ペットグルーマー
食品調理・サービスAI露出度
- データ出典: BLS公表時点: 2026-08
中程度· 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
0.000
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
0.14
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95%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 |
|---|---|
Answer telephones and schedule appointments.O*NET Task ID 5074 | 1.0 |
Respond to questions from patrons, and provide information about animals, such as behavior, habitat, breeding habits, or facility activities.O*NET Task ID 5076 | 1.0 |
Collect and record animal information, such as weight, size, physical condition, treatments received, medications given, and food intake.O*NET Task ID 5078 | 1.0 |
Examine and observe animals to detect signs of illness, disease, or injury.O*NET Task ID 5075 | 0.5 |
Find homes for stray or unwanted animals.O*NET Task ID 5086 | 0.5 |
Sell pet food and supplies.O*NET Task ID 5093 | 0.5 |
Advise pet owners on how to care for their pets' health.O*NET Task ID 21150 | 0.5 |
Feed and water animals according to schedules and feeding instructions.O*NET Task ID 5072 | 0.0 |
Provide treatment to sick or injured animals, or contact veterinarians to secure treatment.O*NET Task ID 5077 | 0.0 |
Perform animal grooming duties, such as washing, brushing, clipping, and trimming coats, cutting nails, and cleaning ears.O*NET Task ID 5079 | 0.0 |
Exercise animals to maintain their physical and mental health.O*NET Task ID 5080 | 0.0 |
Order, unload, and store feed and supplies.O*NET Task ID 5081 | 0.0 |
Mix food, liquid formulas, medications, or food supplements according to instructions, prescriptions, and knowledge of animal species.O*NET Task ID 5082 | 0.0 |
Clean and disinfect surgical equipment.O*NET Task ID 5083 | 0.0 |
Discuss with clients their pets' grooming needs.O*NET Task ID 5084 | 0.0 |
Observe and caution children petting and feeding animals in designated areas to ensure the safety of humans and animals.O*NET Task ID 5085 | 0.0 |
Adjust controls to regulate specified temperature and humidity of animal quarters, nurseries, or exhibit areas.O*NET Task ID 5087 | 0.0 |
Anesthetize and inoculate animals, according to instructions.O*NET Task ID 5088 | 0.0 |
Transfer animals between enclosures to facilitate breeding, birthing, shipping, or rearrangement of exhibits.O*NET Task ID 5089 | 0.0 |
Install, maintain, and repair animal care facility equipment, such as infrared lights, feeding devices, and cages.O*NET Task ID 5090 | 0.0 |
Train animals to perform certain tasks.O*NET Task ID 5091 | 0.0 |
Do facility laundry and clean, organize, maintain, and disinfect animal quarters, such as pens and stables, and equipment, such as saddles and bridles.O*NET Task ID 20132 | 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®, Eloundou et al. (2023): see full notices on the Credits page