AI accelerates Moore's Law to 16x density every 2 years
AI demand has accelerated transistor density scaling from the traditional 2x every two years to 16x every two years, requiring EUV lithography, high-bandwidth memory, and continued innovati…
Energy consumption a key constraint for AI compute scaling
The 16x compute demand growth from AI faces fundamental cost and energy consumption constraints, requiring major innovation in chip architecture, lithography, and memory to improve performa…
High-bandwidth memory critical for AI compute scaling
HBM is a key enabler for AI performance, requiring major innovation in memory technology alongside logic scaling to meet the 16x compute demand growth from AI.
Hyperscalers designing custom AI chips; architecture shifts toward AI-optimized designs
Hyperscalers are developing their own AI-optimized chips, moving beyond generic GPUs. Both logic and memory will see major design changes specifically for AI workloads, reshaping the semico…
China 10-15 years behind in advanced logic without EUV access
China lacks access to EUV lithography, putting it at least 10-15 years behind in advanced logic manufacturing. Without EUV, economically viable volume production at advanced nodes is imposs…
Chip Acts insufficient without solving structural cost competitiveness
Government subsidies (CHIPS Acts) can jumpstart manufacturing but cannot guarantee long-term success unless countries achieve structural cost and flexibility competitiveness. R&D history an…