The Quest for Sovereignty and Cost Balance in Artificial Intelligence Technologies
While governments aim to reduce dependence on artificial intelligence, striving to make every system sovereign can increase costs and slow down processes.
Growing dependence on artificial intelligence is prompting governments to secure their critical infrastructure, but adopting a fully sovereign AI approach across all areas carries the risk of increasing costs and slowing down systems.
Artificial Intelligence Dependence and Security Concerns
As their dependence on artificial intelligence increases, countries and institutions face the risk of losing control over critical infrastructure due to foreign court decisions or contract changes. This has led to the activation of national strategies and funds to secure the technology.
Various Dimensions of the Concept of Sovereignty
The concept of sovereignty includes four distinct types of control: regional, operational, technological, and legal. The practical separation of these elements paves the way for all-encompassing, one-size-fits-all decisions to lead to over-classification.
Costs and Time Requirements
Sovereign artificial intelligence offerings typically entail 10 to 30 percent higher costs compared to their global alternatives. Furthermore, migration processes to such secure environments generally take three to four years.
Targeted Strategies Based on Data Sensitivity
According to McKinsey data, sovereignty could shape $600 billion in artificial intelligence spending by 2030. Experts recommend classifying every workload according to data sensitivity and applying sovereignty only in necessary areas.