税务顾问
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
0.128
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 % |
|---|---|---|
Furnish taxpayers with sufficient information and advice to ensure correct tax form completion.13-2082 | 0.040057.1 | 0.010014.3 |
Explain federal and state tax laws to individuals and companies.13-2082 | 0.020028.6 | 0.00000.0 |
Check data input or verify totals on forms prepared by others to detect errors in arithmetic, data entry, or procedures.13-2082 | 0.010014.3 | 0.040057.1 |
Schedule appointments with clients.13-2082 | 0.00000.0 | 0.020028.6 |
Answer questions and provide future tax planning to clients.13-2082 | 0.00000.0 | —0 |
| Not observed on any surface — 7 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. | ||
Compute taxes owed or overpaid, using adding machines or personal computers, and complete entries on forms, following tax form instructions and tax tables. | —0 | —0 |
Prepare or assist in preparing simple to complex tax returns for individuals or small businesses. | —0 | —0 |
Use all appropriate adjustments, deductions, and credits to keep clients' taxes to a minimum. | —0 | —0 |
Interview clients to obtain additional information on taxable income and deductible expenses and allowances. | —0 | —0 |
Review financial records, such as income statements and documentation of expenditures to determine forms needed to prepare tax returns. | —0 | —0 |
Consult tax law handbooks or bulletins to determine procedures for preparation of atypical returns. | —0 | —0 |
Calculate form preparation fees according to return complexity and processing time required. | —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 |
|---|---|
Compute taxes owed or overpaid, using adding machines or personal computers, and complete entries on forms, following tax form instructions and tax tables.O*NET Task ID 7358 | 1.0 |
Calculate form preparation fees according to return complexity and processing time required.O*NET Task ID 7365 | 1.0 |
Check data input or verify totals on forms prepared by others to detect errors in arithmetic, data entry, or procedures.O*NET Task ID 7366 | 1.0 |
Prepare or assist in preparing simple to complex tax returns for individuals or small businesses.O*NET Task ID 7359 | 0.5 |
Use all appropriate adjustments, deductions, and credits to keep clients' taxes to a minimum.O*NET Task ID 7360 | 0.5 |
Interview clients to obtain additional information on taxable income and deductible expenses and allowances.O*NET Task ID 7361 | 0.5 |
Review financial records, such as income statements and documentation of expenditures to determine forms needed to prepare tax returns.O*NET Task ID 7362 | 0.5 |
Furnish taxpayers with sufficient information and advice to ensure correct tax form completion.O*NET Task ID 7363 | 0.5 |
Consult tax law handbooks or bulletins to determine procedures for preparation of atypical returns.O*NET Task ID 7364 | 0.5 |
Answer questions and provide future tax planning to clients.O*NET Task ID 20363 | 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