Introduction

The United Arab Emirates is reaching a turning point in financial services. Artificial intelligence is no longer a side project for the country's biggest banks; it is becoming central to how they serve customers, manage risk, and defend against digital threats. Recent discussions at the Dubai FinTech Summit 2026 showed that lenders are moving quickly from pilot programs to full-scale deployment.

What Happened

Emirates NBD, Dubai's largest lender by assets, disclosed that it has more than 150 artificial intelligence initiatives in progress, with 65 already live in production environments. The state-majority-owned bank is directing roughly half of its technology spending toward AI. In June, it earned the top spot in the Evident AI Index for Banks covering the Middle East and Africa, a ranking that evaluated more than 100 financial firms, insurers, and payment processors.

The bank also became the first in the MENA region to run OpenAI's GPT models on local infrastructure inside the UAE. This setup lets it use advanced language models while complying with national data residency and privacy rules. Emirates NBD plans to apply these models to customer experience, financial crime prevention, risk management, process automation, and employee productivity.

Miguel Rio-Tinto, the bank's Group Chief Digital and Information Officer, said banking will change more in the next five years than it did in the previous three decades. He pointed to cybersecurity as the area facing the biggest shift. The volume of critical software vulnerabilities the bank must review has climbed from roughly 1,000 per month in early 2025 to about 15,000 in the most recent month. Emirates NBD is now using a frontier OpenAI model to probe its own systems for weaknesses.

Meanwhile, Commercial Bank of Dubai announced partnerships with Microsoft, Silent Eight, Comarch AI Wealth, Zamp, Harvey, Sirion, and Flank. These arrangements are intended to support AI adoption, compliance, risk management, digital wealth, intelligent automation, and legal governance. Thomas Cherian, the bank's chief technology and services officer, said the focus is shifting toward agentic AI—systems that can make decisions and carry out tasks with limited human input. He estimates such agents could manage 55 to 60 percent of operational work, with people still approving final outcomes.

Why This Matters

The stakes extend beyond individual banks. The UAE government has set a national goal to move half of federal operations and services to agentic AI by 2028, and Dubai has launched a two-year plan to speed private-sector adoption. For financial institutions, this creates both competitive pressure and a clear policy direction.

Cybersecurity adds urgency. Daily attempted cyberattacks in the UAE reportedly climbed from roughly 200,000 to as high as 700,000 during heightened regional tensions. In July, authorities stopped a series of advanced attacks aimed at the financial sector. The UAE's Cyber Security Council has warned that criminals are using AI to build more sophisticated threats, meaning banks must fight AI-powered attacks with AI-powered defenses.

Key Takeaways

  • Emirates NBD has more than 150 AI initiatives underway, with 65 already in production.
  • The bank dedicates about half of its technology budget to artificial intelligence.
  • It is the first MENA bank to deploy OpenAI's GPT models using local UAE infrastructure.
  • Critical security flaws reviewed by Emirates NBD jumped from roughly 1,000 monthly to around 15,000.
  • Commercial Bank of Dubai is pursuing agentic AI that could handle more than half of operational tasks.
  • The UAE aims to shift half of federal government services to agentic AI by 2028.

Conclusion

Dubai's banking sector is entering a new era where artificial intelligence underpins everything from front-office service to back-office security. With major lenders committing significant resources and the government setting aggressive national targets, the UAE's financial industry appears positioned for deep and lasting change. Banks that successfully integrate generative and agentic AI while meeting strict regulatory requirements are likely to shape the region's competitive landscape for years to come.