
BIM’s Mid-Life Crisis: Lessons From the 1987 Productivity Trap
The post draws a parallel between the 1987 productivity paradox of PCs and today’s stagnant construction productivity despite two decades of BIM adoption. It argues that BIM has been used as a “faster typewriter,” merely digitizing old processes, which prevents real gains. A 15‑year lag pattern suggests the breakthrough will come once firms shift workflows, integrate AI, and treat 2026 as a training year. The author warns that roles will evolve from drafting to data‑centric, AI‑augmented functions.

Liability, Not Legacy: Why A16z Is Wrong About Construction
Andreessen Horowitz (a16z) recently published a piece claiming the $13 trillion construction sector is stuck with 1997‑era software and needs an AI‑native overhaul. The post argues the narrative is a thinly veiled pitch for a16z’s own portfolio startups, ignoring the deep,...

From Static Data to Spatial Teammates: How SIMA 2 Breathes Life Into BIM
Google DeepMind’s SIMA 2 introduces a general‑purpose AI agent that can reason, act, and learn inside 3D virtual worlds, turning static Building Information Models into interactive environments. By embedding the agent in BIM and GIS models, users can issue natural‑language...

The Compliance Paradox: When Bad BIM Data Bypasses the Rules
Automated building permit checks increasingly depend on BIM data labels rather than physical geometry, creating a loophole where mis‑classified elements pass compliance tests. The article illustrates how this “false positive” trap lets developers bypass safety rules, shifting risk to municipalities...
