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23 Feb 2026
7 minute read

How Middle East banks can deliver AI at scale

Accelerating AI transformation in Middle East banking

Discover how AI transformation is reshaping Middle East banking by 2030, unlocking new opportunities in risk management, customer experience, and operational efficiency. Explore key challenges such as talent shortages, data quality, regulatory uncertainty, and cultural resistance, and learn how banks can scale AI initiatives for lasting impact.

Banking in the Middle East
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By 2030, AI adoption in Middle East banking could boost the region’s GDP by up to 13.6%, according to the World Economic Forum. AI and Generative AI (GenAI) offer banks opportunities to improve risk management, workforce productivity, customer experience, compliance, and operational efficiency. The potential includes sharper risk models, hyper-personalised products, and new revenue streams.

While the momentum is real, many banking sector AI projects remain stuck in the proof-of-concept stage. Several structural barriers explain why.
Talent shortages

Lack of skilled data scientists, AI engineers, and business leaders slows implementation

Fragile data foundations

Poor data quality, siloed systems, and legacy architectures limit AI effectiveness.

Regulatory uncertainty

Absence of harmonised AI regulations in the Middle East creates compliance challenges.

Unclear business value

Difficulty in measuring AI returns weakens the case for broader investment.

Cultural resistance

Employee fears about job changes and lack of clear leadership communication impede adoption.

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Get in touch

Ravi Ranjan

Ravi Ranjan

Partner | AI & Data
+971 4 376 8888
Muzammil Ebrahim

Muzammil Ebrahim

Partner | AI & Data
+971 (0) 4 376 8888
Francesco Sarti

Francesco Sarti

Partner | Operation, Industry & Domain Solutions
+971 (0) 55 905 8835
Rachel Salamani

Rachel Salamani

Director | Engineering AI & Data
+971 (0) 50 267 7050

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