The global push for national control over AI leads to fragmented and economically inefficient infrastructure. However, this duplication of data centers, semiconductors, and power systems creates a significant, long-term investment cycle for companies in those sectors as more physical assets are required to meet the same level of demand.
The US pursues AI dominance by providing selective access to its tech stack for allies, creating a controlled ecosystem. In contrast, China focuses on building a self-sufficient, indigenous AI stack, which it then exports via lower-cost models and partnerships, particularly to the Global South.
The push for domestic AI compute infrastructure is creating massive, localized energy demands. This leads to political pushback over rising power prices and grid strain, creating a significant market opportunity for behind-the-meter or off-grid power solutions that can service new data centers independently.