March 26, Shanghai — At a pivotal moment when AI is evolving from "talking" to "doing," how can semiconductor companies embrace the transformation of AI while ensuring security and control? The answer offered at DingTalk's C10 Roundtable Event – Semiconductor Special in Shanghai is clear: security and efficiency are not mutually exclusive.

Building AI Infrastructure for Industry

Prior to the event, Yiyan from DingTalk’s Wukong Division introduced the AI-native workplace platform Wukong at the "2026 China Electronics & Semiconductor Digital Intelligence Summit." He pointed out that the semiconductor industry adopts AI with a notably "steady and cautious" approach. What enterprises truly care about isn't technological innovation per se, but rather the balance among security, compliance, cost, and return on investment.

To meet these needs, DingTalk has built industry-specific AI infrastructure encompassing capabilities such as private deployment, secure sandboxes, permission governance, multi-agent collaboration, and long-term memory mechanisms—enabling AI to shift from isolated tools to foundational enterprise systems.

"The value of AI lies in amplifying human expertise, not replacing people," said Yiyan. DingTalk remains committed to building practical AI solutions that embed seamlessly into collaboration, knowledge accumulation, and process execution, becoming an integral part of organizational productivity.

From 'Renting' to 'Owning': GC Semi's Secure Collaboration Practice

As a representative user, Zhao Ke, IT Director at GalaxyCore, shared key decisions made during the company’s digital transformation journey. Since transitioning from a fabless model to an IDM (Integrated Device Manufacturer) in 2020, GalaxyCore has gradually established a multi-factory collaborative system across Zhangjiang, Lingang, and Jiashan in Shanghai. Rapid expansion brought not only growth in business scale, but also dual challenges in cross-factory operational efficiency and data security management. To address this, GalaxyCore ultimately chose to build GC Link—a private collaboration foundation based on DingTalk—transforming its collaboration capability from "renting" to "owning."

Zhao Ke explained that GC Link enables local deployment of core assets such as documents and knowledge bases, meeting strict data security and compliance requirements while leaving room for future AI-powered knowledge base expansion. Features like AI note-taking and AI spreadsheets have continuously delivered value in meeting documentation and process automation. The platform has also been extended to supplier interaction scenarios, enabling data traceability and risk alerts, offering new support for the complex and rigorous supply chain collaboration typical in semiconductor firms.

"A collaboration platform is the foundation connecting the 'hands and feet' with the 'brain,'" emphasized Zhao Ke. Only under secure and controllable conditions can AI truly integrate into core business processes and become a sustainable organizational capability.

A Three-Step Methodology for AI Implementation

On the path to AI adoption, DingTalk AI delivery expert Zixun proposed a "three-step" methodology tailored for the semiconductor industry. The first step is infrastructure development: deploying the platform, building talent teams, and accumulating databases and knowledge repositories. The second step involves penetrating business scenarios by embedding AI capabilities into critical areas such as R&D, production, collaboration, and management, with measurable objectives. The third step focuses on deepening products and models, integrating AI further into product systems or training proprietary enterprise models.

Zixun noted that DingTalk will provide end-to-end support—from awareness building and pilot implementation to live operations—helping semiconductor companies systematically build AI capabilities within secure and compliant frameworks.

This C10 special event sent a clear signal to the industry: for semiconductor companies embracing AI, true prerequisites lie in security; the real key is not replacement, but collaboration.

DingTalk will continue to open up industry-specific Skills packages and offer more flexible deployment options, driving large-scale AI adoption across complex industries like semiconductors. For the semiconductor sector, which is accelerating toward intelligent transformation, AI is no longer just a label for technological innovation—it represents a systematic reengineering of organizational efficiency, knowledge accumulation, and industrial collaboration.

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