// INDUSTRY INSIGHT //
predictive maintenance, route optimisation, fraud detection and citizen service copilots are already generating tangible value in energy, logistics, aviation, finance and government services.
Challenges to AI adoption
Despite rapid progress, AI adoption in the Middle East faces notable challenges. Many organisations struggle with fragmented or inconsistent data, limiting the effectiveness of AI systems that rely on large, high-quality datasets. Additionally, concerns around transparency, bias, privacy and accountability require robust frameworks to ensure responsible AI deployment. Integrating AI into existing workflows and operating models also demands adjustments in employee roles, which can lead to resistance and slow implementation.
Opportunities across sectors
AI isn’ t just for tech giants. It’ s affecting sectors we interact with every day, as we speak:
• Government services: AI is helping citizens access services faster, reducing paperwork and improving response times. Imagine interacting with an AI assistant that understands exactly what you need
• Energy and utilities: Predictive tools are preventing breakdowns and making energy systems more efficient, which ultimately benefits all of us
• Finance: AI is being deployed to detect fraud, speed up loan approvals and even provide personalised banking advice
• Logistics: Smarter scheduling, route planning and demand forecasting is making deliveries faster
• Healthcare: AI assistants and imaging tools are helping doctors work more efficiently which in turn results in faster patient care
• Tourism and creative industries: AIgenerated content, itineraries and multilingual assistants are enhancing experiences for visitors and tourists in the region
The road ahead for AI in the Middle East is full of possibilities, but it’ s also about smart,
36 Intelligent SME. tech