The analysis evaluates photonic and optical computing technologies as critical enablers of next-generation AI infrastructure, addressing growing bandwidth, latency, power consumption, and scalability constraints associated with copper-based interconnects. The analysis covers photonic integrated circuits (PICs), optical Input/Output (I/O) chiplets, co-packaged optics (CPO), optical interconnects, and emerging optical compute architectures for AI training and inference. Radio frequency (RF) photonics, gallium nitride (GaN) and silicon carbide (SiC) power electronics, and solid-state transformers (SSTs) are also assessed where they enable high-speed connectivity, efficient power delivery, and scalable AI infrastructure.

• How can you identify new opportunities by examining the enabling technology ecosystem across material platforms, heterogeneous integration, advanced packaging, chiplet architectures, memory-disaggregated optical fabrics, RF photonics, and supporting power infrastructure?
• Is your team equipped with the right growth strategies across the value chain from materials, foundries, IP providers, design houses, and power component suppliers to system vendors, cloud providers, and hyperscale AI data center operators?
• What are the major industry best practices that your team can adopt to achieve massive growth?