<h1>AI infrastructure capacity, safety, data governance and machine-scale defensive requirements mandated, forcing expanded networks, revised retention and automated guardrails.</h1> The text identifies four dominant regulatory-policy prescriptions. First, infrastructure capacity (power, computing, network bandwidth) is prescribed as a prerequisite for AI deployment, with the operative effect that states and operators must expand infrastructure capacity to enable lawful, scalable AI services, linking capacity to economic prosperity and national-security resilience. Second, security and safety are prescribed as mandatory compliance conditions for adoption, with the operative effect that AI systems must incorporate enforceable safety and cyber-security measures before deployment. Third, data-governance adjustments are prescribed to accommodate synthetic and machine-generated time-series data, with the operative effect that data classification, retention and merging rules must be revised to integrate machine data with human-generated datasets. Fourth, defensive-capability requirements are prescribed to operate at machine scale and include runtime guardrails to secure models, with the operative effect that cyber-defense obligations will require automated, model-level enforcement mechanisms.