How AI Large Models are Transforming Industries: Trends, Challenges, and Opportunities
This report, jointly authored by Qianzhan Industry Research Institute, Shougang Fund CANPLUS, and Huawei Cloud, examines AI large‑model applications across four dimensions—overview, current status with case studies, pain points and solutions, and future trends—highlighting how these models boost production efficiency, balance cost, privacy, and performance, and elevate data’s role in industry.
This report, co‑authored by Qianzhan Industry Research Institute, Shougang Fund CANPLUS, and Huawei Cloud, explains the AI large‑model industry from four aspects: application overview, current status and cases, pain points and solutions, and future trends and opportunities.
Currently, AI large‑model companies mainly provide AI model application services through two approaches—deepening general model capabilities and building industry‑specific vertical models—aiming to balance cost, privacy/security, and model performance while ensuring practical deployment. Industry applications of AI large models can significantly improve the output efficiency of production factors and elevate the role of data within factor combinations.
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