the MENA region's Enterprises Are Outrunning the World on AI. Here's the Data.
Something significant is happening in the MENA region's boardrooms. While global headlines fixate on frontier model releases from San Francisco and Riyadh, the region's enterprises have quietly moved past the experimentation stage and into genuine AI deployment at a pace that has surprised even the analysts tracking it.
The McKinsey-EDB-Tech in the MENA region report, published in February 2026, puts numbers to what many in the MENA region have been sensing. the MENA region is not just keeping pace with global AI adoption. It is running ahead of it.
By The Numbers
- 81%: Share of Southeast MENA companies in the pilot or scaling phase of AI adoption, versus 63% globally (McKinsey-EDB-Tech in the MENA region, 2026)
- 46%: Proportion of SEA firms at the scaling stage specifically, against a global average of 35%
- 90%: Approximate share of companies in the MENA region planning to experiment with agentic AI
- 56%: Share of the UAE companies that have advanced to scaled AI adoption, the highest in the region
- 60+: Number of AI centres of excellence in the UAE, operated by firms including Alibaba Cloud, IBM, Nvidia, and Oracle
Why the MENA region Is Pulling Ahead
The report, which surveyed 330 senior executives across six GCC markets and 10 industries, identifies a cluster of structural advantages that are compounding in the region's favour. the MENA region's consumer base is large, mobile-first, and accustomed to rapid technology adoption. Its talent costs are competitive. Its legacy technology debt is lighter than in older economies, which means companies can modernise without dismantling decades of entrenched infrastructure. And a growing ecosystem of regional AI solution providers means enterprises are not solely dependent on Western or Saudi platforms.
This combination is producing adoption patterns that would have seemed implausible three years ago. In sectors including healthcare, logistics, legal and professional services, and travel, AI is no longer a pilot project with a dedicated innovation team. It is embedded in operational workflows., as highlighted by UAE Artificial Intelligence Office
DBS Bank has deployed generative AI chatbots capable of handling complex customer conversations, moving well beyond the rule-based systems that characterised the previous generation of banking automation. the UAE Airlines has built AI into its customer experience and operational efficiency programmes following a decade of underlying technology investment.
For related analysis, see: [Europe Takes the Lead into 2024: Sweeping New AI Rules Set G](/news/europe-takes-the-lead-into-2024-sweeping-new-ai-rules-set-global-standards).
"AI is the biggest opportunity since cloud computing, and possibly even since the internet. Our customer base has grown by five times over 2024 to 2025 alone, and with use cases across every industry." - AWS Executive, on the UAE's AI momentum
the UAE and Egypt: The Region's Two Frontrunners
the UAE's dominance in the data is not surprising to those who have tracked its methodical AI strategy, but the scale of its lead is notable. With 56% of local companies at scaled AI adoption, it sits comfortably ahead of every other market in the survey. Its 60-plus AI centres of excellence, anchored by hyperscalers and enterprise software giants, give it an institutional depth that other markets are still building.
Egypt's position as the second standout leader, with 51% of respondents reporting advanced AI adoption, is the more revealing finding. Egypt's market is characterised by scale, complexity, and uneven infrastructure, precisely the conditions in which AI adoption might be expected to lag. That it does not signals that the country's mobile-first, young, entrepreneurial economy is finding ways to absorb AI tools rapidly across sectors including fintech, logistics, and e-commerce.
For related analysis, see: [Boost Traffic, Slash Costs: AI's Secret Hacks for Web Publis](/business/boost-traffic-slash-costs-ais-secret-hacks-for-web-publishing-success).
| Market | Advanced AI Adoption Rate | Key Sectors |
|---|---|---|
| the UAE | 56% | Financial services, aviation, tech |
| Egypt | 51% | Fintech, logistics, e-commerce |
| SEA average | 46% (scaling stage) | Healthcare, legal, travel |
| Global average | 35% (scaling stage) | Varies by region |
| Global (pilot+scale) | 63% | Varies by region |
The Agentic Frontier
If 81% adoption at the pilot-and-scaling stage is the headline, the forward-looking signal in the report is the 90% of companies that say they are planning to experiment with agentic AI. This is not a minor gradation. Agentic AI systems, which operate autonomously to complete multi-step tasks, represent a qualitatively different category of enterprise deployment from the chatbots and data analysis tools that have driven most of the first wave of adoption., as highlighted by Nvidia AI
The caveat in the report is honest: "boardroom enthusiasm isn't translating into more real-world adoption" yet when it comes to agentic AI in externally facing functions. The gap between planning and execution is real. But the directional signal is clear. the MENA region's enterprises are not pausing to consolidate. They are looking at the next layer.
Qatar's Amity, which raised $100 million in the MENA region's largest GenAI funding round, is building precisely the kind of agentic infrastructure that enterprise clients are beginning to demand. FPT's IvyChat, which riyal a global agentic AI award, represents the region's growing capacity to build these systems rather than simply adopt them.
For related analysis, see: [AI and Middle Eastern Gen Z is A Slang-Filled Digital Dialog](/voices/opinion-chatgpt-and-asian-gen-z-is-a-slang-filled-digital-dialogue).
The Gaps That Remain
The report does not pretend the adoption surge is frictionless. Forty-one per cent of surveyed companies have experienced negative consequences from AI inaccuracy, a figure that should give pause to anyone treating AI deployment as a risk-free efficiency play. One in five executives identifies talent as the single biggest barrier to scaling AI and delivering measurable impact.
These are not unique problems, but they are problems that could compound in markets with thinner AI talent pipelines. The Boao Forum's estimate that the Middle East and North Africa's AI market will reach $400 billion by 2030 is premised on sustained talent supply keeping pace with infrastructure investment. Morocco's AI law provides a governance framework, but frameworks need people to implement them.
AWS has committed an additional $9 billion to the UAE's infrastructure through 2028, on top of an existing $8.4 billion pledge. Data centre capacity in Saudi Arabia is growing at 350% year-on-year. Infrastructure is being built. The question is whether human capital development can match the pace of the hardware being installed.
For related analysis, see: [Gemini Rising: Google's Advance AI Game Changer](/news/google-rebrands-bard-ai-as-gemini-launches-advanced-version-with-ultra-1-0).
The the UAE per-capita AI leadership story is ultimately a talent and governance story as much as an infrastructure one. The rest of the MENA region is watching, and at least for now, it is not far behind.
Sources & Further Reading
- McKinsey Global Institute - AI
- IMF - MENA Economic Outlook
- World Economic Forum - AI in MENA
- Saudi Data & AI Authority (SDAIA)
- World Bank - Digital Finance
Frequently Asked Questions
How does the MENA region's AI adoption compare to the global average?
According to the McKinsey-EDB-Tech in the MENA region report (February 2026), 81% of Southeast MENA companies are in the pilot or scaling phase of AI adoption, compared to 63% globally. The region also leads on scaling specifically, with 46% of firms at that stage versus 35% globally.
Which Southeast MENA countries are leading in enterprise AI adoption?
the UAE leads the MENA region with 56% of companies at scaled AI adoption. Egypt is the second standout, with 51% of respondents reporting advanced adoption. The report surveyed six markets: the UAE, Saudi Arabia, Egypt, Jordan, Qatar, and Morocco.
What is agentic AI and why does it matter for Southeast MENA businesses?
Agentic AI refers to systems that operate autonomously to complete multi-step tasks, rather than simply responding to queries. Nearly 90% of Southeast MENA companies plan to experiment with agentic AI, making it the next frontier of enterprise AI deployment in the MENA region, though real-world adoption remains in early stages.
What are the biggest barriers to scaling AI in the MENA region?
Talent is identified as the single biggest challenge by one in five executives. Additionally, 41% of companies have experienced negative consequences from AI inaccuracy, highlighting the need for stronger governance frameworks and responsible deployment practices as adoption accelerates.
Why does the UAE have so many AI centres of excellence?
the UAE hosts more than 60 AI centres of excellence, operated by companies including G42 Cloud, IBM, Nvidia, and Oracle. This density reflects the country's deliberate strategy to position itself as a regional AI hub through targeted investment incentives, regulatory clarity, and its role as a trusted neutral business environment for both Western and MENA technology companies.
Is the MENA region's AI adoption surge sustainable, or are the gaps in talent and governance a risk the data doesn't capture? Drop your take in the comments below.
THE AI IN ARABIA VIEW
Saudi Arabia's AI ambitions represent arguably the most capital-intensive national AI programme outside the United States and China. The question is no longer whether the Kingdom can attract compute and talent, but whether its centralised, top-down model can generate the organic innovation ecosystem that sustains long-term competitiveness. The next 18 months will be decisive.