Built for Digital: Episode 3 - The uneasy dance of digital built policy

In Episode 3, we dig into the messy reality of digital policy in Australia: why political champions are rare, what Brisbane 2032 is getting wrong, and why LA 2028 might be the blueprint nobody's talking about.

From procurement to the Olympics, from government delivery models to a $50M funding program with "mixed success" — this one pulls no punches.

Built for Digital – Episode 2: "AI for Real"

In this episode, Adam sits down with Gavin to cut through the hype and talk about what's actually happening with AI in the built environment. Drawing on lessons from the smart cities and IoT eras, we explore the real opportunities, the pitfalls, and the practical steps organisations need to take right now.

In this episode:

• How AI compares (and mirrors) past tech trends like smart cities and digital twins
• Real AI applications in planning, asset lifecycle management and more
• Why "if data's a mess, AI will be a mess"
• Agile proof-of-concept vs. lengthy business cases — what actually works
• Governance, leadership and the rise of the Chief AI Officer
• Job displacement vs. augmentation: what's really happening?
• The surprising lack of a national AI industry body in Australia
• DBF's new guidance paper for the built environment sector

In the first episode of the Built for Digital series, Adam and Gavin sit down to take an honest look back at the smart cities era — what was promised, what was funded, and what actually delivered.From Australia's $50M federal investment to smart bins, smart parking, and smart barbecues, they unpack why so many initiatives collapsed the moment the funding dried up — and why the industry keeps making the same mistakes with each new wave of technology.They also dig into:• Why most smart city pilots led nowhere• Data quality: still the #1 Achilles' heel in 2026• The AI pilot problem — innovation theatre vs. real transformation• Why org structure and C-suite leadership are the real blockersThe verdict? The tech was never the hard part. Sorting your data out — and knowing why you're doing this — still is.