GOSIM Hangzhou 2025: Super Tools, AI Job Shifts, and Human‑AI Collaboration

The author attended the large‑scale GOSIM Hangzhou 2025 conference, held in a five‑star hotel, and noted that the event focused heavily on cutting‑edge AI topics.

Huawei’s chief open‑source liaison Ren Xudong, in his talk “Open‑source Collaboration, Inspiring Innovation, Co‑creating an Intelligent World,” argued that the cycle from new technology to industrialization is shortening, and that “super individuals” equipped with “super tools” are giving rise to “super factories.”

Wang Jialiang, executive dean of the Shanghai Jiao‑Tong University Institute, warned that “90% of white‑collar jobs will be replaced by AI,” highlighting the difficulty CS graduates now face and predicting that 99% of people will become freelancers, rendering traditional academic prestige less relevant.

Huawei senior engineer Chen Shuangrui presented “Nexent: How to Use AI to Build AI, and the Real‑World Challenges for Enterprises,” outlining the evolution of intelligent‑agent platforms, key technical hurdles, and practical solutions for deploying AI in companies.

Assistant professor Salim Nahle from the University of Alsace described generative AI’s impact on education, noting that AI both automates routine tasks and creates higher‑value roles, increasing demand for AI engineers, data‑governance experts, cybersecurity specialists, and sustainable‑engineering professionals. He emphasized that engineers who can effectively use AI will outpace those who cannot.

The session also offered concrete human‑AI collaboration practices: role complementarity (domain experts provide knowledge, engineers implement technology via automated bridges), dynamic balance between free exploration and constraint to preserve innovation while mitigating risk, and a feedback loop of execution → evaluation → tuning.

In concluding reflections, the author observed that while AI technologies still need time to mature and achieve broad adoption, early adopters are already reaping benefits. Success in the AI era, he argued, belongs to those who understand users, business, and AI technology, possess creativity and execution power, and commit to lifelong learning.