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.

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.

](https://www.youtube.com/embed/8ixk-yIAItY?si=r1fN8_Ub1noM9bs4&utm_source=newsletter.datadrivenaec.com&utm_medium=newsletter&utm_campaign=better-ai-isn-t-the-answer-a-better-question-is&_bhlid=33a9e95149e24c3f335cb8e5b898c9c14a38a0c7)

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