Almost all companies operating in Spain already consider that private and sovereign artificial intelligence (AI) plays an essential role and are considering relocating their AI infrastructures due to "geopolitical concerns," as communicated this Monday by NTT Data.
In detail, 96% of Spanish organizations maintain that private and sovereign AI is decisive, one percentage point above the global average. However, most companies worldwide admit that they are still not in a position to fully deploy it.
Furthermore, 97% of the companies surveyed in Spain assert that their organization is studying relocating their AI infrastructures to certain geographical locations due to "geopolitical concerns," as stated in the "Global AI Report 2026: Playbook for Private and Sovereign AI," prepared by NTT Data.
The document also highlights the "strong optimism" of Spanish executives: all surveyed companies believe that their current infrastructures can absorb present needs, and 95% claim they are already prepared for the deployment of agentic AI.
Regarding the main obstacles that hinder the implementation of private and sovereign AI models in Spanish companies, these largely coincide with those of the rest of the world, although with "some relevant nuances."
The study identifies as barriers regulation (cited by 28% of organizations), the required investment volume (27%), technical complexity (24%, compared to more than half globally), and the shortage of professionals with specific qualifications.
Regarding the reasons to bet on sovereign strategies, one-third of participants in Spain emphasizes the security factor and the fact that it can become a competitive advantage, while 23% point out that it helps to simplify the technological ecosystem they work with.
According to the authors of the report, this shows that the challenge of sovereign AI goes beyond locating data or complying with regulatory frameworks: it involves redesigning platforms, strengthening cybersecurity capabilities, integrating hybrid environments, and forming teams with advanced skills in AI, cloud, data, compliance, and technological governance.
The document also detects a "background transformation" in the way organizations conceive, manage, and scale their AI systems, and highlights that data jurisdiction becomes "a key architectural constraint." At the same time, it warns that "although most organizations recognize this change, few are acting with the necessary speed," placing at the forefront those that are already redesigning their infrastructures, governance models, and operational environments.
The report concludes that private and sovereign AI "requires highly coordinated ecosystems." Its findings are based on surveys of about 5,000 senior decision-makers —including 75 in Spain— from more than a dozen industries, in over 30 markets and five regions.
In Spain and around the world, the sovereignty and privacy of AI "already condition the competitiveness and the ability of organizations to transform AI into business value," says the partner responsible for Data and Artificial Intelligence at NTT Data, Andrea Cacciapaglia.
"Companies increasingly understand that scaling AI requires control over data, security, regulatory compliance, and the ability to operate in complex hybrid environments. The differential will be in the ability to orchestrate that ecosystem without losing agility or capacity for innovation," he concludes.