The traditional narrative of semiconductor progress, once defined solely by the shrinking of transistors, has reached a critical inflection point. As the industry gathers for SEMICON China 2026 in Shanghai, the focus has shifted from the front-end ‘nano-race’ to the sophisticated ‘back-end’ architectures of 2.5D and 3D packaging. Ram Trichur, Henkel’s global head of semiconductor packaging, characterizes this shift as a fundamental reconstruction of system architecture driven by the insatiable demands of artificial intelligence.
For decades, packaging was a secondary consideration, a means of protecting the silicon. Today, it is the primary engine for performance gains. In the realm of data centers, AI processors for training and inference are no longer monolithic; they rely on High Bandwidth Memory (HBM) and complex logic-memory integration that only 2.5D/3D stacking can facilitate. This evolution has moved advanced packaging from the background to center stage, making it the definitive bottleneck—and opportunity—for the next generation of computing.
However, this architectural leap brings unprecedented physical challenges. As AI processors push toward kilowatt-level power consumption, the industry is hitting a ‘thermal wall.’ Trichur notes that the sheer size of modern packages leads to significant warpage and stress issues during the assembly process. To combat this, material science is pivoting toward high-conductivity adhesives and liquid molding materials that can dissipate heat from high-density, ultra-fine pitch structures, particularly as the industry prepares for the transition to HBM4 and HBM5.
The innovation isn't just in the chips themselves, but in how they are developed. Materials giants like Henkel are now deploying AI-driven R&D tools to digitize experimental data and move toward ‘predictive innovation.’ This allows for faster iteration of specialized materials, such as copper-interface sintering solutions for power electronics in EVs and fast-charging applications. By automating the discovery of new chemical compositions, the industry aims to keep pace with the rapid lifecycle of AI hardware.
Finally, the move toward advanced integration is being coupled with a mandatory green transition. Regulators and global supply chains are increasingly demanding the removal of PFAS (per- and polyfluoroalkyl substances) and the adoption of bio-based or recycled materials, such as silver. This dual-track evolution—higher performance and lower environmental impact—is defining the new competitive landscape for the post-Moore’s Law era.