AI Adoption in Real Estate 2026: Benchmark of 727 Professionals

How 727 people in real estate use AI at work: how far along they are, what holds them back, the tools they use and what leaders do differently.

The AI Report benchmark · 727 people · Updated November 2, 2026

AI in real estate: 14% are leaders: AI rolled out to their team or company (All respondents: 14%).

We asked 727 people who work in real estate how they use AI at work. They answered The AI Report’s Where You Stand benchmark between July 20, 2026 and November 2, 2026. Here is how far along they are, what holds them back, what they want from AI next and which tools the most advanced teams use, compared with all 14,452 people in the benchmark.

65%
are still early: just exploring or testing a few tools
All respondents: 63%
14%
are leaders: AI is rolled out to their team or used across their company
All respondents: 14%
37%
say their biggest blocker is picking the right tools
All respondents: 32%
37%
want AI to help them save time in the next 90 days
All respondents: 40%

Key findings

  • People in real estate are close to the benchmark average. 14% are leaders, against 14% of all respondents, and 65% are still early.
  • The biggest blocker is picking the right tools (37%), followed by the skills gap (27%).
  • Their top goal is to save time (37%). More of them than average want to grow revenue: 21% against 14%.
  • ChatGPT is the most used AI tool (82% of those who named a tool), then Claude (64%) and Gemini (43%).

How far along people in real estate are with AI

The largest share of people in real estate say they are “just exploring” (42%). 7% say AI is used across their company and 7% are rolling it out to their team.

Real estate
All respondents
  • Just exploring
  • Testing a few tools
  • Using 1 to 3 tools for real
  • Rolling out to their team
  • Used across the company
  • Helping others with AI

What holds people in real estate back

We asked for the single biggest blocker. Picking the right tools leads at 37%. If that is you too: shortlist tools by the job you need done.

Picking the right tools
37%all 32%
Skills gap
27%all 30%
No time
13%all 15%
Results they can't trust
6%all 6%
Budget
5%all 6%
AI moves too fast to keep up
4%all 5%
Security or legal concerns
3%all 3%
Getting the team on board
2%all 2%
Tools didn't stick
2%all 2%
  • Real estate
  • All respondents

What they want from AI in the next 90 days

37% want to save time, 26% want to build their AI skills and 21% want to grow revenue.

Save time
37%all 40%
Build AI skills
26%all 28%
Grow revenue
21%all 14%
Build an AI product
11%all 9%
Make better decisions
4%all 5%
Cut costs
1%all 2%
Ship faster
under 1%all 2%
  • Real estate
  • All respondents

The AI tools people in real estate use

People named 3.0 AI tools each on average. These are the 12 most used, as a share of the 658 people here who named at least one. Compare any of them in our AI tool database.

ChatGPT
82%all 79%
Claude
64%all 69%
43%all 47%
Canva
23%all 24%
17%all 16%
12%all 16%
Microsoft Copilot
7%all 12%
Grok
4%all 4%
4%all 5%
Power BI
4%all 7%
4%all 4%
Otter
3%all 4%
  • Real estate
  • All respondents

What the leaders use differently

Leaders are the 105 people in real estate whose AI is rolled out to their team or used across their company. They named 3.0 tools each, against 2.8 for the 476 who are still early. These are the clearest differences.

ToolLeadersEarlyGap
ChatGPT68%85%-16 pts
  • Share of each group who use the tool. Leaders: 95 people, early: 425 people.

Where they use AI at work

Writing comes first (62%), then personal productivity (53%) and research (50%). People could pick several areas.

62%all 69%
50%all 54%
46%all 34%
31%all 22%
31%all 21%
26%all 32%
Operations
21%all 24%
Product
14%all 19%
13%all 21%
  • Real estate
  • All respondents
  • Asked July 20 to August 31, 2026: 381 answers.

Budget for a first AI project

38% are not sure yet. The most common amount named is under $500 (42%).

Under $500
42%all 37%
$500 to $5K
13%all 12%
$5K to $25K
3%all 6%
$25K to $100K
1%all 3%
$100K+
3%all 2%
Not sure yet
38%all 40%
  • Real estate
  • All respondents
  • Asked from September 1, 2026: 346 answers.

Who answered

55% decide, recommend or have a say in what their company buys.

Company size

Just me
39%all 35%
2 to 10
26%all 16%
11 to 50
9%all 10%
51 to 200
9%all 11%
201 to 1,000
5%all 9%
1,001 to 5,000
6%all 7%
5,000+
6%all 13%
  • Real estate
  • All respondents

Role

Executives and founders
25%all 23%
Directors
14%all 17%
Managers and team leads
19%all 21%
Individual contributors
21%all 22%
Consultants and advisors
19%all 13%
Students and career switchers
2%all 4%
  • Real estate
  • All respondents

Say in what their company buys

Decide what to buy
32%all 27%
Buy just for themselves
24%all 20%
Not involved
21%all 27%
Recommend what to buy
12%all 14%
Have some say
11%all 12%
  • Real estate
  • All respondents

What leaders told The AI Report podcast

“About a third of content is not machine readable right now.”

Vivek Pandya, Director and Lead Insights Analyst, Adobe Digital Insights at Adobe. Check whether AI can actually read your website. Adobe's analysis of retail pages finds about a third of content is not machine-readable. Restructure and organize your content, including your home page, store locator, returns and FAQ pages, so it is clear to machines. Then make sure reviews, Reddit threads and social posts back up what your site claims, because AI agents cross-check before recommending you. Watch or read the episode.

Jake George and Joe Jepsen, AI agent builders at Agentic Brain. If inbound leads go cold because nobody follows up, a speed-to-lead agent can reply to every form within a minute, qualify the person, chase non-responders on a schedule that respects business hours, and book a call so a human closes. Set clear limits on what it may handle. When a conversation goes outside them, the agent should hand it to a person and stop replying. Watch or read the episode.

Next steps

The AI Report benchmark

How do you compare?

Answer the same nine quick questions as these 14,452 people. See which of five AI types you are, how you compare with readers like you, and get a free 30-day AI roadmap by email.

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Compare with other groups

The full benchmark: AI at Work Benchmark 2026, with every industry, role and company size side by side.

By industry: Professional services, Healthcare, Software and tech, Education, Marketing and media, Manufacturing, Nonprofits and government, Financial services, Retail and e-commerce, Legal.

By role: Executives and founders, Directors, Managers and team leads, Individual contributors, Consultants and advisors, Students and career switchers.

By company size: Solo professionals, Small businesses (2 to 50), Mid-size companies (51 to 1,000), Large enterprises (1,001+).

About this data

These numbers come from The AI Report’s Where You Stand benchmark. Between July 20, 2026 and November 2, 2026, 14,452 people completed it. This page covers the 727 who said they work in real estate.

  • Answers are self-reported. People chose their own industry, role, company size and stage.
  • “Early” means just exploring or testing a few tools. “Leaders” means AI is rolled out to their team or used across their company.
  • People could pick more than one tool, so tool shares add up to more than 100%. Tool shares are out of the 658 people here who named at least one tool.
  • Where people use AI was asked from July 20 to August 31, 2026 (381 answers here).
  • Budget was asked from September 1, 2026 (346 answers here).
  • Percentages are rounded to whole numbers.
  • We never publish individual answers. A group only gets a page with 100 or more people, and we only compare groups of 30 or more.
  • People who take an AI newsletter's quiz are more interested in AI than the average worker, so read these numbers as a benchmark of people actively working on AI, not a national average.

Last updated November 2, 2026. To cite this page: The AI Report, AI at Work Benchmark 2026, theaireport.ai/tools/benchmark.