O*NET Task ID 15213 | 0.5 |
Develop new products and procedures for sterilization, food and pharmaceutical supply preservation, or microbial contamination detection.O*NET Task ID 15214 | 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