AI accelerator growth shifts toward value as custom ASICs move upmarket

The 150% upward revision is not a demand story—it is a pricing-power story. AI accelerator economics are pivoting from volume to value density, and that distinction restructures the entire supply chain. Technical cascade: Custom ASICs climbing the performance ladder directly compress CoWoS/SoIC capacity. TSMC's advanced packaging becomes the single largest bottleneck through 2027. HBM4 bandwidth requirements force SK Hynix and Samsung to deliver 16-high stacks by Q4 2026, or training-cluster TCO models collapse across the board. Market dynamics: NVIDIA's moat is retreating from raw performance lead to software ecosystem plus inference dominance. Hyperscaler in-house silicon has graduated from backup to primary weapon. Once design lock-in crystallizes, switching costs exceed $20B annually, creating a structural two-tier market where training workloads bifurcate between custom silicon and commodity GPUs. 12–24 month tail: By H2 2026, the first ASIC design-window closure will hit. Customers who miss CoWoS allocation slots slide into 2028 delivery cycles. The market splits into two parallel worlds: capacity-locked and queue-waiting. The $1T milestone by 2028 is not a forecast—it is a capacity constraint wearing a demand mask.