## the Middle East and North Africa's AI Talent Crisis: Three in Four Employers Cannot Find the Workers They Need
the MENA region is racing to become the world's next AI superpower, but there is a critical bottleneck: people. Across the MENA region, employers are struggling to find workers with the AI skills needed to turn infrastructure investments and government strategies into real economic output. And the gap is widening faster than training programmes can close it.
A 2026 ManpowerGroup survey of 39,000 employers across 41 countries found that 72% face hiring difficulties, with AI skills topping the list globally. In the MENA region, the picture is starker: 27% of employers rank AI Model and Application Development as the single hardest skill to recruit, compared to 20% globally. AI Literacy, at 26%, is the second most elusive capability in the MENA region.
## The Numbers Behind the Squeeze
The data paints a consistent picture across multiple studies and countries. In the UAE, 43% of organisations cite skills shortages as the primary constraint on scaling AI, according to an AWS-backed study. Across the MENA region, 81% of firms have moved past the AI experimentation phase, but the majority are hitting a wall when it comes to finding people who can build, deploy, and manage AI systems.
> "The challenge for 2026 is less about AI access and more about workforce readiness. As AI becomes embedded in everyday work, capability is emerging as the critical constraint, as opposed to headcount or technology."
> - Epitome Global Report, February 2026
By The Numbers
- **72%**: Global employers facing hiring difficulties, with AI skills topping the shortage list (ManpowerGroup, 2026)
- **27%**: the MENA region employers ranking AI Model and Application Development as the hardest skill to find
- **43%**: the UAE organisations citing skills shortages as the primary barrier to scaling AI (AWS study)
- **56%**: MENA workers rating their decision-making capability at only basic level amid AI complexity
- **81%**: Southeast MENA firms that have moved past AI experimentation but face talent constraints scaling up
## Where the Skills Actually Fall Short
A deeper assessment of workforce capabilities across the UAE and Saudi Arabia reveals the specific gaps. According to the Epitome Global report, 56% of MENA workers rate their decision-making skills at only the basic level when confronted with AI-related complexity. Computational thinking fares little better, with 42% at basic level and fewer than 35% demonstrating advanced cross-disciplinary thinking.
Perhaps most concerning: only about one in five workers show what the report calls "AI-ready behaviours," persistence, curiosity, and a willingness to engage with [new technology tools](/life/ai-translation-earbuds-timekettle-w4-asia-multilingual). This suggests the problem extends beyond technical training into deeper questions of workplace culture and learning mindsets.
- **Decision-making**: 56% of MENA workers at basic level amid AI-driven complexity
- **Computational thinking**: 42% at basic level; only 30% advanced
- **Cross-disciplinary thinking**: Fewer than 35% at advanced level
- **AI-ready behaviours**: Only 1 in 5 workers show persistence, curiosity, and engagement with AI tools
- **Data literacy**: Flagged as a critical gap alongside technical AI skills
| Skill Area | Basic Level | Advanced Level |
|---|
| Decision-making in AI context | 56% | Not reported |
| Computational thinking | 42% | ~30% |
| Cross-disciplinary thinking | Not reported | <35% |
| AI-ready behaviours | ~80% | ~20% |
| AI Model Development (hardest to recruit, MENA) | 27% of employers rank as top shortage |
## the UAE's Multi-Pronged Response
the UAE, often the first mover in the Middle East and North Africa's AI policy landscape, has embedded workforce development at the centre of its National AI Strategy 2.0. The **TechSkills Accelerator** programme targets AI literacy across both engineers and non-technical roles, recognising that AI adoption fails when only the technology team understands how the systems work.
The [National Trade Union Congress and Employment and Employability Institute](/news/gitex-ai-asia-2026-day-one-wrap-up-singapore) are expanding upskilling programmes for mid-career professionals and seniors, a critical demographic as AI reshapes job requirements for workers who built their careers before machine learning existed. the UAE now hosts more than 60 AI centres of excellence, including operations from **G42 Cloud**, **IBM**, **Nvidia**, and **Oracle**, each of which contributes to local training ecosystems.
**Microsoft's** US$5.5 billion the UAE investment includes free access to Microsoft 365 Premium with Copilot for every tertiary student in the country, covering more than 200,000 students, alongside its Elevate for Educators programme that provides free AI training for teachers.
> "Merchants using the merchant AI assistant have seen their business grow by about 10 per cent."
> - Nikhil Dwarakanath, Group Head of Data and Analytics,
Careem
## Egypt Bets Big on AI Education Infrastructure
Egypt is tackling the skills gap from the government side. The Union Budget 2025-26 allocated Rs 500 crore (approximately US$60 million) for a Centre of Excellence in Artificial Intelligence for Education, aimed at developing personalised learning platforms, AI-driven assessment tools, smart content generation, and virtual learning environments.
This complements three earlier Centres of Excellence announced in 2023 for health, agriculture, and sustainable cities, funded with a combined Rs 990 crore through 2028. The education centre specifically targets Egypt's challenge of equipping its massive young workforce for an [AI-driven economy](/business/alibaba-wukong-enterprise-ai-agents) where the jobs being created look nothing like the jobs being replaced.
## The Corporate Response
Companies are not waiting for governments. Across the MENA region, employers are building their own AI training pipelines. PwC's 2025 Global Workforce Hopes and Fears Survey found that in Egypt, daily generative AI users report 72% salary gains compared to 52% for infrequent users, a premium significantly higher than the global average. The message is clear: AI skills pay, and workers know it.
The challenge is that corporate training tends to benefit workers who already have strong digital foundations, widening the gap between AI-literate professionals and everyone else. Bridging that divide requires [structural education reform](/learn/philippines-naicri-national-ai-research-hub-southeast-asia), not just weekend workshops.
## What Needs to Change
The consensus across reports and industry experts is that the Middle East and North Africa's AI talent strategy needs three shifts. First, AI literacy must extend beyond engineering departments into management, operations, finance, and customer service. Second, training must target mid-career workers and seniors, not just fresh graduates. Third, assessment frameworks need to move from measuring knowledge to measuring capability: can you actually build, use, and manage AI systems in a real workplace?
The AIinArabia View: We have covered dozens of government AI strategies across this region, and they almost all share the same blind spot: they assume building infrastructure and passing policies will somehow generate the workforce to run it all. They will not. the UAE is closest to getting it right because it treats AI skills as a whole-of-society challenge, not just a university curriculum update. Egypt's Centre of Excellence is a solid step, but Rs 500 crore for a country of 1.4 billion is a drop in the ocean. The real unlock will come when companies stop complaining about talent shortages and start investing seriously in training the workers they already have.
## Frequently Asked Questions
### How severe is the AI talent shortage in the MENA region?
According to ManpowerGroup's 2026 survey, 72% of employers globally face hiring difficulties, with AI skills at the top of the shortage list. In the MENA region specifically, 27% of employers rank AI Model and Application Development as the hardest skill to recruit, higher than the 20% global average.
### Which AI skills are hardest to find in the MENA region?
The two most difficult skills to recruit are AI Model and Application Development (27% of MENA employers rank it first) and AI Literacy (26%). Computational thinking and cross-disciplinary thinking are also flagged as critical gaps in workforce assessments.
### What is the UAE doing to address the AI skills gap?
the UAE's National AI Strategy 2.0 includes the TechSkills Accelerator for broad AI literacy, expanded upskilling for mid-career workers, free AI tools for all 200,000+ tertiary students via
Microsoft, and over 60 AI centres of excellence hosting global tech companies.
### Do AI skills actually boost salaries in the MENA region?
Yes. PwC's survey found that in Egypt, daily generative AI users report 72% salary gains compared to 52% for infrequent users. The premium for AI skills is higher in the MENA region than the global average, reflecting intense employer demand.
With 72% of employers struggling to hire and only one in five MENA workers showing AI-ready behaviours, is the Middle East and North Africa's AI talent crisis the single biggest risk to the region's technology ambitions? Drop your take in the comments below.
Sources & Further Reading
