Research, analysis, and perspectives on the built world.
Institutional capital teams are deploying AI across deal screening, underwriting, portfolio monitoring, and investor reporting. This post covers where AI is adding measurable value today, what the human judgment layer still requires, and how to sequence deployment across a capital team's workflow.
May 4, 2026 ·4 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
N+1, 2N, and the Uptime Institute tier framework govern data center uptime guarantees, hyperscale tenant specifications, and a significant portion of MEP construction cost. This guide explains how each redundancy level works, how it maps to facility tiers, the capex implications for developers, and how to match architecture to tenant profile and return targets.
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
The Uptime Institute's four-tier classification system defines data center reliability requirements with direct implications for site requirements, MEP capex, and tenant targeting. This guide breaks down what each tier demands in practice and how developers should use tier specification as a development decision variable.
May 2, 2026 ·5 min read
Power demand modeling is one of the most consequential early-stage tasks in data center development, and AI compute workloads have made it harder. This piece walks through the five-step load forecasting workflow, covering where AI compresses the process and where licensed engineers and utility relationships remain essential.
May 2, 2026 ·5 min read