Impact on GPU production
- 18 % to - 25 %
Estimated deficit for Q2-Q3 2026 due to combined disruptions in process gases and advanced packaging bottlenecks.
Data center deployment delay
+ 16 months
Power transformers, highly dependent on copper and specialized transport, continue stretching connection timelines.
Inference operational cost
+ 40 %
Simultaneous pressure on hardware, materials, and energy threatens the profitability of compute-intensive generative models.
Massive capital investment does not resolve a physical shortage in the short term. When the bottleneck is in helium, neon, resins, copper, or substrates, additional capex competes for the same resource instead of multiplying it.
Extreme geographic concentration in very specific steps turns every regional shock into a global problem. AISHA does not treat these dependencies as market noise, but as direct material limits on the pace of AI deployment.
Geopolitics doesn't just make hardware more expensive: it can also cut production, delay campuses, and shatter the fiction that capital always arrives before materials.