保険査定人
ビジネス・金融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
0.082
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
0.45
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25%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 % |
|---|---|---|
Negotiate claim settlements or recommend litigation when settlement cannot be negotiated.13-1031 | 0.0100100.0 | 0.00000.0 |
Verify and analyze data used in settling claims to ensure that claims are valid and that settlements are made according to company practices and procedures. | —0 | 0.0100100.0 |
Analyze information gathered by investigation and report findings and recommendations. | —0 | 0.00000.0 |
Enter claim payments, reserves and new claims on computer system, inputting concise yet sufficient file documentation. | —0 | 0.00000.0 |
Report overpayments, underpayments, and other irregularities. | —0 | 0.00000.0 |
| Not observed on any surface — 24 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. | ||
Examine claims forms and other records to determine insurance coverage. | —0 | —0 |
Review police reports, medical treatment records, medical bills, or physical property damage to determine the extent of liability. | —0 | —0 |
Investigate and assess damage to property and create or review property damage estimates. | —0 | —0 |
Interview or correspond with agents and claimants to correct errors or omissions and to investigate questionable claims. | —0 | —0 |
Interview or correspond with claimants, witnesses, police, physicians, or other relevant parties to determine claim settlement, denial, or review. | —0 | —0 |
Investigate, evaluate, and settle claims, applying technical knowledge and human relations skills to effect fair and prompt disposal of cases and to contribute to a reduced loss ratio. | —0 | —0 |
Adjust reserves or provide reserve recommendations to ensure that reserve activities are consistent with corporate policies. | —0 | —0 |
Resolve complex, severe exposure claims, using high service oriented file handling. | —0 | —0 |
Pay and process claims within designated authority level. | —0 | —0 |
Examine claims investigated by insurance adjusters, further investigating questionable claims to determine whether to authorize payments. | —0 | —0 |
Refer questionable claims to investigator or claims adjuster for investigation or settlement. | —0 | —0 |
Collect evidence to support contested claims in court. | —0 | —0 |
Confer with legal counsel on claims requiring litigation. | —0 | —0 |
Contact or interview claimants, doctors, medical specialists, or employers to get additional information. | —0 | —0 |
Maintain claim files, such as records of settled claims and an inventory of claims requiring detailed analysis. | —0 | —0 |
Present cases and participate in their discussion at claim committee meetings. | —0 | —0 |
Attend mediations or trials. | —0 | —0 |
Supervise claims adjusters to ensure that adjusters have followed proper methods. | —0 | —0 |
Conduct detailed bill reviews to implement sound litigation management and expense control. | —0 | —0 |
Examine titles to property to determine validity and act as company agent in transactions with property owners. | —0 | —0 |
Communicate with reinsurance brokers to obtain information necessary for processing claims. | —0 | —0 |
Prepare reports to be submitted to company's data processing department. | —0 | —0 |
Obtain credit information from banks and other credit services. | —0 | —0 |
Communicate with former associates to verify employment record or to obtain background information regarding persons or businesses applying for credit. | —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 |
|---|---|
Enter claim payments, reserves and new claims on computer system, inputting concise yet sufficient file documentation.O*NET Task ID 21429 | 1.0 |
Communicate with reinsurance brokers to obtain information necessary for processing claims.O*NET Task ID 21440 | 1.0 |
Prepare reports to be submitted to company's data processing department.O*NET Task ID 21441 | 1.0 |
Examine claims forms and other records to determine insurance coverage.O*NET Task ID 21417 | 0.5 |
Analyze information gathered by investigation and report findings and recommendations.O*NET Task ID 21418 | 0.5 |
Review police reports, medical treatment records, medical bills, or physical property damage to determine the extent of liability.O*NET Task ID 21419 | 0.5 |
Investigate and assess damage to property and create or review property damage estimates.O*NET Task ID 21420 | 0.5 |
Interview or correspond with agents and claimants to correct errors or omissions and to investigate questionable claims.O*NET Task ID 21421 | 0.5 |
Interview or correspond with claimants, witnesses, police, physicians, or other relevant parties to determine claim settlement, denial, or review.O*NET Task ID 21422 | 0.5 |
Investigate, evaluate, and settle claims, applying technical knowledge and human relations skills to effect fair and prompt disposal of cases and to contribute to a reduced loss ratio.O*NET Task ID 21423 | 0.5 |
Attend mediations or trials.O*NET Task ID 21443 | 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