Part 8/12:
Energy: The sustainability and efficiency of AI infrastructure are heavily reliant on energy availability, particularly low-cost energy. Nations rich in natural resources are strategically positioned to harness their assets for tech-driven advancements.
Data: High-quality data is a prerequisite for training effective AI models, necessitating collaborative efforts across borders to ensure accessible datasets that comply with various regulatory demands.
Regulation: A cohesive regulatory framework is necessary to streamline and standardize data use and AI development, allowing nations to compete effectively in the global market.