SEMI Says Bridge Technology Will Lead Next-Gen Large-Format Packaging - www.thelec.net

SEMI's positioning of bridge technology is less a forecast than a confession: the industry has hit a hard wall. Beyond 500mm² die sizes, conventional RDL interconnects simply cannot maintain signal integrity. Bridge structures—3D cross-layer direct paths—compress interconnect length by over 40%. This is a paradigm shift, not an incremental upgrade. Upstream, this forces new photoresist chemistries and 400μm thin-substrate volume production. EDA vendors must rebuild SI/PI solvers for 3D bridge geometries. Downstream, NVIDIA and AMD's HBM4 stacking architectures will almost certainly anchor on this topology—bandwidth density, not raw compute, is the true AI accelerator bottleneck. The real risk is equipment concentration, not the technology itself. TSV and hybrid bonding tools remain heavily dependent on Applied Materials and BESI. Any tightening of export controls at the 10nm bonding-precision threshold will fracture the chain. Packaging houses in China—JCET, Tongfu—face a two-to-three-year process-knowledge gap in bridge-specific know-how. Strategic read: TSMC's CoWoS-L and Intel's EMIB are philosophically converging but commercially diverging. I expect proprietary lock-in, not UCIe standardization at the bridge layer. Twelve-to-twenty-four-month tail: By Q3 2026, the first 1000mm²+ bridge-based AI inference packages enter volume production. The hidden cost sink is test—bridge structures multiply potential failure points, pushing ATE costs up 30% to 40%. That margin compression is what will flush out mid-tier OSATs.