Homegrown AI Hardware Ecosystem

Analyze a national strategy for building an AI software-hardware ecosystem, covering AI chips, model development, data governance, and domestic deployment across sectors. Compare approaches to fostering homegrown capabilities versus reliance on external platforms, including risk management, talent pipelines, supply chain resilience, and export controls. Propose a practical, phased plan to reach measurable milestones in both research and industry applications.