Taiwan’s semiconductor and manufacturing ecosystem is becoming the bridge between Silicon Valley AI and the physical world
Taipei—COMPUTEX 2026 opened on June 2 at the Taipei Nangang Exhibition Center, offering a clear signal of where the AI industry is heading next. The center of gravity is moving away from AI as a screen-based service and toward AI as a physical industrial system embedded in PCs, robots, vehicles, factories and data centers.
Running through June 5, the exhibition brings together about 1,500 companies from more than 33 countries across roughly 6,000 booths, with organizers expecting more than 80,000 buyers, engineers and technology executives from 150 countries. Yet the significance of this year’s event is not its scale alone. What stood out on the opening day was the shift in language, investment and product strategy: AI is no longer being presented only as a model that answers questions, but as a system that observes, decides and acts.
The exhibition halls were crowded from early morning as global buyers, semiconductor engineers and startup founders moved between AI server displays, next-generation chip demonstrations and robotics showcases. The newly expanded AI Robotics Zone quickly became one of the busiest areas. Whenever humanoid robots picked up objects, navigated space or performed industrial tasks in response to natural-language instructions, smartphones rose across the crowd and questions poured in from attendees.
This year’s theme, “AI Together,” reflects an industry-wide push to connect AI software with hardware, supply chains and real-world deployment. In that sense, COMPUTEX 2026 is not simply another technology exhibition. It is a marker of AI’s transition from cloud-based generative systems to physical AI — systems designed to perceive, reason and operate in the real world.
Jensen Huang, chief executive of NVIDIA, framed the shift directly during his keynote. He described 2026 as the beginning of agentic AI, referring to systems that can observe, reason, plan and execute tasks with greater autonomy.
NVIDIA used the event to introduce RTX Spark, a next-generation AI chip aimed at enabling autonomous AI agents in on-device environments, along with related infrastructure platforms. Huang’s broader message was that AI is evolving from an assistive tool into a new industrial asset capable of creating value and improving economic productivity.
Qualcomm President and CEO Cristiano Amon made a similar argument, calling 2026 “the year of agents.” Qualcomm’s strategy centers on low-power, high-efficiency Snapdragon platforms designed to expand AI PCs and robotics. The message was clear: while NVIDIA continues to dominate high-performance AI infrastructure, competition is intensifying around on-device AI, edge computing and efficient inference.
At COMPUTEX 2026, three strategic fronts are becoming visible.
The first is the AI PC. AMD introduced Ryzen AI Halo, combining graphics performance with advanced AI processing, while Intel presented its next-generation on-device AI strategy. The AI PC is no longer being treated as a marketing label. It is becoming a key battleground as AI workloads move from remote data centers into personal devices and enterprise workstations.
The second is robotics. Humanoid and industrial robots powered by NVIDIA’s Jetson platform, along with systems from Taiwanese companies such as ASUS and Advantech, showed how quickly AI is moving into machines. Unlike earlier robots designed mainly for repetitive tasks, many of this year’s systems are being positioned as adaptive platforms that can interpret natural-language instructions and adjust their actions to changing environments.
The third is infrastructure. As generative AI and agentic systems expand, energy use, heat management and data movement are becoming decisive constraints. Immersion cooling and high-speed optical interconnect technologies were among the most visible infrastructure themes at the exhibition. Companies including Marvell argued that next-generation AI data centers will compete not only on computing power, but also on energy efficiency and connectivity architecture.
The deeper signal from Taipei is the strategic role of Taiwan’s supply chain. TSMC, MediaTek, Foxconn and the broader Taiwanese manufacturing ecosystem are becoming the physical backbone of the AI era. If Silicon Valley produces many of the models and software architectures, Taiwan remains central to turning those systems into servers, chips, robots and industrial platforms.
That convergence may define the next phase of AI competition. The first phase was led by large language models. The second phase was driven by data-center scale and GPU supply. The next phase is likely to be shaped by who can bring AI into the physical world reliably, efficiently and at industrial scale.
COMPUTEX 2026 made that shift visible. AI is no longer confined to conversations on a screen. The competition is moving into robotics, mobility, manufacturing, edge devices and infrastructure. The next industrial order will not be decided only by who builds the largest model, but by who can make intelligence act in the real world.
