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Every morning
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The post argues that moving to AI‑native operations is more than tool adoption; it demands a redesign of decision architecture across the firm. With AI agents capable of continuous, high‑accuracy reasoning, the limiting factor shifts from headcount to who controls the decision‑making framework. Growth velocity therefore depends on how well human judgment is orchestrated with AI execution rather than sheer labor. Building AI‑native growth teams means embedding this orchestration into everyday processes and redefining roles around AI governance.
The Safe Harbor Zones framework defines the sweet spot where an organization’s tribal capacity naturally aligns with its strategic priorities, dramatically boosting AI project success. By concentrating early AI investments within these zones, firms can achieve up to 2.3 times...
The blog argues that the software era’s near‑zero marginal cost model collapses for generative AI. Unlike pure bits, AI’s intelligence relies on massive, steel‑like hardware that does not scale cheaply. This creates a structural, not temporary, expense tied to physical...
At GTC 2026 Jensen Huang outlined NVIDIA’s "Industrial AI" thesis, arguing that compute has moved from a cost‑center to a production capacity and that AI tokens are becoming commoditized outputs. The company positions its 20‑year‑old platform as the sole infrastructure...
The Commitment Crucible Framework identifies a strategic zone where organizations invest resources that cannot be recovered, characterized by high cost and low reversibility but offering exponential upside. Positioned in the upper‑right quadrant of the Strategic Bet Matrix, the crucible demands...
The Business Engineer’s March 2026 post presents an updated, vertically integrated map of the AI ecosystem, highlighting that the sector is now more structurally legible than ever. It identifies five simultaneous races—infra, distribution, agentic stack, enterprise capture, and governance—that now...
