Research, analysis, and perspectives on the built world.
Digital labour means AI-augmented work capacity that handles structured, data-heavy tasks at scale. In real estate, it's landing first in digital infrastructure, industrial, and energy development — where data volume and deal velocity create the greatest demand.
March 21, 2026 ·5 min read
AI tools are outperforming human analysts on speed, consistency and scale across CRE research tasks. But judgment, accountability and stakeholder trust still require people. Development teams winning with AI have identified precisely which tasks belong to each.
March 20, 2026 ·4 min read
AI consulting for real estate means deploying agentic AI to augment — not replace — the professional services that drive development decisions. Here's how it works across due diligence, site selection, and underwriting.
March 19, 2026 ·5 min read
REITs running large development portfolios are deploying AI across milestone tracking, contract management, risk flagging, and board reporting. This post examines how AI is restructuring the development pipeline management function at institutional scale and where the highest-ROI applications are in 2026.
March 18, 2026 ·5 min read
The ROI of AI in real estate development is real and measurable, but only for teams that embed it into core workflows rather than bolt it on. This post examines where time savings concentrate across the development lifecycle, what the data shows on analyst leverage and deal velocity, and where the returns are still unclear. Quantified benchmarks from CBRE, JLL and McKinsey provide a grounded baseline.
March 17, 2026 ·4 min read
A state-of-play on AI in commercial real estate development as of 2026. Covers what's genuinely deployed across site screening, document review and financial modeling, where AI is still early, and how the leading institutional teams are structuring adoption. Grounded in productivity data from JLL, Goldman Sachs and CBRE.
March 16, 2026 ·4 min read
Institutional capital from Blackstone, Brookfield and KKR is committing at scale to physical AI infrastructure, not software. This post breaks down the three-part thesis — physical constraint as moat, data density compounding across asset classes, and developer sophistication as the execution gap — and what it means for development teams competing for those mandates in 2026.
March 13, 2026 ·4 min read
PE real estate firms are compressing deal intake to IC-ready packages from three weeks to under one week using AI across document extraction, market analysis, pro forma construction and risk flagging. This post maps where AI delivers measurable time savings and where human judgment remains the deciding factor.
March 12, 2026 ·6 min read
Institutional capital flows into digital infrastructure are accelerating — driven by hyperscaler demand, energy constraints, and the emergence of digital infrastructure as a standalone asset class.
March 9, 2026 ·7 min read