If you only have ten minutes to understand the quiet resurgence of brick-and-mortar (yes, really) this week, here's the version that actually matters.
What's changing
The shift began quietly. A handful of teams, working in parallel and mostly unaware of each other, arrived at similar conclusions: the old approach optimized for a constraint that no longer binds. Hardware got cheaper. Models got smaller. Distribution got more direct. Each individual change felt incremental — but together they reset the cost curve.
Why it matters
Three quiet trends are converging: cheaper compute, better tooling, and a new generation of operators who grew up with these tools as defaults. Each was a slow burn on its own. Together they compound, and that compounding is what most quarterly forecasts will miss.
What to do about it
Three quiet trends are converging: cheaper compute, better tooling, and a new generation of operators who grew up with these tools as defaults. Each was a slow burn on its own. Together they compound, and that compounding is what most quarterly forecasts will miss.
- Adopt early — the cost of waiting is higher than the cost of failing fast.
- Measure honestly — pick two metrics, ignore the rest for the first month.
- Talk to users — the gap between assumption and reality is wider than ever.
The takeaway
The biggest mistake will be treating this as a tooling question when it's actually a strategy question. Tools change. The underlying shift in customer expectations is what compounds.
