Establishing Digital Competitiveness with AI Sovereignty – hbr.org

AI sovereignty has emerged as a strategic framework for understanding how enterprises gain greater control over their data, compute infrastructure, models, and governance systems that shape AI development and deployment. Many senior business and IT executives believe full technological independence is rarely feasible. However, effective AI sovereignty depends on resilient internal capabilities combined with selective external collaboration. Key dimensions of AI sovereignty include data localization, infrastructure capacity, regulatory authority, talent development, and cultural or linguistic representation in model design. By getting AI sovereignty right, business enterprises may establish long-term digital competitiveness in an increasingly contested global landscape.
Join Harvard Business Review and Red Hat for a brief discussion on Artificial intelligence (AI) sovereignty. This virtual discussion will seek to clarify the concept and its practical implications by examining AI sovereignty as both a technological and corporate policy construct — emphasizing the tension between digital individual autonomy and global
interdependence.

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