地質技術者
生命・物理・社会科学AI露出度
- データ出典: BLS公表時点: 2026-08
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
0.229
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
0.26
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76%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 32 件を表示| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Test and analyze samples to determine their content and characteristics, using laboratory apparatus or testing equipment.19-4041 | 0.018047.3 | 0.174271.3 |
Compile, log, or record testing or operational data for review and further analysis.19-4041 | 0.007519.6 | 0.051020.9 |
Create photographic recordings of information, using equipment.19-4041 | 0.005313.9 | 0.00241.0 |
Interview individuals, and research public databases in order to obtain information.19-4041 | 0.003810.1 | 0.01425.8 |
Assemble, maintain, or distribute information for library or record systems.19-4041 | 0.00184.6 | 0.00231.0 |
Assemble, operate, or maintain field or laboratory testing, measuring, or mechanical equipment.19-4041 | 0.00184.6 | —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 |
|---|---|
Assemble, maintain, or distribute information for library or record systems.O*NET Task ID 22272 | 1.0 |
Test and analyze samples to determine their content and characteristics, using laboratory apparatus or testing equipment.O*NET Task ID 22262 | 0.5 |
Compile, log, or record testing or operational data for review and further analysis.O*NET Task ID 22264 | 0.5 |
Prepare notes, sketches, geological maps, or cross-sections.O*NET Task ID 22265 | 0.5 |
Prepare or review professional, technical, or other reports regarding sampling, testing, or recommendations of data analysis.O*NET Task ID 22267 | 0.5 |
Read and study reports in order to compile information and data for geological and geophysical prospecting.O*NET Task ID 22269 | 0.5 |
Interview individuals, and research public databases in order to obtain information.O*NET Task ID 22270 | 0.5 |
Plot information from aerial photographs, well logs, section descriptions, or other databases.O*NET Task ID 22271 | 0.5 |
Plan and direct activities of workers who operate equipment to collect data.O*NET Task ID 22274 | 0.5 |
Record readings in order to compile data used in prospecting for oil or gas.O*NET Task ID 22276 | 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