Is Resilience a Systems Problem?
In my last post, I wrote about the shift from shutdown to speedrun — how we’ve had to adapt, over and over again, just to keep moving. First to survive the pandemic. Now to keep up with AI.
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From Shutdown to Speedrun
The Cost of Surviving the Age of Constant Upgrades
Strength Through Repetition
The page isn’t the enemy. The page is the gym. You don’t show up to look good. You show up to build grip. Form. Force. Reps. That’s how the voice gets real.
Reinvention > Transformation
Most reorgs I’ve seen are just corporate feng shui — shift a few boxes, rename a few titles, pretend it’s visionary. But this one? This one actually maps to something real. For once, the language isn’t just for clients — it mirrors what I’ve been doing in my own damn operating system.
You’re Sending Self-Driving Cars Down Unmarked Roads
AI doesn’t fail because it’s bad — it fails because your data lacks the infrastructure it needs to navigate. Language models don’t just search — they interpret. Most orgs haven’t built for that.
The MVP Mirage
Most MVPs aren’t minimum or viable — they’re just premature.
Leadership Reflection
One of the easiest traps to fall into as a leader or expert is assuming we already understand. That assumption — even when subtle — shuts down curiosity, slows progress, and can quietly place the burden of clarity on everyone but ourselves.