Better AI Isn’t the Answer. A Better Question Is.
Everyone wants smarter tools. But I've seen too many AEC firms rush into AI without first understanding what they're solving.
Everyone wants smarter tools. But I’ve seen too many AEC firms rush into AI without first understanding what they’re solving.
Here’s the truth:
👉 AI can’t fix confusion.
👉 AI won’t clarify goals.
👉 AI doesn’t work if you don’t know what “better” actually means.
90% of the time, the breakthrough doesn’t come from a smarter model — it comes from a clearer conversation.
Before you chase another shiny solution, pause and ask:
What exactly are we trying to fix?
Is this a people, process, or data issue?
What does success actually look like?
AI can accelerate progress — but only if you’re already pointed in the right direction.
We’re kicking off a new interview series with AEC professionals who bring unique data-driven perspectives to their work.
The first interview I wanted to share is a conversation where I was the guest. Tomaž Šimnovec and Zala Zia Lenárdič conducted the interview with me, and we explored how AI can enhance our understanding of the built environment’s effect on health — and why it’s a path to more empathetic design.
AI in Architecture (Part 3 of 4) - Shicong Cao
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