AI Chernobyl and the Collapse of Civilization: Diagnosing and Rebuilding the Architecture of Trust is a philosophical inquiry into the systemic fragility of modern civilization under the impact of artificial intelligence. Drawing on the works of Heidegger, Jonas, and Arendt, this paper introduces the concept of an “AI Chernobyl”—a metaphor for the cumulative collapse of epistemic trust caused by algorithmic systems that erode authenticity, accountability, and shared meaning. The study diagnoses five dimensions of “civilizational breakdown” in the age of AI: epistemic corruption, moral desynchronization, institutional automation, narrative fragmentation, and collective nihilism. It proposes a philosophical framework for rebuilding the architecture of trust through five normative principles—Radical Verifiability, Distributed Sovereignty, Epistemic Integrity, Emergent Governance, and Systemic Resilience. Methodologically, the work bridges philosophy of technology, ethics, and systems theory, combining scenario analysis with hermeneutic reflection. Conceptually, it shifts the discourse from the technical control of AI to the existential reconstruction of civilization’s ethical foundations. The paper aims to contribute to ongoing discussions in AI ethics, existential risk, and political philosophy by reframing the challenge of artificial intelligence not as a technological threat alone, but as a crisis of meaning, truth, and trust at the core of human civilization.