
Strong demand for AI chips is creating a shortage in the substrate market—the material layer that sits beneath silicon chips—with effects expected to ripple through 2028. This supply crunch will likely push up costs and slow the availability of advanced AI processors for businesses and cloud providers globally.
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Global demand for advanced chip substrates—critical components in CPUs, GPUs, and ASICs used in AI systems—is outpacing supply, creating a shortage expected to persist through 2028.
Why it matters
The substrate bottleneck could raise costs for AI chip buyers, delay capacity rollout, and create uneven access to advanced processors. Businesses and cloud providers relying on AI infrastructure may face higher expenses and longer lead times.
What to watch
The shortage is expected to extend through 2028, affecting the entire AI supply chain upstream.
The AI boom has shined a bright light on semiconductor design and manufacturing, but the supply chain extends far deeper than chip fabs. Substrates—the layered material foundation on which silicon dies are mounted—are a less visible but equally vital component. As demand for AI accelerators and processors has surged, substrate manufacturers have struggled to keep pace, creating a tightening in global capacity that is now expected to persist for years.
This shortage matters because substrates are not easily substituted or rapidly scaled. Unlike some other chip components, substrate production involves specialized equipment and long lead times. When demand for CPUs, GPUs, and ASICs rises sharply—as it has with the AI wave—the substrate supply chain becomes a chokepoint. The result is predictable: higher costs passed on to chip buyers, delayed shipments, and uneven allocation of capacity to major customers. Businesses and cloud providers that depend on steady flows of advanced AI processors are likely to face both price pressure and access constraints as the shortage works through the supply chain.
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