What Zhejiang’s AI Experts Revealed About the Future of Intelligent Industries

Yesterday the author attended the 2025 Zhejiang Province “AI+” action theme event at a five‑star hotel, hosted by Zhejiang TV chief anchor and presenter Xie Wen, with opening remarks from Zhejiang Science and Technology Association and Zhejiang Broadcasting Group leaders.

Academician Zhu Weiqiu personally awarded certificates to the newly formed Zhejiang AI expert committee, noting that the first batch includes 150 members with deep expertise and strong practical ability, ranging from university scholars to frontline technical experts and security specialists.

In his speech Zhu outlined three hopes: first, become leaders of technological innovation by staying sensitive to frontier technologies such as large models, intelligent hardware, and control software, turning research papers into market‑ready solutions for Zhejiang’s AI manufacturing hub; second, act as promoters of industry integration , stressing that AI must be coupled with real‑world sectors, giving examples like intelligent content production in broadcasting electronics and autonomous factories in manufacturing; third, serve as disseminators of knowledge , urging experts to use popular talks and training to translate complex AI concepts into accessible cases, thereby raising AI literacy across the population.

Other keynote speakers included foreign academician Dong Qinshi of the Chinese Academy of Engineering, Chen Xiqun, director of Zhejiang University’s Intelligent Transportation Institute, and Ye Xiaolong, deputy director of China Mobile Zhejiang Innovation Research Institute, each delivering thematic reports.

Volcano Engine’s Role in Industrial Digital‑Intelligence Upgrade

The senior director of Volcano Engine’s industrial solutions presented on the “Doubao” large model, data flywheel, and AI cloud‑native architecture, emphasizing the need to overcome model defects, the transition from a good model to a good application, and the critical role of high‑quality data for AI services.

He also warned about common pitfalls when deploying AI in enterprises and described the three‑stage AI adoption journey that companies typically experience.

Roundtable: "AI+" Dialogue Highlights

AI applications have shifted from peripheral experiments to core business scenarios, driving a surge in demand for multi‑agent collaboration to accomplish complex tasks and enable autonomous services.

Generated AI content must be audited to prevent biased outputs from influencing decisions.

In education, strict data‑privacy controls are required to protect student information and avoid infringement.

Employee concerns about replacement create cultural friction; training and role optimization are needed rather than blunt headcount cuts.

2025 is seen as a pivotal year for standardizing intelligent agents, with large models moving from “knowing how” to “directly executing” and spawning super‑applications.

Experts predict that up to 90% of traditional jobs could be reshaped, urging humans to rethink career paths while leveraging AI to unleash creativity and improve quality of life.

Evening Session: Netbank AI Exchange

After the daytime conference, the author was invited to share AI business‑application best‑practice cases with colleagues at Netbank, attracting a large onsite audience and several online participants, and receiving positive feedback from peers who found the internal articles helpful.

Conclusion

We are currently amid a massive technological transformation. Although everyone lives in the same era and can use AI tools, their understanding of AI varies widely. The future belongs to those who master AI tools, comprehend AI technology, and apply it to solve real problems and create value, echoing Zhu’s call for experts to explain AI in plain language and showcase its value through vivid case studies.