Two Medium Technology articles argue that AI “sovereignty” is becoming a board-level topic, linking technology choices to national and organizational control. They describe AI sovereignty as the ability of governments and companies to govern how AI systems are developed, deployed, and managed, rather than depending entirely on external providers. One piece frames AI literacy as part of sovereignty, suggesting that leaders and decision-makers need a working understanding of AI systems to make informed governance, procurement, and risk-management decisions. The other article discusses open source AI as a potential sovereignty lever, while cautioning that openness does not automatically eliminate dependency or risk. It emphasizes that factors such as governance practices, data handling, security, and the terms under which models and tools are used still matter. Taken together, the articles present AI sovereignty as an ongoing governance challenge that requires both technical capability and organizational oversight. They do not cite a specific policy action or single event, but instead position sovereignty concerns as emerging themes shaping how organizations approach AI development and adoption.