AIRT MLP Career Readiness v1.9: A Framework for Human-AI Cognitive Alignment in Career Transition and Workforce Relevance
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.
Authors
- Kian Tik Go (ORCID: https://orcid.org/0009-0004-1424-1603)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-04-16
- DOI
- https://doi.org/10.5281/zenodo.19609063
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00