AIRT MLP Career Readiness v1.9: A Framework for Human-AI Cognitive Alignment in Career Transition and Workforce Relevance

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Authors: Kian Tik Go
Cited by: 2
References: 16

Abstract

In the midst of massive artificial intelligence disruption, the primary challenge facing the workforce is no longer a technical skill gap alone — it is a Cognitive Sovereignty gap. This paper introduces MLP Career Readiness v1.9, a practical framework that employs AI as a Probabilistic Mediator to synchronize a candidate's authentic identity (Biji) with the evolving demands of the global labor market. Through a three-phase methodology — Flow, Grow & Glow — and grounded in the Walking Books Philosophy, this research demonstrates that the transition from a passive Front-End User (FEU) to a Sovereign Narrative Architect is the key to long-term digital endurance. The outcome is a measurable transformation of the individual from a state of Ruwet (cognitive dissonance) toward Genah (full coherence) — operationalizing the Grand Formula: (Consciousness × Calculation)^Humanity < Transcendence.

Fields of Study & Subjects

Ethics and Social Impacts of AI Innovation Sustainability Human-Machine Systems Artificial Intelligence Applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
16 April 2026
Language
EN