AI costs are collapsing, models are specializing, and data centers are rewriting the rules of demand.

In this week’s Bricks, Bucks & Bytes episode:

🚨 AI token costs have collapsed, from $32 to $0.09 per million (race to zero begins)

🏗️ Data center demand is exploding, but electricians are the new bottleneck

🧠 “Specialized AI” is rising, but is it real value or just marketing spin?

But that’s not all:

  • Patric Hellermann questions whether AI “specialization” is just dressed-up commoditization.

  • Dustin DeVan breaks down why deterministic systems, not probabilistic AI, will win in enterprise.

  • Martin drops the uncomfortable truth: 90% accuracy might be useless if you’re selling to professionals.

  • And then things get philosophical… Would you board a plane flown entirely by AI?

Founder Spotlight: Anna Berger (Trayd)

Raised a $10M Series A… in just 3 weeks. Moving fast in one of construction’s most overlooked bottlenecks: workforce + operations. We dig into:

  • What it actually takes to raise at speed in this market

  • Why construction labor + ops is still massively underserved

  • How Trayd is positioning itself in a crowded, noisy “future of work” narrative

  • What most founders get wrong about building in construction

🎧 Listen now for:

  • Why falling AI costs might destroy moats, not create them

  • The real constraint behind the data center boom (hint: it’s not capital)

  • Why enterprise AI needs governance, not just intelligence

  • The brutal truth about selling “90% accurate” tools in construction

  • How Anna Berger is scaling fast and where she’s placing her bets

Watch the Full Episode

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