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From this standpoint, ethical prioritization should account not only for worst-case magnitude but also for present likelihood, structural incentives, and institutional path dependence. A narrow focus on scenarios risks underweighting ongoing harms associated with extreme power concentration and governance failures. Moreover, it may obscure the possibility that effective mitigation of risks is contingent upon addressing current imbalances in control over AI infrastructure, capital, and information ecosystems. Accordingly, an ethically comprehensive approach to AI risk should incorporate robust attention to political economy, decentralization, accountability mechanisms, and safeguards against the consolidation of technological power, treating these not as secondary concerns but as foundational conditions for sustainable long-term safety.