AI at the top end — how Saudi Arabia’s financial sector is redefining premium services

AI reshapes premium banking in Saudi Arabia as market set to surge to $102.8bn by 2033

Artificial intelligence is rapidly transforming Saudi Arabia’s financial services sector, enabling more personalized client experiences, boosting operational efficiency and widening access to wealth management and banking services. The Kingdom’s AI market is projected to grow from $9.3 billion in 2025 to $102.8 billion by 2033, according to Grand View Research, a shift driven by investments in digital transformation and financial innovation aligned with Vision 2030.

“AI will be a once in a lifetime chance for innovative players to gain market share, fast,” said Jad Zerouali, senior partner at Bain & Co. and head of the firm’s financial services practice in the Middle East. “Local banks, if they seize the transformation opportunity soon enough, will have the ability to compete more effectively with larger international banks with more installed infrastructure and history.”

As Zerouali emphasises, AI is becoming a strategic priority across the sector. He points to specific capability gains tied to wealth management and capital markets: AI-driven underwriting can improve the commercial viability of SME and underserved segment financing; intelligent capital-markets tools can deepen institutional participation; and always-on advisory can democratize wealth management beyond traditional high-net-worth clients. Global benchmarks referenced by industry consultants suggest productivity gains of up to 50 percent and efficiency improvements of up to 20 percent for institutions integrating AI across their operating models.

• Organisational hurdles: Fadi Hariz, partner at Bain & Co., warns that the largest barriers are non-technical — resistance to change, misaligned incentives and fragmented governance. He stresses that “data architecture and governance” must be treated as a core AI capability rather than a compliance checkbox, and that explainability is essential in areas such as wealth management and credit decisions where trust and regulation are most intense.
• Human + AI approach: Carlton Liew, chief business officer and co‑founder of Dyna.Ai, argues the most effective deployments combine human judgment with AI operating in real time. “The strongest models combine human judgment with AI that works in real time in the background, and in Arabic first,” Liew said, outlining use cases such as voice AI, real-time adviser support and 24/7 intelligent customer service.
• Agentic AI and unified platforms: Liew highlights agentic AI — copilots, conversational agents and automated workflows — as the biggest near-term driver of value. He notes the compounding benefit when disparate solutions (voice, agents, QA, fraud detection) are unified into a single platform that delivers measurable outcomes for relationship managers and revenue generation.
• Measurement shift: Both Liew and Bain partners recommend moving from pilot-centric approaches to Results-as-a-Service models that measure AI by business outcomes, creating clearer accountability for vendors and faster confidence for bank executives.

Outlook: Industry leaders expect a contested but opportunity-rich period ahead. Banks that embed agentic, Arabic‑first AI into end‑to‑end workflows and prioritise data governance, explainability and outcome-based metrics are most likely to capture market share. Regulators will also play a critical role; Hariz says they must work “hand in hand” with institutions to enable controlled innovation while safeguarding customers and systemic stability. If that alignment occurs, Saudi financial institutions could convert early AI investments into sustained competitive advantage and help reshape premium services across the region.