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EnglishMarch 26, Shanghai — As artificial intelligence transitions from “being able to speak” to “being able to do,” how can semiconductor companies embrace the transformative power of AI while ensuring safety and control? At DingTalk’s C10 Roundtable event—Shanghai Semiconductor Special, one clear answer emerged: security and efficiency are not mutually exclusive; they can complement each other.
Building AI Infrastructure Tailored to Industry Needs
At the start of the event, during the “2026 China Electronics & Semiconductor Digital Intelligence Summit,” Yiran, head of DingTalk’s Wukong Business Unit, introduced Wukong—a native AI-powered work platform designed specifically for industrial scenarios. He noted that the semiconductor industry approaches AI with a pragmatic mindset, focusing not on cutting-edge technology but on striking the right balance between compliance, data security, cost, and value.
To address these core needs, DingTalk has developed an industry-oriented AI infrastructure featuring private deployment, secure sandboxes, permission controls, multi-agent collaboration, and long-term memory capabilities, transforming AI from fragmented tools into a foundational support system for enterprise operations.
“The true value of AI lies in augmenting expert capabilities, not replacing human talent,” Yiran emphasized. DingTalk is committed to building practical AI applications that seamlessly integrate into collaboration workflows, knowledge management, and daily operations, becoming a natural extension of organizational productivity.
From “Renting Space” to “Owning Property”: Gekewei’s Secure Collaboration Journey
As a representative client case, Zhao Ke, IT Director at Gekewei Electronics, shared his company’s pivotal decisions during its digital transformation. Since transitioning from a fabless model to IDM (Integrated Device Manufacturer) in 2020, Gekewei has established a multi-factory collaborative system across Zhangjiang, Lingang, and Jiashan in Shanghai. While this expansion fueled business growth, it also posed dual challenges: improving cross-factory collaboration efficiency and safeguarding data security. Faced with these pressures, Gekewei chose DingTalk as its foundation, building the private collaboration platform GC Link and shifting from “renting public services” to “owning its own digital home.”
Zhao Ke explained that GC Link localizes core assets like document systems and knowledge bases, meeting stringent data compliance requirements while leaving room for future AI-driven knowledge management. Today, features such as AI transcription and smart tables are widely used in meeting minutes and process automation, significantly boosting efficiency. The platform has also expanded into supplier interactions, enabling data visibility and real-time risk monitoring, thereby strengthening collaboration within the semiconductor industry’s complex and intricate supply chain.
“A collaboration platform serves as the nervous system connecting ‘hands and feet’ with the ‘brain,’” Zhao Ke stated. Only when data security is under control can AI truly penetrate core business processes and become a sustainable competitive advantage for the enterprise.
The “Three-Step Strategy” for Implementing AI
Regarding the path to AI adoption, Zixun, an AI delivery solutions expert at DingTalk, outlined a three-step methodology tailored to the semiconductor industry. The first step involves laying the groundwork—deploying the platform, cultivating a skilled team, and accumulating data and knowledge resources. The second step focuses on embedding AI into key processes such as R&D, manufacturing, management, and collaboration, setting clear performance metrics. The third step entails deepening innovation by integrating AI into product design or training proprietary enterprise models to achieve differentiated competitive advantages.
Zixun highlighted that DingTalk will provide end-to-end support—from raising awareness and piloting initiatives to full-scale deployment—helping semiconductor companies steadily build their AI capabilities while adhering to regulatory and safety standards.
This C10 special event sent a clear message: for semiconductor companies, safety must come first when adopting AI. The real challenge lies not in replacing human labor but in fostering human-machine collaboration.
DingTalk will continue to release industry-specific Skill toolkits and offer more flexible deployment options, accelerating the large-scale application of AI across high-complexity sectors like semiconductors. For the semiconductor industry, which is actively embracing intelligence, AI is no longer just a technological buzzword—it represents a systemic reshaping of organizational efficiency, knowledge transfer, and industry collaboration models.
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