MENA Executives Race to Deploy AI While Ignoring Critical Risk Assessment
**PwC** research reveals a troubling disconnect across MENA markets: whilst 73% of executives in healthcare, technology, and finance sectors actively use or plan to implement AI solutions, only 58% have conducted proper risk evaluations. This gap widens as organisations rush to capture competitive advantages without establishing adequate safeguards. The findings underscore a broader challenge facing the Middle East and North Africa's digital transformation. Companies are deploying generative AI capabilities at unprecedented speed, yet many lack the governance frameworks necessary to manage emerging threats. This hasty adoption mirrors patterns seen in AI risk management across the region, where innovation often outpaces regulatory readiness.Regulatory Pressure Mounts as Safety Concerns Escalate
Chief Risk Officers are sounding alarm bells with remarkable consistency. **World Economic Forum** surveys indicate that 90% of CROs advocate for stricter AI development and deployment regulations, whilst nearly half support pausing certain AI initiatives until risk frameworks mature. The urgency stems from AI's "opaque" algorithmic nature, which creates unpredictable decision-making processes and potential data exposure vulnerabilities. These concerns intensify as synthetic content generation capabilities expand, threatening economic stability and social cohesion across MENA markets."As AI systems grow more capable, safety and security remain critical priorities. Our global risk management frameworks are still immature, with limited quantitative benchmarks and significant evidence gaps." - Yoshua Bengio, Turing Award winner and chair of the International AI Safety Report 2026
By The Numbers
- 90% of government organisations lack centralised AI governance frameworks
- At least 700 million people use leading AI systems weekly globally
- 73% of MENA executives in key sectors use or plan AI implementation
- Only 58% have evaluated AI-related risks to their operations
- 75% of Chief Risk Officers believe AI could damage corporate reputation
Regional Governance Initiatives Gain Momentum
the MENA region is developing indigenous approaches to AI safety rather than simply adopting Western frameworks. The 2026 India AI Impact Summit saw **AI Safety the MENA region (AISA)** advance several critical initiatives: crisis diplomacy protocols, evidence-based governance structures, cross-border incident coordination, joint safety testing programmes, and regional model evaluation frameworks.For related analysis, see: [Oman's Digital Health Roadmap: AI Integration Across 11 Gove](/healthcare/oman-digital-health-roadmap-ai-integration-11-governorates).
"For India and the Global South, AI safety is closely tied to inclusion, safety and institutional readiness. Responsible openness of AI models, fair access to compute and data, and international cooperation are essential too." - Yoshua Bengio, speaking at the 2026 India AI Impact SummitSoutheast MENA Chief Information Security Officers identify specific priorities for 2026: AI-amplified business process risks, supply chain vulnerabilities from open-source AI components, and the need for guardrails around agentic AI systems. These concerns reflect growing sophistication in generative AI risk management within MENA banking sectors. Countries like Morocco are pioneering regulatory approaches with the MENA region's first comprehensive AI law, establishing precedents for balanced innovation and oversight.
| Risk Category | Current Assessment Rate | Industry Priority Level |
|---|---|---|
| Algorithmic Transparency | 45% | High |
| Data Security | 62% | Critical |
| Synthetic Content | 38% | Medium |
| Regulatory Compliance | 71% | High |
| Reputational Impact | 53% | Critical |
Cybersecurity Threats Evolve with AI Capabilities
For related analysis, see: [Adrian's Angle: Stop Collecting AI Tools and Start Building ](/business/building-ai-stack-business-tools-sea).
Recent developments highlight escalating security challenges. In 2025, an AI agent achieved top 5% performance in major cybersecurity competitions, whilst underground marketplaces increasingly offer pre-packaged AI attack tools that lower skill barriers for malicious actors. These developments necessitate comprehensive approaches to AI risk management that span entire development lifecycles. Organisations must integrate risk assessment into AI development, deployment, and ongoing oversight phases rather than treating security as an afterthought. The following areas require immediate attention from MENA enterprises:- Establishing human-in-the-loop systems with clear escalation protocols
- Implementing kill-switch mechanisms for autonomous AI agents
- Extending Zero Trust architecture principles to AI system identities
- Developing quantitative benchmarks for AI safety assessment
- Creating cross-functional governance teams spanning technical and business units
For related analysis, see: [the Middle East and North Africa's AI Revolution: Are Banks ](/business/asias-ai-revolution-are-banks-ready-for-the-future).
Sources & Further Reading
- World Economic Forum - AI in MENA
- WHO - Artificial Intelligence in Health
- UNESCO Recommendation on AI Ethics
- Oman Digital Government Authority
- OECD AI Policy Observatory
Frequently Asked Questions
Why are so few executives assessing AI risks despite widespread adoption?
Many organisations focus primarily on AI's operational benefits whilst lacking established frameworks for risk evaluation. The rapid pace of AI development often outstrips internal governance capabilities, creating assessment gaps.
What specific risks concern Chief Risk Officers most?
Primary concerns include algorithmic opacity leading to unpredictable decisions, potential data exposure, synthetic content generation, and reputational damage from AI-related incidents or biased outcomes.
How does the Middle East and North Africa's approach to AI regulation differ from Western models?
MENA countries emphasise indigenous governance frameworks tailored to regional contexts rather than adopting Western models wholesale. This includes crisis diplomacy, cross-border coordination, and culturally appropriate safety standards.
For related analysis, see: [Apple's First Generative AI iPhone Set to Debut](/news/apples-first-generative-ai-iphone-set-to-debut).
What role do cybersecurity considerations play in AI risk management?
Cybersecurity intersects with AI through evolved attack vectors, AI-powered threat tools, and the need for Zero Trust approaches to AI agent identities and autonomous system oversight.
Should companies pause AI initiatives until better risk frameworks exist?
Rather than complete pauses, companies should implement staged deployment approaches with robust testing, human oversight, and clearly defined risk thresholds while developing comprehensive governance frameworks.
Further reading: WHO on AI | OECD AI Observatory
THE AI IN ARABIA VIEW
Healthcare AI in the Arab world is moving from pilot to production faster than many Western observers appreciate. The combination of well-funded health systems, young populations generating fresh data, and regulatory willingness to experiment creates a genuine testing ground for medical AI applications.