# Real Estate Brokers

> Operate real estate office, or work for commercial real estate firm, overseeing real estate transactions. Other duties usually include selling real estate or renting properties and arranging loans.

- **SOC code:** 41-9021.00
- **Canonical URL:** https://singulariki.com/roles/role-41-9021-00
- **Also known as:** Broker, Managing Broker, Real Estate Broker, Realtor, Broker Associate, Designated Broker, Real Estate Associate, Real Estate Sales Associate
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Sell, for a fee, real estate owned by others.
- Obtain agreements from property owners to place properties for sale with real estate firms.
- Act as an intermediary in negotiations between buyers and sellers over property prices and settlement details and during the closing of sales.
- Supervise agents who handle real estate transactions.
- Generate lists of properties for sale, their locations, descriptions, and available financing options, using computers.
- Manage or operate real estate offices, handling associated business details.
- Compare a property with similar properties that have recently sold to determine its competitive market price.
- Maintain knowledge of real estate law, local economies, fair housing laws, types of available mortgages, financing options, and government programs.
- Monitor fulfillment of purchase contract terms to ensure that they are handled in a timely manner.
- Check work completed by loan officers, attorneys, or other professionals to ensure that it is performed properly.
- Rent properties or manage rental properties.
- Maintain awareness of current income tax regulations, local zoning, building and tax laws, and growth possibilities of a property's area.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Sales and Marketing _(knowledge)_
- Customer and Personal Service _(knowledge)_
- English Language _(knowledge)_
- Speaking _(essential_skill)_
- Law and Government _(knowledge)_
- Oral Comprehension _(ability)_
- Written Comprehension _(ability)_
- Oral Expression _(ability)_
- Administration and Management _(knowledge)_
- Reading Comprehension _(essential_skill)_
- Active Listening _(essential_skill)_
- Critical Thinking _(essential_skill)_

**Skills in demand:**
- English Language _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Active Listening _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Negotiation _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Active Learning _(Common Skill)_
- Microsoft Outlook _(Common Skill)_
- Writing _(Common Skill)_
- Social Perceptiveness _(Common Skill)_
- Mathematics _(Common Skill)_

**Tools & technology:**
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Outlook _(hot technology, in demand)_
- Adobe Photoshop _(hot technology)_
- Facebook _(hot technology)_
- Intuit QuickBooks _(hot technology)_
- Microsoft Access _(hot technology)_
- Microsoft Active Server Pages ASP _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Word _(hot technology)_
- Salesforce software _(hot technology)_
- Yardi software _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 91st percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 81st percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 95th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 80th percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 94th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 3.3% growth (About average); 9.7k annual openings; 111.3k → 115k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $72,280; 49,590 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 41% automation, 45% augmentation (usage-weighted).
- **Autonomy median:** 3.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** directive.

**Tasks most handed to AI here:**
- Appraise property values, assessing income potential when relevant. _(1.7% of measured AI use; directive)_
- Act as an intermediary in negotiations between buyers and sellers over property prices and settlement details and during the closing of sales. _(0.7% of measured AI use; task iteration)_
- Rent properties or manage rental properties. _(0.6% of measured AI use; task iteration)_
- Generate lists of properties for sale, their locations, descriptions, and available financing options, using computers. _(0.5% of measured AI use; directive)_
- Compare a property with similar properties that have recently sold to determine its competitive market price. _(0.5% of measured AI use; directive)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me appraise property values, assessing income potential when relevant.
- Help me act as an intermediary in negotiations between buyers and sellers over property prices and settlement details and during the closing of sales.
- Help me rent properties or manage rental properties.
- Help me generate lists of properties for sale, their locations, descriptions, and available financing options, using computers.
- Help me compare a property with similar properties that have recently sold to determine its competitive market price.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-41-9021-00_
