Real Estate Sales Agents
Sales and Related Occupations- O*NET-SOC 代码
- 41-9022.00
Rent, buy, or sell property for clients. Perform duties such as study property listings, interview prospective clients, accompany clients to property site, discuss conditions of sale, and draw up real estate contracts. Includes agents who represent buyer.
职业名称和任务陈述按其发布时的英文原文显示。标签（包括任务类型）为译文。
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
0.283
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
0.35
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
按 ISCO-08 细类（4 位）发布的数值。按原样应用美国劳工统计局（BLS）的官方对照表（ISCO-08→2010 SOC、2010 SOC→2018 SOC）关联到本职业，对应关系为全部或部分对应
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。
AI 暴露度（OpenAI 评分标准）
已评分任务 33 项 · β ≥ 0.5 的任务 29 项（87.9%）
β = 直接暴露（E1）+ 0.5 × 借助工具时的暴露（E2），依据原始代码库的定义。
- 原始单位：O*NET 27.2 任务 → O*NET 31.0 职业代码
- 所有已评分任务均在 O*NET 31.0 任务列表中。
- 来源
- OpenAI "GPTs are GPTs" exposure rubric
- 版本
- gh-main-0471612
- 许可
- MIT License, Copyright (c) 2024 OpenAI
任务
来自 O*NET® 31.0 Database 的任务陈述，核心任务在前。
| 任务 | 类型 | β（OpenAI） |
|---|---|---|
| Present purchase offers to sellers for consideration. | 核心 | 0.5 |
| Confer with escrow companies, lenders, home inspectors, and pest control operators to ensure that terms and conditions of purchase agreements are met before closing dates. | 核心 | 0.5 |
| Interview clients to determine what kinds of properties they are seeking. | 核心 | 0.5 |
| Prepare documents such as representation contracts, purchase agreements, closing statements, deeds, and leases. | 核心 | 0.5 |
| Coordinate property closings, overseeing signing of documents and disbursement of funds. | 核心 | 0.5 |
| Act as an intermediary in negotiations between buyers and sellers, generally representing one or the other. | 核心 | 0.5 |
| Promote sales of properties through advertisements, open houses, and participation in multiple listing services. | 核心 | 0.5 |
| Compare a property with similar properties that have recently sold to determine its competitive market price. | 核心 | 0.5 |
| Coordinate appointments to show homes to prospective buyers. | 核心 | 0.5 |
| Generate lists of properties that are compatible with buyers' needs and financial resources. | 核心 | 0.5 |
| Display commercial, industrial, agricultural, and residential properties to clients and explain their features. | 核心 | 0 |
| Arrange for title searches to determine whether clients have clear property titles. | 核心 | 0.5 |
| Review plans for new construction with clients, enumerating and recommending available options and features. | 核心 | 0.5 |
| Answer clients' questions regarding construction work, financing, maintenance, repairs, and appraisals. | 核心 | 0.5 |
| Inspect condition of premises, and arrange for necessary maintenance or notify owners of maintenance needs. | 核心 | 0 |
| Accompany buyers during visits to and inspections of property, advising them on the suitability and value of the homes they are visiting. | 核心 | 0 |
| Advise sellers on how to make homes more appealing to potential buyers. | 核心 | 0.5 |
| Advise clients on market conditions, prices, mortgages, legal requirements, and related matters. | 核心 | 0.5 |
| Evaluate mortgage options to help clients obtain financing at the best prevailing rates and terms. | 核心 | 0.5 |
| Review property listings, trade journals, and relevant literature, and attend conventions, seminars, and staff and association meetings, to remain knowledgeable about real estate markets. | 核心 | 0.5 |
| Contact property owners and advertise services to solicit property sales listings. | 核心 | 0.5 |
| Develop networks of attorneys, mortgage lenders, and contractors to whom clients may be referred. | 核心 | 0.5 |
| Contact previous clients for prospecting of referral business. | 核心 | 0.5 |
| Arrange meetings between buyers and sellers when details of transactions need to be negotiated. | 补充 | 0.5 |
| Investigate clients' financial and credit status to determine eligibility for financing. | 补充 | 0.5 |
| Visit properties to assess them before showing them to clients. | 补充 | 0.5 |
| Contact utility companies for service hookups to clients' property. | 补充 | 0.5 |
| Conduct seminars and training sessions for sales agents to improve sales techniques. | 补充 | 0 |
| Appraise properties to determine loan values. | 补充 | 0.5 |
| Solicit and compile listings of available rental properties. | 补充 | 0.5 |
| Secure construction or purchase financing with own firm or mortgage company. | 补充 | 0.5 |
| Rent or lease properties on behalf of clients. | 补充 | 0.5 |
| Locate and appraise undeveloped areas for building sites, based on evaluations of area market conditions. | 补充 | 0.5 |
职业信息
来源与署名
This page includes information from the O*NET® 31.0 Database (https://www.onetcenter.org/database.html) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O*NET® is a trademark of USDOL/ETA. AI Changing Work has modified all or some of this information: the O*NET-SOC code, title and task statements are reproduced in English without change; task-type labels are shown in the page's language and tasks are listed core first; any Korean occupation title shown on the Korean-language page is AI Changing Work's translation; any KSCO-8 unit groups linked to this occupation were paired with it by AI Changing Work's judgment, and the relation labels and statuses are AI Changing Work's additions. USDOL/ETA has not approved, endorsed, or tested these modifications.
Any AI exposure figures on this page are published by third parties, not by AI Changing Work, and none is part of the O*NET information. OpenAI publishes task-level scores (MIT License) for O*NET 27.2 task statements; each is shown next to the O*NET 31.0 task statement with the same task ID, whose wording can differ from the 27.2 statement that was scored. OpenAI also publishes occupation-level scores for O*NET-SOC codes in the same release, and any such score is shown on the O*NET occupation with the same code. Anthropic publishes an observed exposure index in the Anthropic Economic Index (CC-BY), and the U.S. Bureau of Labor Statistics publishes relative AI exposure categories (public domain); both are published per SOC code, and each value is shown on every O*NET occupation with that code. The International Labour Organization publishes a generative AI exposure index in ILO Working Paper 140 (CC BY 4.0) for ISCO-08 unit groups; AI Changing Work links those groups to O*NET occupations by applying the U.S. Bureau of Labor Statistics ISCO-08 to 2010 SOC and 2010 SOC to 2018 SOC crosswalks as published, without case-by-case selection, and these crosswalks match many groups only in part. Where several unit groups are linked, each group's published value is listed, and any summary shows only the lowest and highest of those values with the number of groups; no exposure figure is averaged or recalculated. Any employment figures are published by the U.S. Bureau of Labor Statistics for the SOC group containing this occupation. Each source is credited where its figures are shown.
O*NET OnLine: 41-9022.00 Real Estate Sales Agents
KSCO 코드·명칭: 한국표준직업분류(제8차 개정) — 통계청 고시 제2024-328호 (2024-07-01 고시, 2025-01-01 시행). 저작권법 제7조 제2호의 고시 항목이다. 명칭 표기(가운뎃점·띄어쓰기)는 해설서 2차 정오 반영판의 표기를 따랐으며, 고시 항목표와는 18개 명칭에서 가운뎃점 글리프나 띄어쓰기만 다르다. 통계청은 2025년 10월 국가데이터처로 개편되었다. 이 페이지의 KSCO 연결은 통계청·국가데이터처의 공식 연계표가 아니다.