艺术品估价师
艺术、设计、娱乐与媒体美国 · BLS 就业预测 2025–35：该 SOC 代码不在公布项目之列。
AI暴露度
- 数据来源: Anthropic发布时间: 2026-03
0.220
0.000此处所载数值的范围0.745尺度 · 母数 · 来源
- 数据来源: ILO发布时间: 2025
0.45
0.09此处所载数值的范围0.70职业群单位数值
尺度 · 母数 · 来源
生成式AI暴露度指数，按发布原值0–1
ISCO-08职业小类单位 — 共用同一代码的职业取值相同
本站计算，并非国际劳工组织发布的数值。在本站与 ILO 数据集相连的 1,012 个职业中，达到或高于此值的占 25%。
- 数据来源: OpenAI发布时间: 2023
0.662
0.000此处所载数值的范围0.844尺度 · 母数 · 来源
Task-level exposure
仅显示有暴露的工作| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Prepare requirements documentation for use by software developers.13-2099 | 0.080036.4 | 0.020028.6 |
Provide application or analytical support to researchers or traders on issues such as valuations or data.13-2099 | 0.080036.4 | 0.020028.6 |
Define or recommend model specifications or data collection methods.13-2099 | 0.030013.6 | 0.00000.0 |
Interpret results of financial analysis procedures.13-2099 | 0.01004.5 | 0.010014.3 |
Prepare written reports of investigation findings.13-2099 | 0.01004.5 | 0.00000.0 |
Recommend actions in fraud cases.13-2099 | 0.01004.5 | 0.00000.0 |
Evaluate business operations to identify risk areas for fraud.13-2099 | 0.00000.0 | 0.020028.6 |
Produce written summary reports of financial research results.13-2099 | 0.00000.0 | 0.00000.0 |
Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.13-2099 | 0.00000.0 | 0.00000.0 |
Gather financial documents related to investigations.13-2099 | 0.00000.0 | 0.00000.0 |
Advise businesses or agencies on ways to improve fraud detection.13-2099 | 0.00000.0 | —0 |
Research new financial products or analytics to determine their usefulness. | —0 | 0.00000.0 |
Create and maintain logs, records, or databases of information about fraudulent activity. | —0 | 0.00000.0 |
| Not observed on any surface — 31 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. | ||
Collaborate in the development or testing of new analytical software to ensure compliance with user requirements, specifications, or scope. | —0 | —0 |
Maintain or modify all financial analytic models in use. | —0 | —0 |
Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques. | —0 | —0 |
Consult traders or other financial industry personnel to determine the need for new or improved analytical applications. | —0 | —0 |
Confer with other financial engineers or analysts on trading strategies, market dynamics, or trading system performance to inform development of quantitative techniques. | —0 | —0 |
Research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models. | —0 | —0 |
Devise or apply independent models or tools to help verify results of analytical systems. | —0 | —0 |
Identify, track, or maintain metrics for trading system operations. | —0 | —0 |
Collaborate with product development teams to research, model, validate, or implement quantitative structured solutions for new or expanded markets. | —0 | —0 |
Analyze pricing or risks of carbon trading products. | —0 | —0 |
Assess the potential impact of climate change on business financial issues, such as damage repairs, insurance costs, or potential disruptions of daily activities. | —0 | —0 |
Develop methods of assessing or measuring corporate performance in terms of environmental, social, and governance (ESG) issues. | —0 | —0 |
Develop solutions to help clients hedge carbon exposure or risk. | —0 | —0 |
Develop tools to assess green technologies or green financial products, such as green hedge funds or social responsibility investment funds. | —0 | —0 |
Maintain knowledge of current events and trends in such areas as money laundering and criminal tools and techniques. | —0 | —0 |
Train others in fraud detection and prevention techniques. | —0 | —0 |
Research or evaluate new technologies for use in fraud detection systems. | —0 | —0 |
Prepare evidence for presentation in court. | —0 | —0 |
Negotiate with responsible parties to arrange for recovery of losses due to fraud. | —0 | —0 |
Conduct field surveillance to gather case-related information. | —0 | —0 |
Testify in court regarding investigation findings. | —0 | —0 |
Review reports of suspected fraud to determine need for further investigation. | —0 | —0 |
Lead, or participate in, fraud investigation teams. | —0 | —0 |
Interview witnesses or suspects and take statements. | —0 | —0 |
Design, implement, or maintain fraud detection tools or procedures. | —0 | —0 |
Document all investigative activities. | —0 | —0 |
Coordinate investigative efforts with law enforcement officers and attorneys. | —0 | —0 |
Conduct in-depth investigations of suspicious financial activity, such as suspected money-laundering efforts. | —0 | —0 |
Analyze financial data to detect irregularities in areas such as billing trends, financial relationships, and regulatory compliance procedures. | —0 | —0 |
Obtain and serve subpoenas. | —0 | —0 |
Arrest individuals to be charged with fraud. | —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 |
|---|---|
Prepare requirements documentation for use by software developers.O*NET Task ID 15982 | 1.0 |
Collaborate in the development or testing of new analytical software to ensure compliance with user requirements, specifications, or scope.O*NET Task ID 15985 | 1.0 |
Maintain or modify all financial analytic models in use.O*NET Task ID 15987 | 1.0 |
Produce written summary reports of financial research results.O*NET Task ID 15988 | 1.0 |
Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.O*NET Task ID 15990 | 1.0 |
Devise or apply independent models or tools to help verify results of analytical systems.O*NET Task ID 15996 | 1.0 |
Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.O*NET Task ID 15997 | 1.0 |
Provide application or analytical support to researchers or traders on issues such as valuations or data.O*NET Task ID 15983 | 0.5 |
Identify, track, or maintain metrics for trading system operations.O*NET Task ID 15984 | 0.5 |
Research new financial products or analytics to determine their usefulness.O*NET Task ID 15986 | 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