The future of banking is being profoundly reshaped by artificial intelligence, a central theme at Mobile World Congress 2026 in Barcelona, where Huawei's Digital Finance division highlighted the next wave of industry transformation. During its "Powering Resilient Intelligence, Co-creating Finance Future" session, Huawei gathered financial institutions and technology partners to discuss the foundational shift occurring as AI moves beyond digital optimization to influence every level of banking operations. This pivotal discussion also marked the introduction of significant upgrades to Huawei's Banking AI and Foundation Model Solutions, designed to empower this next phase of intelligent finance.

Alvin Feng, President of International Financial Business at Huawei’s Digital Finance division, delivered a keynote address emphasizing AI's burgeoning role in banking. He noted that while the past two decades focused on digital optimization through online and mobile services, artificial intelligence now heralds a deeper transformation. According to Feng, AI is rapidly becoming the defining force globally, influencing everything from enhanced customer engagement and sophisticated risk management to internal decision-making processes. This marks another significant technological transition for the banking sector, moving beyond the automation of back-office processes, the advent of internet banking, and the ubiquity of mobile financial services.

The adoption of AI is prompting banks to fundamentally reconsider service delivery and internal workflows. Customer interactions, for instance, are evolving from menu-driven interfaces to conversational systems that interpret natural language, offering a more intuitive user experience. Personalization, previously limited to high-value clients, is now scalable across broader customer segments, as AI systems analyze vast datasets to deliver tailored insights and recommendations. Internally, AI agents are augmenting human staff, assisting with tasks like reviewing applications, analyzing documents, and identifying unusual transaction activity. Alvin Feng described this shift as extending across customer interactions, human-machine collaboration, decision-making approaches, system architecture, and overall customer experience.

A recurring discussion at the session was the strategic evolution of technology within banking. Historically viewed as mere infrastructure, technology, especially AI, is now recognized as a value center critical for growth and competitiveness. Huawei's "Intelligent Finance Value Implementer" framework, developed from its work with global banks, aims to bridge the gap between business goals and technology execution. This model assists financial institutions in identifying impactful AI scenarios, designing appropriate enterprise architectures, and deploying intelligent systems that align with long-term strategic priorities. Focus areas typically include customer experience, risk control, and operational efficiency, providing immediate impact before expanding AI capabilities across other services and departments.

Several real-world applications demonstrate AI's current impact. In document processing for credit card applications, AI-assisted systems have reduced review times from twenty minutes to roughly twenty seconds, maintaining over 95% optical character recognition accuracy. Conversational services, powered by natural language interfaces and specialized AI agents, enable customers to perform tasks like checking balances or exploring investments, with systems continuously adapting to individual user behavior. Furthermore, in small and medium enterprise (SME) lending, AI tools are simulating roles for relationship managers, operations teams, and risk analysts, streamlining the evaluation process while retaining essential human oversight. Alvin Feng stressed that the key to AI banking lies in systems engineering to unify AI infrastructure with open ecosystems and reengineer banking processes through human and AI collaboration.

To support these demanding AI workloads, financial institutions require robust technical foundations that meet strict reliability, security, and performance standards. Huawei addressed this by introducing upgrades to its infrastructure, including the SuperPoD computing platform, an AI data platform, and the Xinghe AI network architecture. These systems are designed to provide the necessary computing capacity and connectivity for advanced AI-powered financial applications. Engineering optimizations have also significantly shortened AI agent development cycles from months to weeks, simultaneously improving prompt accuracy and reducing end-to-end processing latency, crucial for integrating new technologies with established core banking systems.

Recognizing that no single provider can manage the complexity of financial services alone, Huawei underscored the importance of collaboration through its RongHai partner program. This initiative fosters an ecosystem of over 150 solution partners and 11,000 consulting, sales, and service partners worldwide, facilitating joint development of tailored solutions that address specific regulatory environments and leverage collective expertise. As Huawei's digital finance business continues to support thousands of institutions across eighty countries, the MWC session affirmed that the industry is at a pivotal juncture. AI is increasingly permeating areas traditionally handled by human teams, unlocking new efficiencies in customer service, risk management, and operational effectiveness, heralding a truly intelligent future for finance.