Chinese Chip Design Firm Empyrean Uses Agentic AI to Cut Circuit Layout Time by 75%
Chinese electronic design automation company Empyrean Technology is turning to agentic artificial intelligence to speed up parts of the chip design process, highlighting how China’s semiconductor sector is pushing harder to reduce dependence on foreign technologies.
Empyrean chairman Liu Weiping revealed at the 2026 International Integrated Circuit Innovation Expo in Shenzhen that the company has used agentic AI to shorten the time required for certain circuit layout tasks from four weeks to just one week. That represents a reduction of around 75%, a major improvement in one of the most time-consuming stages of semiconductor development.
The announcement comes as China continues to strengthen its domestic semiconductor supply chain amid ongoing restrictions on advanced chipmaking tools and technologies. While much attention has been placed on chip manufacturers such as SMIC and memory producer CXMT, electronic design automation, or EDA, is another critical part of the industry where China is trying to build stronger local capabilities.
EDA tools are essential software platforms used by semiconductor companies to design, test, verify, and optimize chips before they are manufactured. These tools help engineers detect errors, improve circuit layouts, simulate performance, and manage increasingly complex chip architectures. Today, the global EDA market is largely dominated by major companies based in the United States and Europe, making domestic alternatives a strategic priority for China.
Liu said Empyrean is not only using agentic AI internally but is also developing an agentic EDA platform of its own. Agentic AI refers to artificial intelligence systems designed to complete specific tasks with a higher level of autonomy. Instead of simply generating suggestions, these systems can plan steps, execute workflows, and assist engineers in solving specialized problems more efficiently.
In chip design, this could be especially valuable. Modern semiconductors can contain billions of transistors, and even small improvements in layout, verification, and optimization workflows can save significant time and cost. By applying AI agents to repetitive or highly technical design tasks, EDA companies may help engineers move faster while reducing the risk of design errors.
Empyrean’s progress also reflects a broader industry trend. Several major global EDA providers and emerging startups are exploring agentic AI for chip design, as semiconductor companies look for ways to handle rising design complexity. As chips become more advanced, traditional design methods are becoming increasingly time-intensive, making AI-assisted engineering an important area of competition.
For China, the stakes are even higher. Building a competitive domestic EDA ecosystem could help local chip designers reduce reliance on foreign software and improve resilience across the semiconductor supply chain. This is especially important as the country works to advance logic chips, memory chips, and specialized processors under tighter access to certain overseas technologies.
Beyond EDA, Chinese semiconductor firms are also investigating ways to manufacture more advanced chips using existing deep ultraviolet lithography technology. These efforts include new memory fabrication approaches and vertical chip structures designed to increase transistor density without relying entirely on the most advanced lithography systems.
Empyrean’s use of agentic AI shows how artificial intelligence is becoming more than a productivity tool in the semiconductor industry. It is now emerging as a strategic technology that could influence how chips are designed, optimized, and brought to market.
If the company can expand its early results into a broader commercial platform, it may strengthen China’s position in chip design software and accelerate the country’s long-term push for semiconductor self-sufficiency.
