Artificial Intelligence (AI)

Artificial Intelligence Tools

How Property Owners, Investors, and Developers Can Leverage Artificial Intelligence (AI) in Commercial Real Estate

Artificial Intelligence (AI) is transforming the commercial real estate industry at a rapid pace. Property owners, investors, and developers can use AI to aggregate data from across the internet to develop intelligence on markets, competitors, and asset performance. Machine learning can identify optimal pricing strategies, forecast returns, and surface risks that would otherwise require weeks of manual analysis.¹ AI also enables owners and developers to make faster, better-informed decisions on acquisitions, dispositions, and capital improvements by processing market signals in real time.²

AI is now used to analyze existing market data to support investment and ownership decisions — from evaluating acquisition targets to timing dispositions and optimizing asset performance. AI can predict future market trends and potential investments by processing millions of data points — demographic shifts, rental trends, interest rate scenarios, and transaction histories — to forecast how similar markets have performed.³ Real estate is a significant cost and capital commitment for owners and developers alike. Process automation from AI offers a tremendous opportunity to reduce operating costs, improve NOI, and make more confident decisions across the asset lifecycle.

According to JLL’s research, AI and Generative AI ranked among the top three technologies expected to have the most significant impact on real estate over the coming years, cited by investors, developers, and corporate tenants alike. Goldman Sachs economists have estimated AI could add approximately 0.4% to annual U.S. GDP growth through productivity gains — a tailwind that the CRE industry is already beginning to feel.

"AI is enabling investors and owners to make faster, more confident decisions — surfacing insights that used to take weeks of manual analysis."

JLL, on AI adoption in commercial real estate (2025)

While 92% of commercial real estate occupiers and 88% of investors have started or plan to start AI pilots, the practical execution gap remains wide. A 2025 industry study found that only about 5% of firms have fully achieved their AI program goals — meaning the opportunity for well-informed professionals to lead remains substantial.

Disclaimer: Content updated May 2026.

Key AI Applications for Property Owners, Investors & Developers

AI is now embedded across the entire commercial real estate ownership and investment lifecycle. Here are the highest-impact areas for property owners, investors, and developers:

Automated Valuation & Underwriting

Automated valuation models (AVMs) now update in real time. Tools like Cotality (formerly CoreLogic) achieve 99%+ accuracy across 99.9% of U.S. properties using over 3 billion historical records. Document intelligence platforms such as Primer extract data from offering memoranda and rent rolls directly into underwriting models.

Predictive Market Analytics

Machine learning models identify optimal pricing by analyzing millions of data points — demographic trends, rental histories, interest rate scenarios, and comparable transactions — to forecast how market shifts could affect investment returns before a decision is made.

Due Diligence & Document Intelligence

AI analyzes lease terms, tenant histories, maintenance logs, and regional demand data in a fraction of the time previously required. Platforms like RedIQ and Dealpath automate multifamily data extraction and investment pipeline management across large portfolios.

Property & Asset Management

AI-connected building systems optimize energy use, predict maintenance needs, and manage tenant communications — directly improving NOI. Owners use AI operating platforms to surface portfolio-wide insights and improve tenant satisfaction in real time.

What AI Cannot Replace

Despite rapid adoption, commercial real estate remains a relationship-driven industry. Local market knowledge, negotiation judgment, and the experience to interpret data in context are where human expertise continues to be irreplaceable — no algorithm can replicate the insight that comes from decades of working a specific market.

AI handles the high-volume, data-intensive, repetitive work best — freeing owners, investors, and developers to focus on strategy, relationships, and execution. Those who combine AI-enhanced analytics with seasoned market judgment are positioned to make faster, more confident decisions than those relying on either alone.

For Seattle-area investors and property owners, the practical takeaway is this: AI is a powerful tool, but it works best alongside an experienced advisor who knows how to apply it to your specific assets, goals, and market conditions.

AI adoption is accelerating the pace of business operations across CRE. Early adopters are increasing productivity in acquisitions, leasing, and asset management — while those who delay risk falling behind on deal flow and market intelligence.

Texas Real Estate Research Center, July 2025

Natural Language Model Engines

ChatGPT. AI language model by OpenAI for conversational interactions, research, drafting, and analysis across a wide range of real estate tasks. (Link)
Claude (Anthropic). A leading AI assistant known for nuanced reasoning, document analysis, and long-form writing. Widely used for lease review, market summaries, and client communications. (Link)
Google Gemini. Google’s flagship AI model, integrated into Google Workspace tools including Docs, Sheets, and Gmail — useful for CRE teams already in the Google ecosystem. (Link)
Microsoft Copilot. AI built into Microsoft 365, enabling natural language commands across Word, Excel, Outlook, and Teams — directly relevant to investment analysis, asset management, and ownership workflows. (Link)
Perplexity AI. A search engine powered by AI that provides cited, real-time answers — useful for rapid market research and competitive intelligence. (Link)

AI Tools in Active Use (2025–2026)

The CRE technology landscape has expanded dramatically. Below are tools that commercial real estate professionals are actively deploying today:

Cotality (formerly CoreLogic). Over 50 years of real estate data, now AI-enhanced. Their Total Home ValueX AVM model covers 99.9% of U.S. properties with institutional-grade accuracy for valuation and risk assessment. (Link)
Primer. Document intelligence platform for CRE acquisition and underwriting teams. Extracts data from any offering memorandum, rent roll, or T12 and maps it directly into existing Excel underwriting models. (Link)
JLL GPT. The first large language model purpose-built for commercial real estate, developed by JLL Technologies. Used by JLL’s 103,000+ workforce globally to deliver faster, CRE-specific insights to clients. (Link)
CRE Agents (A.CRE). A vertical AI operating layer for commercial real estate that automates repetitive tasks across acquisitions, asset management, brokerage, and development workflows. (Link)
Dealpath. Enterprise deal pipeline management platform that tracks deal status, team workflow, and transaction documentation across large CRE firms and investment teams. (Link)
Agora. AI-powered investor relations platform for CRE firms. Automates investor onboarding, distribution management, K-1 reporting, and fundraising communications in a single system. (Link)
Realmo. Commercial real estate intelligence platform with a natural-language AI search assistant. Users describe requirements conversationally; the platform recommends and analyzes matching properties. (Link)

Tools for Excel and Google Sheets

Microsoft Copilot in Excel. Unlock insights, identify trends, and create professional-looking data visualizations using natural language prompts — directly inside Excel. (Link)
Google Gemini in Sheets. Generate formulas, summarize data, and automate repetitive spreadsheet tasks using conversational AI built into Google Sheets. (Link)
SheetGod. Create intricate Excel formulas, macros, and automate manual tasks using plain English and AI-generated code snippets. (Link)
SheetAI. Leverage AI to simplify and expedite data analysis, generate personalized content, and surface insights from spreadsheet data faster than ever. (Link)
Lumelixr. Convert plain English questions into Excel and Google Sheets formulas, just as you would consult a knowledgeable colleague about formulas. (Link)