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CURIOUS ROOSTERAuthor: Donald Adeniji
The child inside you is the one who makes you want be curious about everything. Life is short. Enjoy every moment and be a child sometimes. It feels so good! You might be scared, but your curiosity is stronger than your fear. Welcome to curiosity Language: en Genres: Philosophy, Society & Culture Contact email: Get it Feed URL: Get it iTunes ID: Get it |
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The Productisation Imperative and PIBM Framework: Securing Economic Value
Monday, 24 November, 2025
I. Executive Summary: Securing Value and Certainty in the AI Supply ChainA. Overview of the Productisation Imperative (PI)The Productisation Imperative is an explicit, urgent call for every professional and organization to own, protect, and amplify their Experience, Expertise, Authoritativeness, and Trustworthiness (EEAT). This EEAT is defined as the most valuable data asset in the AI era. The PI mandates a critical pivot: value is no longer derived from the standardized output that AI can easily replicate, but from the structured source material—the Productised IQ.Productised IQ constitutes verified, compensated intelligence structured specifically to serve as high-quality source material for advanced AI systems. The implementation strategy involves transforming amorphous human expertise into clearly attributed, discoverable knowledge assets with robust compensation mechanisms. The ultimate impact of this transformation is the elimination of the systemic "zero-trust attribute" inherent in unverified AI outputs, allowing organizations to command premium pricing for Engineered Certainty.B. PIBM as the Strategic RoadmapThe strategic necessity of the PI is framed by a shrinking window of opportunity. As intelligent systems increasingly rely on strong EEAT signals for discoverability and recognition, intelligence that remains unstructured, uncompensated, or undiscoverable will effectively cease to exist in AI-mediated search and recommendation systems. The organizations that secure their survival over the next two years are predicted to be those that productise their intelligence before AI fully commoditizes their outputs.The PIBM framework serves both a diagnostic and a prescriptive function. Initially, the PIBM Case Study (November 2025) diagnosed the core failure pattern of the AI industry: the pervasive inability of AI companies to achieve profitability.
