During the 2026 interim results conference held on August 28, ICBC's Deputy President Zhao Guide outlined the bank's evolving approach to financial technology and artificial intelligence applications, emphasizing three key dimensions.

Advanced technology platform forms the foundation - Industrial And Commercial Bank Of China Limited recognizes the transformative trends of digitalization, networking, and intelligent development. Actively participating in the national "AI+" initiative, the bank is upgrading its digital framework from "Digital ICBC D-ICBC" to an intelligent version branded "AI-ICBC". This strategic shift centers on building a sophisticated "1+1+3" digital intelligence architecture, designed to drive continuous technological innovation, reshape operational models, and enhance overall quality and efficiency, thereby injecting robust momentum into the bank's high-quality development trajectory.

Business innovation and application serve as the critical driver - The bank maintains a steadfast focus on practical application and value creation. Its overall AI technology deployment remains at the forefront of the industry, with over 600 large model scenarios already implemented. These advancements enable more precise support for the real economy, more efficient management operations, and more proactive risk prevention measures across the institution.

Talent development ensures long-term sustainability - Recognizing that skilled professionals are the cornerstone of digital transformation, ICBC is intensifying its innovation-driven approach by prioritizing talent cultivation. The bank is fostering deeper integration between business operations, technology, and data management, aiming to cultivate a financial technology and data management workforce that is appropriately sized, well-structured, and highly competent. In terms of scale, the bank plans to steadily grow its talent pool to match business development needs. Structurally, it will keep pace with technology trends by expanding talent pipelines in critical areas such as artificial intelligence, data science, and cybersecurity, while intensifying efforts to develop interdisciplinary professionals with combined expertise in business, technology, and data. Tailored strategies will be implemented to ensure optimal alignment between individual capabilities and job requirements.