कला मूल्यांकनकर्ता
कला, डिज़ाइन, मनोरंजन और मीडियासंयुक्त राज्य अमेरिका · BLS रोजगार अनुमान 2025–35: यह SOC कोड प्रकाशित मदों में शामिल नहीं है।
AI एक्सपोजर
- डेटा स्रोत: Anthropicप्रकाशन: 2026-03
0.220
0.000यहाँ दिए गए मानों की सीमा0.745मापक्रम, आधार और स्रोत
- डेटा स्रोत: ILOप्रकाशन: 2025
0.45
0.09यहाँ दिए गए मानों की सीमा0.70व्यवसाय-समूह स्तर का मान
मापक्रम, आधार और स्रोत
जेनरेटिव AI एक्सपोजर सूचकांक, प्रकाशित रूप में 0–1
ISCO-08 यूनिट समूह — समान कोड वाले सभी व्यवसायों को यही मान मिलता है
यह इस साइट की गणना है, ILO द्वारा प्रकाशित आँकड़ा नहीं: इस साइट द्वारा ILO डेटासेट से जोड़े गए 1,012 व्यवसायों में से 25% इस मान के बराबर या उससे अधिक हैं।
- डेटा स्रोत: OpenAIप्रकाशन: 2023
0.662
0.000यहाँ दिए गए मानों की सीमा0.844मापक्रम, आधार और स्रोत
Task-level exposure
46 छिपे कार्य दिखाएँ| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models.13-2099 | 0.088521.2 | 0.049617.6 |
Structure or negotiate deals, such as corporate mergers, sales, or acquisitions.13-2099 | 0.050612.1 | 0.00832.9 |
Coordinate due diligence processes and the negotiation or execution of purchase or sale agreements.13-2099 | 0.043310.4 | 0.02318.2 |
Prepare all materials for transactions or execution of deals.13-2099 | 0.02586.2 | 0.01184.2 |
Employ financial models to develop solutions to financial problems or to assess the financial or capital impact of transactions.13-2099 | 0.01664.0 | 0.00752.7 |
Create client presentations of plan details.13-2099 | 0.01664.0 | 0.00220.8 |
Develop or implement risk-assessment models or methodologies.13-2099 | 0.01633.9 | 0.01394.9 |
Interpret results of financial analysis procedures.13-2099 | 0.01633.9 | 0.01264.5 |
Produce written summary reports of financial research results.13-2099 | 0.01253.0 | 0.01786.3 |
Provide application or analytical support to researchers or traders on issues such as valuations or data.13-2099 | 0.01162.8 | 0.00903.2 |
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