This research investigates the transformative role of Artificial Intelligence (AI) micro-credentials in higher education through a qualitative-dominant mixed-methods cross-national comparative study. As universities increasingly unbundle traditional degrees to meet industry demands, this study maps the structural and pedagogical shifts occurring across the United States, the European Union, and Singapore. Utilizing the Triple Helix Model and an evolved TPACK-AI Framework, the research identifies three distinct regional architectures: the Market-Pull dominance in the US, the Regulatory-Filtered approach in the EU, and the State-Push model in Singapore. Systematic documentary analysis, semi-structured interviews (N=45), and quantitative surveys (N=900) reveal that while co-developed credentials accelerate workforce readiness, they introduce significant pedagogical friction. Key findings indicate a 40% perceived decrease in faculty content autonomy in market-driven models, alongside a fundamental shift in the instructor’s role from knowledge creator to e-moderator. Analysis via the SOLO Taxonomy further demonstrates that while US students lead in specific technical proficiency, Singaporean students exhibit higher relational integration of AI competencies. The study concludes that sustainable institutional transformation requires a Balanced Helix configuration that preserves academic rigor against rapid tech obsolescence. It offers critical strategic recommendations for university leaders to protect pedagogical autonomy while leveraging industry standards to foster a robust, ethically-aware, and AI-ready graduate population capable of navigating the complexities of the modern global knowledge economy. This multi-level analysis provides a blueprint for balancing market agility with institutional integrity.