As the revolution of artificial intelligence (AI) transforms the financial sector with its integration into accounting and advisory roles, concerns have risen regarding the future of financial advisors. A pressing question emerges: will AI agents replace these advisors, and what does the future hold for the financial industry?
Mahmoud Ismail, leader of the acquisition and operations team for the Middle East and Africa at “Adyen,” emphasized in an interview that AI agents will not completely replace financial advisors. He affirmed that the future lies in a hybrid model of “humans and machines,” where human expertise merges with digital technologies.
Regarding the potential for AI agents to take over the roles of financial advisors, Ismail noted that AI systems excel in managing large data sets and routine tasks, such as checking balances, scheduling payments, and providing basic investment recommendations. However, he pointed out that clients will continue to require human expertise for complex financial planning and situations demanding empathy and cultural understanding, which are highly valuable in the banking relationships within the UAE.
He adds that their data shows a client preference for a model that integrates technology with human advisors, asserting that the most successful banking institutions will be those that utilize AI to enhance the capabilities of their advisors, allowing them to focus on building strong client relationships and delivering greater value. He concluded that the issue is not “humans versus machines,” but rather “humans with machines,” a strategy that gives businesses a competitive edge and fosters sustainable relationships.
Management of Daily Payments
On the potential for AI agents to handle the daily payment management for clients in the UAE, Ismail predicts significant advancements within the next two to three years, followed by more sophisticated capabilities. He referenced a Salesforce study indicating that 80% of organizations in the UAE plan to utilize AI agents by 2027, compared to just 32% currently.
He noted that current AI systems can detect fraud, analyze spending patterns, and anticipate cash flow needs, with the next phase being the automation of these systems to operate on behalf of clients—such as canceling unused subscriptions or selecting the best payment methods for rewards.
Ismail highlighted that the UAE is well-positioned for this shift due to a high smartphone penetration rate (around 97% in 2024), widespread adoption of digital payments, and strong governmental support for AI initiatives.
Building Trust and Regulatory Frameworks
When discussing the regulations and controls necessary to build trust in the use of AI agents in sensitive areas such as financial advisement, the head of “Adyen” stated that trust is foundational, citing three integrated levels of protection:
1. Transparency: Clients must be aware of the services provided by AI, the data being used, and the decision-making processes involved.
2. Accountability: Clear accountability structures should be established, including insurance and compensation programs in case the system recommends a financially detrimental decision. To this end, “Adyen” is collaborating with other partners to develop a payment protocol via agents to cement security and trust.
3. Oversight and Regulation: There is a need for standards regarding data governance to ensure algorithm fairness and mitigate bias. He praised the proactive measures taken by the Central Bank of the UAE in releasing guidelines on AI use in the financial sector, emphasizing the importance of human oversight, especially in critical financial decisions.
Customization and Privacy Preservation
In discussing the delivery of high levels of customization by AI agents while safeguarding client data privacy, Ismail indicated that the solution lies in “customization while preserving privacy.” He noted that older models of central data collection and storage are no longer viable.
He revealed a trend towards advanced technologies such as “Federated Learning,” in which AI models learn without accessing or storing personal data. He also discussed “Differential Privacy,” which introduces calculated randomness into data to maintain general patterns while preventing the identification of data owners. Additionally, there is an increasing focus on processing data on clients’ devices rather than in the cloud.
He concluded that privacy-conscious technologies often lead to enhanced levels of customization. A growing client confidence in data protection will likely result in a greater openness to AI services, thereby creating more precise and beneficial experiences.
When asked if the UAE possesses the necessary regulatory frameworks to lead the adoption of AI agents in the payments sector, Ismail confirmed that the UAE holds a strong and unique position, making it one of the most prepared global markets for such systems.
He mentioned that the country’s regulatory approach is among the most advanced and innovative worldwide, as evidenced by the “UAE AI Strategy” and the establishment of a specialized ministry, alongside comprehensive regulations set by the Central Bank. He praised the sandbox initiatives launched by the Central Bank in collaboration with the Abu Dhabi Global Market and the Dubai International Financial Centre, which allow businesses to test AI solutions in controlled environments, ensuring that regulatory frameworks evolve in parallel with technology.