Abstract
Saudi Arabia’s Vision 2030 represents a comprehensive national transformation strategy aimed at economic diversification, institutional modernization, and digital innovation across public and private sectors. Artificial Intelligence (AI) has emerged as a foundational enabler of this transformation, supporting data-driven decision-making, operational optimization, and intelligent service delivery. However, AI adoption across sectors often remains fragmented, leading to duplication of efforts, data silos, and inconsistent governance standards. This study proposes a unified AI framework designed to enable cross-sector digital transformation under Vision 2030. The framework integrates interoperable data infrastructure, scalable machine learning architectures, governance and risk management controls, and sector-specific application layers within a centralized strategic oversight model. It emphasizes interoperability, explainability, cybersecurity resilience, and institutional capacity building to ensure sustainable and ethical AI deployment. By aligning AI capabilities with national strategic pillars—including smart cities, healthcare modernization, financial innovation, energy optimization, and industrial development—the proposed framework supports coordinated transformation across ministries and industries. The study contributes a structured governance-oriented AI architecture that enhances cross-sector collaboration, reduces implementation redundancy, and strengthens national digital competitiveness. The findings highlight that a unified AI strategy, supported by standardized governance mechanisms and shared digital infrastructure, is essential for achieving scalable, secure, and value-driven transformation aligned with Vision 2030 objectives.
Keywords
Artificial Intelligence; Digital Transformation; Vision 2030; Cross-Sector Integration; Smart Governance; Big Data Architecture; AI Governance; Digital Economy; Public Sector Innovation; National AI Strategy
Citations
IRE Journals:
Ghouse Gulam "A Unified AI Framework for Cross-Sector Digital Transformation under Saudi Vision 2030" Iconic Research And Engineering Journals Volume 9 Issue 10 2026 Page 914-925 https://doi.org/10.64388/IREV9I10-1716155
IEEE:
Ghouse Gulam
"A Unified AI Framework for Cross-Sector Digital Transformation under Saudi Vision 2030" Iconic Research And Engineering Journals, 9(10) https://doi.org/10.64388/IREV9I10-1716155
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