应收账款专员
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
0.310
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
0.49
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 21%。
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
显示隐藏的 19 项工作| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Perform financial calculations, such as amounts due, interest charges, balances, discounts, equity, and principal.43-3031 | 0.260081.3 | 0.060016.2 |
Check figures, postings, and documents for correct entry, mathematical accuracy, and proper codes.43-3031 | 0.01003.1 | 0.03008.1 |
Compile statistical, financial, accounting, or auditing reports and tables pertaining to such matters as cash receipts, expenditures, accounts payable and receivable, and profits and losses.43-3031 | 0.01003.1 | 0.01002.7 |
Debit, credit, and total accounts on computer spreadsheets and databases, using specialized accounting software.43-3031 | 0.01003.1 | 0.00000.0 |
Classify, record, and summarize numerical and financial data to compile and keep financial records, using journals and ledgers or computers.43-3031 | 0.01003.1 | 0.00000.0 |
Transfer details from separate journals to general ledgers or data processing sheets.43-3031 | 0.01003.1 | 0.00000.0 |
Calculate costs of materials, overhead, and other expenses, based on estimates, quotations and price lists.43-3031 | 0.01003.1 | 0.00000.0 |
Code documents according to company procedures.43-3031 | 0.00000.0 | 0.220059.5 |
Access computerized financial information to answer general questions as well as those related to specific accounts.43-3031 | 0.00000.0 | 0.050013.5 |
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 |
|---|---|
Check figures, postings, and documents for correct entry, mathematical accuracy, and proper codes.O*NET Task ID 2486 | 1.0 |
Operate computers programmed with accounting software to record, store, and analyze information.O*NET Task ID 2487 | 1.0 |
Debit, credit, and total accounts on computer spreadsheets and databases, using specialized accounting software.O*NET Task ID 2489 | 1.0 |
Classify, record, and summarize numerical and financial data to compile and keep financial records, using journals and ledgers or computers.O*NET Task ID 2490 | 1.0 |
Code documents according to company procedures.O*NET Task ID 2493 | 1.0 |
Operate 10-key calculators, typewriters, and copy machines to perform calculations and produce documents.O*NET Task ID 2495 | 1.0 |
Perform financial calculations, such as amounts due, interest charges, balances, discounts, equity, and principal.O*NET Task ID 2497 | 1.0 |
Perform general office duties, such as filing, answering telephones, and handling routine correspondence.O*NET Task ID 2498 | 1.0 |
Calculate and prepare checks for utilities, taxes, and other payments.O*NET Task ID 2501 | 1.0 |
Compare computer printouts to manually maintained journals to determine if they match.O*NET Task ID 2502 | 1.0 |
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
职业信息
与本职业相关的近期变化
2025年5月: Brookings retraining analysis: workers displaced by AI from clerical roles face challenging transitions. TAA participants remained underemployed even 4 years after job loss.
[来源: Brookings Institution]2024年10月: Brookings (Oct 2024) names bookkeepers among the office and administrative support jobs, a sector with high generative AI exposure and high automation potential, that have long given women without a college degree decent-paying, stable work.
[来源: Brookings 2024 — Generative AI, the American worker]These summaries were written by AI Changing Work from the source linked with each one, and any figures in them are given as AI Changing Work summarised them; they can differ from the source's own wording and from figures shown elsewhere on this page, so check the source before relying on them. AI Changing Work matched this page's occupation to an O*NET occupation and chose, by its own judgment, case by case, which summaries relate to that O*NET occupation; a summary appearing here does not mean that its source names this occupation.