Enterprise AI Adoption Stalls as Privacy, Sovereignty Barriers Rise
SYDNEY (iTWire via Google News) — Enterprise AI adoption is encountering resistance due to escalating privacy and data sovereignty challenges, according to new research from NTT DATA. The study reveals that compliance with conflicting global regulations is creating operational roadblocks for businesses seeking to implement AI solutions.
The research identifies European Union’s General Data Protection Regulation (GDPR) and California’s Consumer Privacy Act (CCPA) as particular hurdles for U.S. companies operating internationally. These frameworks, combined with emerging national data sovereignty laws, are forcing enterprises to navigate a complex web of requirements that limit cross-border data flows essential for AI training and operations.
‘Organizations are facing a paradox where AI’s potential is constrained by the very regulations designed to protect data subjects,’ said NTT DATA researchers in the study. The findings suggest that 68% of enterprises surveyed reported delayed AI projects due to compliance uncertainties, with financial services and healthcare sectors most affected.
This regulatory complexity comes as AI adoption costs rise, with enterprises allocating 22% more budget to data governance in 2024 compared to 2023. The study projects that without regulatory harmonization, AI implementation costs could increase by an additional 15-20% over the next three years.
