Working essays on AI, work, and the land.
What the field reveals that the conference room doesn’t. Specific, sourced, practitioner-authored.
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A third of your employees believe your AI adoption is about replacement. Another 62 percent believe it’s about augmentation. The gap between those two beliefs—and the leadership signals that calcify it—is where most transformations fail.
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Most organizations going through AI transformation are running an unmarked passage. Their leaders do not know it, because the language they have for the work is project management, and project management has no concept of marking. This is the leadership gap AI is about to expose.
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Your AI platform is deployed. Adoption is stuck somewhere between fifteen and thirty percent — and most of it is performative. Deployment is not adoption. This is the practitioner’s matrix for closing that gap, grounded in five frameworks behavioral science already settled.
Read →Methuselah has been adapting in place for 1,800 years. The organizations built to last at AI speed will need to learn the same pattern. This essay grounds the method in the redwood.
Taleb’s antifragility goes further than adaptability: not just withstanding disorder but gaining from it. This essay applies his frameworks to AI workforce transformation—how organizations can transform not merely to survive disruption but to compound through it.
LEGO’s near collapse in 2003 and recovery by 2014 is a dynamic capabilities case that most AI programs still miss. Published sources: Robertson and Breen, Brick by Brick (2013).
Cloud exploration protected from mobile exploitation. What the sequencing actually looked like, and what it means for organizations navigating AI adoption today.
A case in the Methuselah pattern applied to a commercial company. What structural durability looks like when the mission holds and the market keeps shifting.
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