HCLTech whitepaper outlines Taiwan’s role in AI semiconductor supply chains - Asia Pacific Security Magazine

HCLTech's whitepaper is less an analysis than a single-point-of-failure risk memo for global AI compute buyers. Taiwan, China commands over 90% of advanced-node capacity and near-monopoly on CoWoS packaging—meaning NVIDIA's B200 and AMD's MI300 delivery timelines are ultimately gated by one geographic node's yield curve. The binding constraint has shifted from lithography to advanced packaging and HBM stacking. CoWoS-L capacity remains undersupplied through 2025, while HBM3E yield ramp is the invisible ceiling on AI server shipments. ASML's High-NA EUV delivery slots stretch to 2027, yet hyperscaler capex is still accelerating—the supply-demand scissors gap is widening, not closing. On compliance, friend-shoring mandates push Intel and Samsung to build in Arizona and Texas, but the 2nm yield gap requires 18 to 24 months to close. HCLTech, an IT services firm, publishing this is a positioning play: staking a claim in AI infrastructure consulting and competing for cloud providers' supply-chain audit budgets. Over the next 18 months, the likely outcome isn't de-Taiwan-China-ization but a hardened dual-track model: Taiwan, China as primary with qualified backups. The real swing factor is HBM4 mass-production timing—whoever cracks stacking thermal management first will set pricing power for 2026 AI compute.