What's Happening in Local Land Use | Q2 2026
Tracking three months of notable land use and zoning decisions with Shovels Decisions
Property Management
Property management as a business and an operating discipline. Thesis Driven reports on property management systems and platform openness, centralization and offshoring, AI and automation in operations, third-party management economics and fee pressure, maintenance and resident service models, and the data infrastructure operators need to run a portfolio.
53 articles
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What We've Learned About AI Readiness in Real Estate Today
For multifamily operators, the AI gap is shifting from technology to execution
How Offshoring Can Transform Real Estate Math
A first-person account of how one operator used overseas teams to scale faster, lower costs, and compete at the institutional level
Seven Surprising Facts About the State of AI in Real Estate
What 2025 Revealed About the New Rules of CRE Innovation
Will AI Drive Property Management Fees to Zero?
The long view on AI, centralization, and third-party management
Four Stories of AI in Action
Case studies from real estate companies implementing AI to solve real problems from delinquency to diligence
Deep Dive: Renew
A renewals point solution is becoming something far bigger, with broad implications for multifamily
What Does it Mean to be "AI Ready?"
Exploring how real estate operators can prepare themselves for AI, from data operations to governance and compliance
Inside AvalonBay’s Tech Strategy, Rukus Esi on Building the Multifamily Operating System
Episode 17 of the Thesis Driven Leader Series
Full Episode: Inside AvalonBay’s Tech Strategy, Rukus Esi on Building the Multifamily Operating System
Episode 17 of the Thesis Driven Leader Series
The State of Modern Tenant Screening
Application fraud is rising, AI-generated documents are everywhere, and regulation is tightening. How leading multifamily operators screen applicants in 2026.
Building the Zero-Employee Property Manager
From AI to automation, centralization, and offshoring: how close are we to machines doing the property manager's job?