Saudi Thought Leadership · Edition 02

AI in 2025: Nations Compete on Technology, But They Win on Readiness

Prof. Mansoor S. AlmalkiNovember 22, 2025

A global transformation is unfolding, shaped not by geography or capital, but by a nation's readiness to operationalize AI at scale.

Abstract composition of light and technology

The countries shaping AI leadership today are not merely building advanced models; they are redesigning systems, rethinking governance, and embedding AI into the core of their economies.

Two of the world's most influential publications, The Stanford AI Index 2025 and McKinsey's State of AI 2025, reveal this shift clearly. When interpreted through a Saudi Vision 2030 lens, they illuminate both the scale of the opportunity and the pathways required to convert national ambition into sector-level outcomes.

Drawing on strategic experience in leadership and global consulting, this edition advances one central insight:

Nations do not compete on AI tools; they compete on AI readiness, and readiness must be sector-specific.

I. Global Insights Through a Saudi Lens

1. Saudi Arabia Joins the World's AI Producers

The Stanford AI Index places the Kingdom among a select group of nations producing "notable AI models," alongside the United States, China, France, and Canada.

This signals a strategic transition: Saudi Arabia is no longer only adopting AI, it is authoring it.

2. A $100 Billion Commitment to AI

The report highlights:

"Saudi Arabia announced Project Transcendence, a $100 billion AI initiative … including a partnership with Alphabet to develop Arabic-language AI models."

This places the Kingdom among the world's leading sovereign AI investors.

3. The Global Execution Gap

McKinsey identifies a central challenge: "88% of organizations globally use AI in at least one function."

Yet only "around one-third" have scaled AI across the enterprise. This is the Global Execution Gap. Saudi Arabia has the opportunity to build for scale from day one.

4. High Performers Redesign Systems, Not Just Tools

McKinsey notes that organizations generating the highest returns are:

"2.8× more likely to fundamentally redesign workflows when adopting AI."

This insight directly influences sector-level transformation.

II. Three Strategic Themes Shaping Saudi Arabia's Next Phase

Theme 1: Embedding AI into National Systems, Education, Workforce, and Talent

Global reports consistently identify talent as the world's most constrained AI resource. Saudi Arabia's Human Capability Development Program provides a strong foundation, and the next step requires embedding AI across the entire learning ecosystem.

A key insight emerges: AI must evolve from a standalone major to an integrated element across every academic program, influencing the design of each course.

This means AI should inform:

This direction aligns with prior thought leadership in Arab News, where I emphasized that AI must become foundational across all academic disciplines, not confined to specialized majors. Saudi Arabia's future workforce will be defined by hybrid professionals who can integrate AI with communication, leadership, and sector-specific expertise, a vision that aligns directly with the global shift toward multidisciplinary AI readiness.

This requires:

Saudi Arabia is positioned to lead globally by embedding AI across general education, not only specialized majors.

Theme 2: Sovereign & Localized AI, the Kingdom's Strategic Differentiator

Saudi Arabia's AI strategy is increasingly defined by sovereignty and contextual intelligence.

With initiatives such as Allam, HUMAIN's Arabic-first models, SDAIA's national governance structures, and Project Transcendence, the Kingdom is building the foundations of sovereign AI. Recent large-scale pilots demonstrate that the Kingdom's sovereign AI agenda is already progressing from design to implementation.

Localization in this context becomes a transformative process, requiring:

The AI Index highlights an important global challenge: "Many datasets lack clear or accurate license information, creating legal and ethical risks." Saudi Arabia's early investment in data policy, privacy, and governance provides a strong advantage.

The Kingdom's opportunity lies in shaping contextual intelligence, not only artificial intelligence.

Theme 3: Sector AI Playbooks, the Missing Operational Layer

Saudi Arabia has already built the essential infrastructure: Vision, Investment, Governance, Talent development, and Sovereign models.

The next national requirement is clear: Sector AI Playbooks, practical, sector-specific manuals that translate Vision 2030 into operational guidance.

These playbooks must outline:

Crucially, these playbooks must be underpinned by a strong Sectoral Agenda that mandates clear, sector-specific action items that include:

Public Sector & National Institutions

Education

Workforce Development

These actions collectively support the Kingdom's transition from AI ambition to AI capability.

III. Conclusion: The Future Belongs to Nations That Execute

The global reports converge on one truth: AI will not determine which nations lead; execution will.

Execution requires readiness, governance, talent, and sector-specific system design.

Saudi Arabia is now entering a new phase of Vision 2030: converting national AI ambition into operational models grounded in strategy, capability, and cultural alignment.

This is the purpose of The Saudi Thought Leadership: to interpret global shifts, contextualize them for Saudi Arabia, and illuminate pathways shaping the Kingdom's future.

If these insights spark a question or open a new line of thought, share them, and contribute to a broader national conversation.

And for those responsible for steering strategic execution, the following frames the immediate agenda for AI readiness and governance.

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