原子核物理学者
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
0.273
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
0.38
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48%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
露出のある作業のみ| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Perform complex calculations as part of the analysis and evaluation of data, using computers.19-2012 | 0.100090.9 | 0.0600100.0 |
Describe and express observations and conclusions in mathematical terms.19-2012 | 0.01009.1 | 0.00000.0 |
| Not observed on any surface — 8 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. | ||
Analyze data from research conducted to detect and measure physical phenomena. | —0 | —0 |
Report experimental results by writing papers for scientific journals or by presenting information at scientific conferences. | —0 | —0 |
Design computer simulations to model physical data so that it can be better understood. | —0 | —0 |
Teach physics to students. | —0 | —0 |
Write research proposals to receive funding. | —0 | —0 |
Collaborate with other scientists in the design, development, and testing of experimental, industrial, or medical equipment, instrumentation, and procedures. | —0 | —0 |
Observe the structure and properties of matter, and the transformation and propagation of energy, using equipment such as masers, lasers, and telescopes, to explore and identify the basic principles governing these phenomena. | —0 | —0 |
Develop theories and laws on the basis of observation and experiments, and apply these theories and laws to problems in areas such as nuclear energy, optics, and aerospace technology. | —0 | —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 |
|---|---|
Perform complex calculations as part of the analysis and evaluation of data, using computers.O*NET Task ID 10903 | 1.0 |
Describe and express observations and conclusions in mathematical terms.O*NET Task ID 10904 | 1.0 |
Report experimental results by writing papers for scientific journals or by presenting information at scientific conferences.O*NET Task ID 10906 | 1.0 |
Design computer simulations to model physical data so that it can be better understood.O*NET Task ID 10907 | 1.0 |
Develop theories and laws on the basis of observation and experiments, and apply these theories and laws to problems in areas such as nuclear energy, optics, and aerospace technology.O*NET Task ID 10911 | 1.0 |
Develop manufacturing, assembly, and fabrication processes of lasers, masers, infrared, and other light-emitting and light-sensitive devices.O*NET Task ID 10913 | 1.0 |
Write research proposals to receive funding.O*NET Task ID 21174 | 1.0 |
Analyze data from research conducted to detect and measure physical phenomena.O*NET Task ID 10905 | 0.5 |
Collaborate with other scientists in the design, development, and testing of experimental, industrial, or medical equipment, instrumentation, and procedures.O*NET Task ID 10908 | 0.5 |
Teach physics to students.O*NET Task ID 10912 | 0.5 |
Observe the structure and properties of matter, and the transformation and propagation of energy, using equipment such as masers, lasers, and telescopes, to explore and identify the basic principles governing these phenomena.O*NET Task ID 10910 | 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