The current trajectory of Artificial Intelligence (AI) development represents a critical phase transition from a tenable academic pursuit to an untenable industrial behemoth, and ultimately toward an unsustainable environmental burden. In this review, we redefine waste management in sensu lato, encompassing digital redundancy, cognitive underutilization, and the physical e-waste generated by rapid hardware obsolescence. We argue that the current AI paradigm suffers from a ‘Curse of Dimensionality’ not only in its feature space but in its ecological footprint, necessitating a return to Algorithmic Parsimony—rooted in the Minimum Description Length principle [1] and William of Ockham’s razor—as a fundamental pillar of international sustainability standards. By analyzing the interplay between the outcry over blatantly unsustainable data centers [2–5] and emerging green AI frameworks [6,7], this paper provides a roadmap for a mutually uplifting synergy. We further introduce The Symbiotic Policy Covenant—a concrete policy intervention framework comprising f ive pillars: Algorithmic Parsimony Standards, Expanded Waste Taxonomy, AI Equity Safeguards, Paradigm Transition Investment, and International Regulatory Alignment. We conclude that true sustainability in the age of AI requires a holistic adherence to global standards [8,9] that transcend mere climate concerns, fostering a safer, more equitable, and durable integration of machine intelligence with ecological stewardship.