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Victory Giant joins IPO push by China’s circuit-board makers amid AI frenzy

NVDA
Artificial IntelligenceTechnology & InnovationIPOs & SPACsCompany FundamentalsAnalyst InsightsTrade Policy & Supply Chain

Victory Giant Technology launched a Hong Kong IPO aiming to raise up to HK$17.49 billion (US$2.2 billion), highlighting strong investor demand for AI-linked PCB makers. The article says PCB suppliers are benefiting from surging AI data-centre infrastructure spending, with another domestic supplier recently raising 1.8 billion yuan and a third reportedly seeking at least US$3 billion in Hong Kong. Analysts expect the sector's momentum to last one to two years amid ongoing supply shortages.

Analysis

The market is starting to price PCB supply as a bottleneck rather than a commodity, which is the key second-order shift. If AI server builds stay on their current trajectory, the value capture migrates from the obvious compute layer into constrained interconnect and power-delivery components where qualification cycles are long and capacity additions are lumpy. That tends to support pricing power for the next 4-8 quarters, but it also means the easiest upside is in the ecosystem names with the tightest lead times and highest mix exposure to premium multilayer boards. For NVDA, the direct read-through is not material to near-term gross margins, but it matters for shipment elasticity. PCB scarcity can delay rack completions before it shows up in headline chip demand, which creates a lagged risk to supply chain throughput and could pressure revenue recognition in bursts rather than smoothly. The more important implication is that board suppliers may become an incremental gatekeeper on AI infrastructure deployment, which supports the broader capex cycle even if some hyperscalers temporarily ration server rollouts. The contrarian risk is that this becomes a financing-driven crowd trade just as capacity announcements are hitting the tape. IPO proceeds and new listings can bring forward supply, and if every regional PCB vendor expands simultaneously, the margin peak could arrive earlier than expected. In that scenario, the trade shifts from owning the entire theme to owning the highest-quality names with proprietary technology and shortest substitution risk, while fading lower-barrier entrants once bookbuilding enthusiasm normalizes. From a timing perspective, the next catalyst window is 1-3 months, when new order books and capex guidance will validate whether this is a durable shortage or an IPO narrative. If AI server demand remains strong into the next earnings season, board makers should continue outperforming equipment and broader hardware, but a slowdown in hyperscaler capex or any export-control tightening on the AI stack would compress sentiment quickly. The cleanest setup is a relative-value expression that benefits from continued AI infrastructure spend without relying on multiple expansion alone.