预算分析师
商业与金融AI暴露度
- 数据来源: BLS发布时间: 2026-08
很高· 相对
低四级相对区间很高职业群单位数值
尺度 · 母数 · 来源
四级相对类别（低 / 中等 / 高 / 很高）
以BLS就业预测表中831个细分职业为基数。取值按 NEM（全国就业矩阵）代码给定，因此共用同一 NEM 代码的职业得到相同分档
- 数据来源: Anthropic发布时间: 2026-03
0.067
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
0.51
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 17%。
该来源发布的是什么性质的数值
BLS的类别是相对排位而非绝对水平，也不是一手测量：它把多项已发表研究给出的职业百分位排名归并为四个等级。它不是就业或工资预测，不是采用概率，也不区分自动化与增强。
Task-level exposure
仅显示有暴露的工作| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Provide advice and technical assistance with cost analysis, fiscal allocation, and budget preparation.13-2031 | 0.011370.3 | —0 |
Perform cost-benefit analyses to compare operating programs, review financial requests, or explore alternative financing methods.13-2031 | 0.004829.7 | —0 |
Compile and analyze accounting records and other data to determine the financial resources required to implement a program. | —0 | 0.0020100.0 |
| Not observed on any surface — 10 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. | ||
Analyze monthly department budgeting and accounting reports to maintain expenditure controls. | —0 | —0 |
Direct the preparation of regular and special budget reports. | —0 | —0 |
Consult with managers to ensure that budget adjustments are made in accordance with program changes. | —0 | —0 |
Summarize budgets and submit recommendations for the approval or disapproval of funds requests. | —0 | —0 |
Seek new ways to improve efficiency and increase profits. | —0 | —0 |
Review operating budgets to analyze trends affecting budget needs. | —0 | —0 |
Examine budget estimates for completeness, accuracy, and conformance with procedures and regulations. | —0 | —0 |
Interpret budget directives and establish policies for carrying out directives. | —0 | —0 |
Match appropriations for specific programs with appropriations for broader programs, including items for emergency funds. | —0 | —0 |
Testify before examining and fund-granting authorities, clarifying and promoting the proposed budgets. | —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 |
|---|---|
Interpret budget directives and establish policies for carrying out directives.O*NET Task ID 3404 | 1.0 |
Analyze monthly department budgeting and accounting reports to maintain expenditure controls.O*NET Task ID 3394 | 0.5 |
Direct the preparation of regular and special budget reports.O*NET Task ID 3395 | 0.5 |
Consult with managers to ensure that budget adjustments are made in accordance with program changes.O*NET Task ID 3396 | 0.5 |
Match appropriations for specific programs with appropriations for broader programs, including items for emergency funds.O*NET Task ID 3397 | 0.5 |
Provide advice and technical assistance with cost analysis, fiscal allocation, and budget preparation.O*NET Task ID 3398 | 0.5 |
Summarize budgets and submit recommendations for the approval or disapproval of funds requests.O*NET Task ID 3399 | 0.5 |
Seek new ways to improve efficiency and increase profits.O*NET Task ID 3400 | 0.5 |
Review operating budgets to analyze trends affecting budget needs.O*NET Task ID 3401 | 0.5 |
Examine budget estimates for completeness, accuracy, and conformance with procedures and regulations.O*NET Task ID 3402 | 0.5 |
Testify before examining and fund-granting authorities, clarifying and promoting the proposed budgets.O*NET Task ID 3406 | 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