AI must be customized to reflect local culture and values, requiring nations to actively shape their digital intelligence rather than outsourcing it.

Data management is evolving; now, intelligence can be integrated directly into data layers, enhancing database capabilities.

AI isn't just computing infrastructure; it's also cultural infrastructure, economic strategy, and national security.

Countries are seeking infrastructure independence to develop their own AI models, allowing them to shape their future without reliance on other nations.

The digital workforce of a country or company should be developed internally, with a focus on continuous improvement and adaptation to local contexts.

Investing in AI infrastructure and preventing capital lock-in will be crucial for countries to remain competitive in the future.

AI technologies must be tailored to local contexts to ensure they are effective and culturally relevant, rather than relying solely on universal solutions. Every nation must own its AI strategy to ensure it aligns with its cultural, economic, and security needs.

The ability to customize AI systems based on local data and norms is critical for nations to effectively leverage AI technology.

The infrastructure investment required for AI at a global scale is much larger than for other technologies, necessitating a collaborative effort to build it.