---
title: "Will AI Replace Real Estate Agents? (2026)"
description: "BLS rates real estate agents' exposure to AI as very high. What that means, which parts of the work AI touches, and the 2025–2035 outlook (+1.7%…"
canonical: "https://nuecareer.com/careers/will-ai-replace-real-estate-agents"
last-updated: "2026-10-15T08:19:32.066Z"
---

# Will AI Replace Real Estate Agents? (2026)

**Short answer:** AI will reshape this job more than most, but BLS does not forecast it disappearing. The exposure is among the highest BLS measured, yet it still projects employment to grow.

The Bureau of Labor Statistics places real estate agents in its very high AI exposure category, among the occupations most exposed to current AI. BLS projects employment to change by +1.7% over 2025–2035, against 3.5% for all occupations, with about 32,600 openings a year.

| Measure | Value | Source |
| --- | --- | --- |
| BLS relative AI exposure | Very high | BLS Employment Projections, AI exposure categories |
| NueCareer AI-resilience score | 41/100 | NueCareer analysis of O\*NET 31.0 Database |
| Projected employment change | +1.7% | BLS EP 2025–2035 |
| Openings a year | 32,600 | BLS EP 2025–2035 |
| Median annual wage | $52,830 | BLS OEWS May 2025 |

## Exposure categories

| BLS category | Occupations |
| --- | --- |
| Low | 203 |
| Moderate | 194 |
| High | 190 |
| Very high (this job) | 199 |

Exposure means AI could be or has been used to assist with or complete some of the work. BLS says it does not imply job loss, productivity gains, automation probability or wage effects. Method: https://www.bls.gov/emp/publications/ai-exposure-categories.htm

## What holds up

- Resolving conflicts and negotiating with others: 4.3/5 (O\*NET work activity importance)
- Performing for or working directly with the public: 4.3/5 (O\*NET work activity importance)
- Face-to-face discussions: 4.1/5 (O\*NET work context)
- Establishing and maintaining interpersonal relationships: 3.9/5 (O\*NET work activity importance)

## What AI reaches first

- Documenting/recording information: 4.1/5 (O\*NET work activity importance)
- Working with computers: 4.2/5 (O\*NET work activity importance)
- Getting information: 4.5/5 (O\*NET work activity importance)
- Email: 4.8/5 (O\*NET work context)

## O\*NET tasks

- Present purchase offers to sellers for consideration.
- Act as an intermediary in negotiations between buyers and sellers, generally representing one or the other.
- Advise clients on market conditions, prices, mortgages, legal requirements, and related matters.
- Compare a property with similar properties that have recently sold to determine its competitive market price.
- Coordinate appointments to show homes to prospective buyers.
- Generate lists of properties that are compatible with buyers' needs and financial resources.

## Related careers less exposed to AI than real estate agents

- [First-Line Supervisor of Retail Sales Workers](https://nuecareer.com/careers/first-line-supervisor-of-retail-sales-workers): BLS exposure High, median $48,520; [Will AI replace first-line supervisors of retail sales workers?](https://nuecareer.com/careers/will-ai-replace-first-line-supervisors-of-retail-sales-workers)
- [Property, Real Estate, and Community Association Manager](https://nuecareer.com/careers/property-real-estate-and-community-association-manager): BLS exposure High, median $69,990; [Will AI replace property managers?](https://nuecareer.com/careers/will-ai-replace-property-managers)

## FAQ

**Will AI replace real estate agents?**

AI will reshape this job more than most, but BLS does not forecast it disappearing. The exposure is among the highest BLS measured, yet it still projects employment to grow. BLS defines exposure as AI being able to assist with or complete some of the work, and says it does not imply job loss, productivity gains or wage effects. BLS projects employment to change by +1.7% over 2025–2035, against 3.5% for all occupations, with about 32,600 openings a year.

**How exposed are real estate agents to AI?**

BLS sorts 786 occupations into four relative categories: low, moderate, high and very high. Real Estate Agents are in the very high category, alongside 198 other occupations. The categories combine five public measures of where AI could be or already is used, and they compare occupations with each other rather than giving an absolute risk.

**What parts of a real estate agent's job can AI do?**

In O\*NET's description of the work, the parts that overlap most with what AI handles well are documenting/recording information, working with computers and getting information. The parts that hold up best are resolving conflicts and negotiating with others, performing for or working directly with the public and face-to-face discussions. These come from O\*NET ratings of how important each activity is to the job, read through NueCareer's AI-resilience method.

**Is being a real estate agent a safe career from AI?**

On NueCareer's AI-resilience score, built from O\*NET work activities, real estate agents score 41 out of 100, higher than 42% of the occupations we score. The job pays a median of $52,830 a year (BLS OEWS, May 2025). No job is fully safe from technological change, but the federal exposure category and the projected openings are the two numbers worth weighing.

**What careers similar to real estate agents are less exposed to AI?**

First-Line Supervisor of Retail Sales Workers (high exposure, $48,520 median), Property, Real Estate, and Community Association Manager (high exposure, $69,990 median). Each is in a lower BLS exposure category than real estate agents, and most are listed by O\*NET as related to the work.

Full profile: https://nuecareer.com/careers/real-estate-agent.

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This bank includes information from the O\*NET 31.0 Database 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. NueCareer has transformed the data by joining it to BLS wage and projection data and deriving facet, personality-fit and AI-resilience scores. BLS and BEA data are public domain (17 U.S.C. §105).

O\*NET content is used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). How these figures are sourced and derived: https://nuecareer.com/careers/methodology