Welcome to CRE TechPulse! A newsletter about AI and CRE, but really, it’s about how we work, adapt, and stay human. Here's the latest news from the week ending June 6th, 2025:
The Death of the Cold Call
I spent ten years in brokerage. When I started I had no clue what I was doing, as is surely the case with most rookie brokers. You start from scratch just calling and calling, trying to locate someone...anyone who might listen to you or have some type of requirement. I started mapping out entire submarkets and went street by street calling both the landlords and the tenants in the hopes I could land something to impress the older brokers and earn my keep. Thousands of calls a month. It seemed at times like trying to find a needle in a haystack. For most seasoned brokers, cold calling gives a sense of nostalgic pride, war stories of hustle and rejection. Soon those stories will become old yarns told at the water cooler, like using a fax machine, or calculating investments using an old HP calculator. "Wow Old Timer, you really made all those calls randomly dialing on those old fashioned phones?"
The Old Playbook vs. The New Reality
Client outreach and cold calling is about to look completely different. The old method was equivalent to carpet-bombing cities to the ground 80 years ago. The coming reality will be more like precision missile-guided AI warfare. Strategic, pinpoint strikes that are lethal when put into the right hands.
Yesterday's CRE broker: "I've got 47 cold calls to make today, hoping someone bites on this vacant retail space."
Tomorrow's CRE broker: "My AI agent just analyzed 10,000 data points and identified three growing companies whose lease expires next quarter, their current space is 30% too small based on employee growth patterns, and they've been engaging with multiple CRE listings in our target area."
One approach treats prospects like lottery tickets. The other treats them like data-driven opportunities you can actually validate.
Work Smarter, and Harder
I've always hated the saying, "Work smarter, not harder." It's a false dilemma. Why not both? My proposal is this: work smarter by utilizing AI technologies that are currently available, and work harder by keeping up to date with technology, your market, and self-improvement. There's never been a better time to do both, and crush the competition while you're at it. Agentic AI systems can autonomously research, analyze, and enrich prospect data without human oversight. Think of it as having a research analyst that works 24/7 and never gets tired. Or a late night junior broker cutting their teeth.
Data Enrichment in Action:
- Company Intelligence: AI agents scrape job postings, press releases, and financial filings to build comprehensive company profiles
- Space Utilization Analysis: By analyzing employee count changes, office footprint data, and growth trajectories, AI can predict space needs before companies realize it themselves
- Market Timing Signals: Agents monitor lease expiration databases, permit applications, and expansion announcements to identify optimal outreach windows
The Research-Relationship Revolution
Going back to my early years, I wanted two (maybe three) things to happen.
- Someone to answer and listen to me
- Someone to give me an opportunity to represent them
- Or give me intel to use on another call
There was no real analysis of their business or holdings, just carpet bombing. But that's all changed, because smart CRE professionals are using AI agents to transform how they approach prospects.
Traditional Research: Spend 2 hours manually researching one company, maybe find their basic info and lease expiration date.
AI-Enriched Research: Deploy an agent that researches 50 companies simultaneously, cross-referencing growth signals (hirings, expansion news), space requirements, financial health, and decision-maker contact information.
Generic cold calling be damned. This is how a junior broker with some AI knowledge could talk to someone now:
"Hey Mrs. CEO, I noticed your company added 15 employees in Q4 based on LinkedIn data. I believe your current lease expires in 8 months, and similar companies in your growth stage typically need 40% more space. Three of your competitors just expanded into Class A space in this submarket. Have you given any thought into expansion?"
And here's the thing, these AI-savvy brokers are already out there, armed with intelligence that makes traditional cold calling look like throwing darts blindfolded.
Blending Technology and Human Interaction
The point I'm trying to make is that both junior brokers and seasoned brokers can be working both smarter and harder using tech that is already here and getting better by the day.
- Zapier just updated their agents to work better with tools and have pre-programmed AI to help with data enrichment, CRM integrations and more.
- This week, OpenAI (ChatGPT) announced that they now have new source connections in their "deep research" model. These models now allow you to connect to Outlook and Gmail, Hubspot, Drive, Dropbox and a ton more.
Imagine having an agent search all of your past interactions and come up with a strategic reason for calling. Or a Zapier agent that enriches incomplete contact information for your prospects. It's cool stuff and exactly where we're heading. Let's break it down like this.
AI Agent Responsibilities:
- Continuous market monitoring and data collection
- Prospect qualification and scoring
- Competitive intelligence gathering
- Property matching based on business requirements
Human Responsibilities:
- Relationship building through trust and strategic insights
- Complex negotiation and creative problem-solving
- Strategic advisory and market interpretation
- Deal structuring and closing
Agentic AI doesn't just collect data. It connects dots humans might miss because we're busy or distracted. By analyzing patterns across thousands of companies, AI can identify predictive signals that individual brokers would never spot manually.
Cold Calling is Dead. Long Live Warm Calling.
Cold calling is dead because warm, informed, perfectly-timed outreach backed by comprehensive data intelligence is exponentially more effective. AI agents give you the intelligence to show up at the right time, with the right information, talking to the right person about what they actually need.
And listen here, Old Timer. Your prospects will thank you for it. Nobody wants to be treated like a random number on a call list when you could be treated like a business owner whose success and growth trajectory you actually understand.
Prompt of the Week
Company Research Powerhouse
Using a Deep Research Reasoning model: You are an experienced commercial real estate market analyst. I need you to help me research and profile a target company for potential office space leasing.
Company: [INSERT COMPANY NAME]
Please provide a comprehensive analysis including:
- Growth Indicators: Recent hiring patterns, funding rounds, expansion announcements
- Current Space Assessment: Estimated current footprint, potential space needs based on employee count
- Decision Timeline: Lease expiration research, expansion triggers, optimal outreach timing
- Pain Points: Likely space challenges they’re facing based on their business model and growth stage
- Competitive Context: How similar companies in their sector typically handle space decisions
- Conversation Starters: Three specific, data-backed talking points I can use in initial outreach
Format your response as a briefing memo I can reference during prospecting calls. Focus on actionable insights, not generic information.
In Other News:
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