Wang Chenhui, Managing Partner and President of Frost & Sullivan China, was invited to attend the 2026 Yunqi Conference and deliver a keynote speech

When discussing the goals of university talent cultivation, Wang Chenhui said that students must first have professional understanding, be able to understand industry contexts, business constraints, and evaluation standards; secondly, they must be able to define problems, clarify task objectives, boundaries, and constraints; and most importantly, they must be able to verify results, determine whether AI outputs are reliable, explain their judgments, and be responsible for final outcomes. AI can improve efficiency in information collection, content organization, and plan drafting, but improved learning efficiency cannot replace the cultivation of subjectivity. Independent thinking and professional judgment remain the core of talent development.

Wang Chenhui believes that university AI education should not stay at the level of individual courses or tool introduction, but need to form a systematic supply composed of courses and teaching, faculty capabilities, technology platforms, practical projects, ability evaluation, governance standards, and collaborative ecosystem. Industry-education collaboration should also progress from providing single resources to joint course development, practical cultivation, ability evaluation, and organizational construction, allowing students to understand needs, verify plans, and complete professional transfer in real tasks, promoting university AI education from resource introduction to ability cultivation.

Regarding the phenomenon that college students use AI increasingly but lack systematic learning, Wang Chenhui said that the current key weaknesses of students are not just tool operation, but the ability to judge, verify, and collaborate deeply. Universities need to include task decomposition, questioning, evidence verification, result comparison, and process review in teaching and evaluation, guiding students from "using tools" to "solving problems," and continuously transferring and improving human-machine collaboration skills in new professional scenarios. He further stated that evaluating the effectiveness of AI education should not only focus on faster task completion or more proficient tool use, but also on whether students can better define problems, identify errors, and be responsible for results.

At the event, the University AI Talent Development Lighthouse Program was officially released. Launched jointly by Frost & Sullivan, Alibaba Cloud, and LeadLeo Research Institute, this program will rely on the continuously updated "2026 China University AI Talent Development and Industry-Education Collaboration Tracking Report" to observe changes in university AI education supply and industry-education collaboration. At the same time, using two assessment systems—generative AI cognition and application benchmarks, and students' AI application capabilities—the program will dynamically track talent ability development, and combine with the "AI+Scenario" joint training project to provide more targeted ability cultivation plans for students. The release of the Lighthouse Program will further focus on the development and changes in Chinese youth's AI literacy, providing continuous observation and practical support for talent growth in the AI era.

At the event, Li Bei, General Manager of Alibaba Cloud Intelligent Group's University Cooperation, presented the "Cloud Engineering Open Science Gold Partner Award" to LeadLeo Research Institute. Wang Xiaojing, Senior Partner and Managing Director of Frost & Sullivan China, represented the award recipient. "Cloud Engineering Open Science" is a university cloud support program initiated by Alibaba Cloud, aiming to assist university talent cultivation and scientific research innovation through cloud computing and AI technology.

Additionally, at the "Qianwen AI Platform Evolution: A New Service Approach for Agents" forum, Kong Linlin, Head of the Qianwen AI Platform website for Alibaba ATH Business Unit - MaaS, officially launched Qianwen AI Arena. This platform is designed for AI agents, continuously generating challenge tasks from real business scenarios, providing developers with models, operating environments, and evaluation capabilities, and collecting and verifying agent solutions capable of solving real problems. The second-phase task was proposed by Frost & Sullivan, focusing on the "Consumer Decision Assistant Agent," requiring the integration of product information and reviews to provide personalized recommendation solutions. Participating in Qianwen AI Arena is Frost & Sullivan's exploration of combining industry research capabilities with AI agent evaluation practices, and provides a capability testing platform for university students and developers facing real industrial scenarios.

As a global growth consulting firm, Frost & Sullivan has long been committed to industry research, market insights, corporate growth, and capital market value discovery. For the AI era, Frost & Sullivan will continue to pay attention to deep changes in knowledge production, industrial upgrading, and talent development. Relying on its global research network and practical experience in the Chinese market, it will help enterprises, universities, and industrial ecosystems build a more credible, open, and future-oriented knowledge system.