Research, analysis, and perspectives on the built world.
An AI agent for real estate plans and executes multi-step property workflows, from site selection to due diligence and underwriting. This guide explains where agents create value, how they differ from chatbots and what institutional teams should check before deployment.
May 9, 2026 ·5 min read
This post explains how AI energy management is moving into data center predevelopment, from power risk modeling and PUE forecasting to cooling strategy and procurement sequencing. It shows what developers can control before operations and where human engineering judgment still matters.
May 7, 2026 ·5 min read
The best AI for real estate depends entirely on the workflow and team type. This guide segments by use case -- residential agents, property managers, and institutional developers -- and identifies the tools and approaches delivering real ROI in each category in 2026.
May 4, 2026 ·5 min read
Voice AI is running in production across residential leasing and property management, handling millions of tenant conversations annually. This post covers what is deployable today, which scenarios still need humans, and what institutional teams should expect from voice AI over the next 18 months.
May 4, 2026 ·4 min read
AI can already handle a meaningful portion of residential agent tasks, from market data synthesis to document generation. But the displacement risk is uneven: residential transaction agents face growing pressure while institutional development professionals are being augmented, not replaced. This piece breaks down where AI wins, where it falls short, and what the evidence actually shows in 2026.
May 3, 2026 ·4 min read
Chatbots and AI agents are often confused in marketing but are structurally different tools. Chatbots handle single-turn interactions -- answering questions, qualifying leads, routing inquiries. AI agents execute multi-step workflows autonomously, using tools, maintaining context, and taking action across systems. For institutional real estate development teams, understanding this gap determines whether AI actually moves work.
May 3, 2026 ·4 min read
Generative AI is reshaping document-heavy CRE workflows, from IC memo drafting to lease abstraction and investor reporting. This piece explains where it adds genuine value, where hallucination risk demands verification, and why the transition from generative to agentic AI marks the more significant capability shift for development teams.
May 2, 2026 ·4 min read
Pre-construction digital twins are giving data center developers a new tool for design iteration and procurement planning. This post covers what AI-enhanced twin platforms can model before groundbreaking — power distribution, cooling efficiency, procurement sequencing — and where the limits remain.
April 30, 2026 ·4 min read
Power Usage Effectiveness (PUE) is the core efficiency metric for data center development. This evergreen guide covers the PUE formula, industry benchmarks by facility type (hyperscale to legacy enterprise), the design factors that drive PUE -- cooling technology, airflow containment, power conversion -- how PUE affects underwriting and hyperscale tenant negotiations, EU and US regulatory requirements, and AI applications in design-stage modeling and operational optimization.
April 28, 2026 ·5 min read