The AFAC 2026 Financial Intelligence Innovation Competition reached a successful conclusion, with 24 teams emerging victorious from the Challenge Group and 6 from the Startup Group, selected from a pool of 5,027 participating teams. This year, the competition introduced a dual-track system, encompassing both Challenge and Startup Groups, and implemented enhancements across several key areas. It forged a holistic ecological platform by integrating "conferences, exhibitions, and competitions" into a unified format.

During the "conference" portion, experts from diverse fields explored the evolving trends in AI large models. They observed that these models' capabilities are continually advancing, with agent technology propelling AI's transformation from mere "verbal proficiency" to "actionable intelligence." Nevertheless, AI still grapples with challenges like data processing inefficiencies and hallucinations in real-world financial applications. Participants proposed tailored solutions and deliberated on AI's economic implications and policy orientations.

In the "competition" segment, projects in the Startup Group placed a greater emphasis on practical applications and commercial viability. The judging panel prioritized factors such as technological innovation and commercialization potential. Projects that addressed real-world problems, generated revenue streams, and incorporated cutting-edge AI infrastructure were particularly favored. The judging process revealed both areas of agreement and divergence.

The "exhibition" area served as a hub for various stakeholders, facilitating exchanges and collaborations. This underscored the pressing demand for multifaceted talent in the AI finance domain. Industry insiders highlighted the current scarcity of such talent and emphasized the need for training programs that focus on strengthening foundational skills and judgment.

The competition offered substantial resource support to outstanding projects and talent, fostering their rapid growth and development.