From Momentum to Maturity: Saudi Arabia’s Path to Scalable, Responsible AI

MOZN’s exclusive Ramadan suhoor event, also known as “Ghasaq”, is an annual gathering that
brings together leaders and decision-makers in the industry. This year, we welcomed a panel
of distinguished speakers:
Dr. Mohammed Alshahrani, Partner at BridgeGulf Consulting
Abdullah AlFarha, Legal Advisor specializing in Corporate Governance
Eng. Shayia Aldohaim, AI leader experienced in delivering AI initiatives
And Abdullah Alkhateeb, Solutions Director at MOZN
The esteemed guests gathered to learn about harnessing AI responsibly and its role in
shaping the future of business and technology.
Artificial intelligence has moved decisively beyond experimentation. Across global markets, the
question is no longer whether to adopt AI, but how to do so in a way that delivers durable
economic value while managing risk. Insights emerging from recent Ghasaq discussions
suggest that Saudi Arabia is entering this next phase with growing clarity.
What stands out is not speed alone, but intent: a deliberate effort to align investment flows,
governance, and organisational readiness.
The recent global acceleration in AI adoption did not stem solely from technical advances.
Capital played a decisive role.
Early funding concentrated on areas with immediate commercial applications, particularly
computer vision, where use cases translated directly into deployable products and revenue. By
contrast, language models lagged for years despite their technical maturity, largely because
they lacked a clear product layer and viable routes to market. That constraint fell away with the
emergence of accessible, user-centric interfaces, triggering a new investment cycle and a
sharp shift in capital allocation.
For Saudi Arabia, the relevance is clear. AI growth follows commercial clarity, not research
intensity alone. Markets attract capital when technology, usability, and governance converge.
From an investor perspective, this underscores the importance of viewing AI development in
phases, each unlocked by a different catalyst — whether regulatory readiness, trust, or
demonstrable economic return.
Governance Is Becoming a Competitive Advantage
In many jurisdictions, AI governance is treated as an obstacle to innovation. The Saudi
approach reflects a different logic.
National ethical frameworks and early regulatory engagement have helped define the
boundaries within which AI can scale, particularly in regulated sectors such as finance,
healthcare, and public services.
Saudi Arabia’s regulatory posture has evolved faster than many global peers, reshaping how
AI risk is addressed at a systemic level.
“Over the past five years, the Kingdom has made significant progress, not only in artificial
intelligence, but across various industries. Today, the European Union has not yet finalized its
Artificial Intelligence Act (AI Act), while the Kingdom has already made substantial advances,” — Dr.
Mohammed Alshahrani, Partner, BridgeGulf Consulting
This reframing has implications for regulators and boards alike. AI governance increasingly
belongs at the strategic level — spanning procurement, accountability, and risk appetite —
rather than being confined to technical teams. For policymakers, this creates a pathway where
regulation guides capital toward compliant, locally relevant innovation rather than pushing it
offshore.
The procurement function, in particular, has become a critical control point in how AI systems
enter regulated environments.
“When a company is interested in technology and ready to procure services or solutions from
another company, whether from a company like MOZN or others, this is where the role of the
procurement function within the organization becomes essential,” — Abdullah AlFarha, Legal
Advisor specializing in Corporate Governance
Why AI Fails in Practice
Drawing on implementation experience, Engineer Shaye highlighted that most AI initiatives
fail not because of weak models, but because organisations proceed without clearly defined
use cases or data readiness.
Many institutions pursue AI as an abstract capability rather than a tool tied to specific business
decisions. Without structured data, mature processes, and ownership at the operational level,
AI simply amplifies organisational noise.
For government entities, regulators, and financial institutions, this insight is critical. AI delivers
value only where operations are already formalised. It does not replace governance, it exposes
whether governance exists at all. For investors, this shifts due diligence away from model
selection toward decision readiness.
Global narratives often focus on an absolute shortage of AI talent. The Saudi context is more
nuanced.
Senior leadership capability is expanding, and early-career technical talent is entering the
market at scale. The primary constraint sits in middle management, the layer responsible for
translating strategy into execution and embedding AI into day-to-day operations.
Encouragingly, AI tools themselves are beginning to ease this constraint by supporting
decision-making, coordination, and productivity at the managerial level. Long-term talent
trajectories are further strengthened by high female participation in early-career AI and data
roles, a structural advantage compared to many global markets.
Large language models have not yet saturated financial services. This is not due to a lack of
demand, but to regulatory complexity and the rigorous requirements that govern financial
systems.
This restrained pace of adoption should not be misread as a sign of limited opportunity.
Instead, it reflects a market that remains open to solutions able to operate within clear
regulatory boundaries. For fintech leaders and regulators, the opportunity lies in developing
AI systems that embed compliance, explainability, and accountability by design, rather than
relying on controls retrofitted after deployment.
In this context, regulation does not suppress innovation. It shapes where durable, defensible
value can be created.
Among the most understated yet consequential insights was the role of AI in preserving
organisational knowledge.
As organizations scale, rotate talent, and restructure, institutional memory erodes, not only in
terms of data, but in the context behind past decisions, trade-offs, and outcomes. AI’s strategic
value may therefore lie not only in automation, but in its ability to make prior decisions,
lessons learned, and organisational reasoning accessible over time. This strengthens
continuity, auditability, and long-term coherence across complex institutions.
For large public and private organisations, this positions AI as a governance asset rather than
merely a productivity tool.
Moving Beyond AI Adoption
Taken together, these insights point to a market transitioning from enthusiasm to discipline.
Capital is present. Governance is maturing. Talent pipelines are forming. The differentiator
now is execution.
For investors, regulators, and decision-makers across Saudi Arabia and the GCC, the signal is
clear: the next phase of AI will reward those who institutionalise it well, not those who adopt it
first.
About Ghasaq
MOZN’s exclusive Ramadan suhoor event, also known as “Ghasaq”, is an annual gathering that
brings together regional leaders and decision-makers in the industry.

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