Research, analysis, and perspectives on the built world.
Data center permitting spans multiple simultaneous approval tracks — special use permits, environmental reviews, noise ordinances, and utility coordination — each with its own timeline and interdependencies. AI monitoring systems track permit status across jurisdictions, parse regulatory changes, and generate probability-weighted schedule models for portfolio visibility. This post explains where delays actually come from and what AI can and cannot do about them.
April 12, 2026 ·5 min read
Full due diligence on a data center site spans ten domains, from power availability and grid study risk to title, environmental, and water feasibility. This checklist covers the go/no-go criteria for each, what AI automates, and what still requires experienced human judgment. Designed for institutional developers evaluating multiple sites simultaneously.
April 11, 2026 ·5 min read
Data center site screening covers 30 or more variables across power, land, zoning, fiber, and water before a site earns a full diligence budget. This guide breaks down the go/no-go thresholds for each domain and explains how AI-assisted screening lets development teams evaluate 10x more candidates in the same timeframe. The developer who screens more sites wins more deals.
April 11, 2026 ·5 min read
A step-by-step workflow guide to AI-driven data center site sourcing across six stages, from criteria definition through scored shortlist delivery, covering what manual search misses including off-market parcels and early power screening.
April 10, 2026 ·4 min read
Managing vendors across an active construction project involves invoice reconciliation, lien waiver tracking, contract compliance monitoring, and change order management. This post breaks down what AI handles now, what still requires human judgment, and how development teams with multiple active projects are deploying AI vendor management workflows in practice.
April 9, 2026 ·4 min read
Capital stack modeling in development deals, covering senior debt, mezz, preferred equity, and JV waterfall structures, has always been a time-intensive analytical process. This post breaks down what AI can automate (scenario modeling, sensitivity tables, term sheet comparison) and where human judgment is irreplaceable (lender relationships, promote negotiation, market reading).
April 8, 2026 ·6 min read
Construction draw management is one of the most process-heavy workflows in development, requiring monthly reconciliation of contractor pay applications, lien waivers, and budget variances across active projects. This post breaks down where AI compresses the administrative layer, what remains judgment-dependent, and how teams are deploying it at portfolio scale.
April 7, 2026 ·4 min read
Permitting delays are one of the most controllable risks in real estate development and one of the least systematically managed. This piece breaks down where approval timeline delays actually come from and how AI-powered permit tracking automates status monitoring, dependency mapping, and escalation so development teams stop managing critical path by email.
April 6, 2026 ·4 min read
Capital markets in real estate development covers the debt and equity instruments that finance projects from land acquisition through stabilization. This guide walks through the capital stack, key debt and equity structures, JV waterfall mechanics, and the specific workflows where AI is compressing timelines for institutional development teams.
April 5, 2026 ·5 min read