The 2026 Property Management Trends Report 2026 just came out.

And while everyone is rushing to dissect how AI is rewriting owner behavior and expectations, the conversations around it are focused on the wrong metrics.

In this mini-episode, Pablo Gonzalez, Chief Evangelist at Vendoroo, dives deep into the raw data. He details the obvious trends around speed and expectations but uncovers ONE BIG THING that the data is showing us. Once you see it, it will make total sense to you. And it's shocking that nobody's talking about it!

You'll Learn:

🤖 Why tracking surface metrics forces you to chase market symptoms rather than the actual root cause
📉 Moving past speed to understand what a fast response actually signals to a client
🧠 Unpacking a hidden statistic that uncovers the top emotional driver for hiring a PM
🤝 How forward-thinking operators leverage live agentic AI inside their sales pitch to win competitive accounts
🔄 How shifting your maintenance workflows to a deep delegation framework that scales capacity up to 1,500 units
🎯 Why future market winners will focus entirely on delegation to sell certainty

Download the PM Trends Report HERE

🎧 Listen now so you won't miss what the PM Trends Report 2026 is actually telling you.

🌟 Stay Connected with Us:

🎙️ Connect with Pablo Gonzalez on LinkedIn
📬 Subscribe to Vendoroo's Weekly Newsletter
💼 Follow Vendoroo on LinkedIn
🌐 Visit Vendoroo's Website

Chapters:

0:00 — The 2026 PM Trends Report is Out
01:58 — Obvious Takeaways Everyone is Discussing
02:46 — Using AI To Find The Best Property Managers
03:52 — Landlords Value Tenant Experience Over Short-Term Cash Flow
04:47 — The Misleading Focus On Response Times
05:42 — What Owners Really Demand Beyond A Faster Work Order
06:17 — The Number One Reason Owners Hire a Property Manager
07:07 — Owners Want Fewer Problems Reaching Their Desk
07:45 — How Smart Operators Use AI As Their Differentiator To Win New Accounts
09:51 — What Landlords Actually Feel When They See AI Working
11:50 — Why Property Managers Must Trust Their Own Technology First
12:41 — The Difference Between Halfway Automation and Real Delegation
14:23 — Real Stats from the Dream Big Property Management Case Study
16:22 — Redefining the Operational North Star for Future Winners

If you are still staffing your maintenance department based on the old 200-door per coordinator benchmark, you are missing a massive opportunity to scale your business and reclaim your team's time from a 24-hour firefighting loop.

Pablo Gonzalez, Chief Evangelist at Vendoroo, and Nicholas Jacobsen, Executive Director, break down the new maintenance math and explain how shifting to agentic AI takes the repetitive work completely off your staff's plate, allowing PMCs to scale up to thousand doors.

You'll Learn:

🤖 Separating basic software functions from true autonomous workflows
📈 Scaling your door count without increasing human headcount
🔧 Moving high-volume administrative tasks entirely off your staff's plate
🛡️ Filtering out maintenance requests automatically through resident troubleshooting
🛑 Defusing internal staff fear and protecting team culture
📅 Training your system like a teammate instead of configuring software
🌲 Shifting human focus from task firefighting to relationship management

🎧 Listen now to discover how to update your maintenance math, scale your door count, and reclaim your operational freedom.

🌟 Stay Connected with Us:

🤝 Connect with Nicholas Jacobsen on LinkedIn
🎙️ Connect with Pablo Gonzalez on LinkedIn
📬 Subscribe to Vendoroo's Weekly Newsletter
💼 Follow Vendoroo on LinkedIn
🌐 Visit Vendoroo's Website

Chapters:

02:26 — Agentic AI Vs. Generative AI
05:09 — The Old Math Of Maintenance
08:02 — The New Math Of Maintenance
12:44 — What The New Math Actually Means
15:00 — From Managing The Trees To Managing The Forest
18:39 — Leveraging Real Time Data For Better Resident Experience
24:25 — Mistake #1: Treating Agentic AI As A Software Implementation
29:12 — Mistake #2: Babysitting Agentic AI
31:44 — Mistake #3: Employee Sabotage
34:27 — Vendoroo Had To Own The Outcome First
37:05 — Automate Towards People, Not Away From Them
37:59 — De-Risking AI Implementation
40:31 — Using ROO As Your PMC's Differentiator
41:39 — The Need For Human-In-The-Loop During AI Implementation
43:35 — How ROO Closes A Work Order
47:29 — Where ROO's Knowledge Comes From
51:44 — ROO's Integration Capabilities With Meld
53:12 — How Resident Sentiment Feature Works

500+ agentic AI rollouts into it, and ROO has shown us the same 3 mistakes keep being made:

- Treating an agent as software
- Turning it on to scale chaos
- Unnecessary internal sabotage

In this episode, Pablo Gonzalez, Chief Evangelist at Vendoroo, shows you why these mistakes are being made and how to avoid them.

You'll Learn:

🔧 Why owners churn when maintenance creates stress, not just when returns drop
⚡ How AI speeds up responses, troubleshooting, and vendor dispatch
🎯 How AI adapts workflows by property, owner, and resident
🤖 The difference between AI that helps and AI that handles the job
🚨 Why software thinking, interruptions, and fear can break adoption

🎧 Listen now to learn how the best property management companies build trust in AI, accelerate maintenance operations, and create teams that embrace automation instead of resisting it.

Want to see how to avoid these mistakes in real time? Register for our upcoming webinar on Thursday, June 11 at 3 PM EST and see how to break through these exact roadblocks to hit 90%+ automation!

REGISTER HERE: https://us06web.zoom.us/webinar/register/3617805667417/WN_gwDCizSpR0qFn3WfWtpGZA#/registration

🌟 Stay Connected with Us:
🎙️ Connect with Pablo Gonzalez on LinkedIn
📬 Subscribe to Vendoroo's Weekly Newsletter
💼 Follow Vendoroo on LinkedIn
🌐 Visit Vendoroo's Website

Chapters:

02:29 — Why AI Feels More Overwhelming Than Ever
05:40 — Vendoroo's Track Record Across 500 Deployments
06:39 — Securing Team Buy-In For Safe AI Adoption
07:39 — The Core Thesis Behind Play Bigger
08:58 — Why Churn Gets Worse As You Scale
11:30 — Brian Rosenthal's Ten-Year Portfolio Exit
12:34 — Pablo's KTA Story And Investor Churn
15:29 — What Owners Really Want According To PM Trends
16:10 — Ending The Three-Hour Work Order Investigation
17:05 — How AI Troubleshoots Maintenance Around The Clock
18:59 — Creating Owner-Specific Maintenance Workflows
23:36 — Generative AI Versus Agentic AI
25:24 — Why Legacy Software Breaks In Modern Workflows
26:59 — The Four Paths To Agentic AI Adoption
28:48 — What 500 Deployments Reveal About Maintenance
31:09 — Risk One The Software Mindset
36:24 — Risk Two Interruptions Kill Momentum
40:34 — Risk Three Fear Leads To Sabotage
47:45 — The Story Behind Automating Toward Humans