The AI Interconnect Inflection Point: Ecosystem Shifts and Value Creation in the Physical Layer

The exponential growth of generative AI is forcing data center infrastructure into an unprecedented architectural overhaul. As system bottlenecks shift away from compute and toward the "I/O wall," the physical layer is accelerating its migration from copper to optics.

This report examines the strategic divergence between Broadcom and Marvell-one favoring evolutionary dominance, the other pursuing architectural disruption-and explores how the convergence of 224G SerDes and the rise of the Ultra Ethernet Consortium (UEC) are reshaping industry standards. It further analyzes how Taiwan's supply chain is emerging from traditional manufacturing roles to become a key enabler and architect of next-generation system design.

Key Highlights

• Capital Shift - Network Becomes the Gating Factor
  • Generative AI is reshaping data center CapEx priorities: without network upgrades, expensive GPU compute increasingly risks becoming stranded assets.
• I/O Wall - A Physical, Not Architectural, Constraint
  • AI system performance has hit a definitive I/O Wall, forcing a non-optional transition from copper to optical interconnects at commercial scale.
• Architectural Divide - Evolution vs. Disruption
  • Broadcom defends scale-out dominance through incremental evolution, while Marvell bets on scale-up photonics to break the memory wall-two incompatible visions of future AI clusters.
• Open Standards - Pricing Power Rebalancing
  • 224G SerDes and UEC-driven Ethernet are dismantling single-vendor lock-in, restoring pricing leverage and supply-chain flexibility to cloud service providers.
• Taiwan - From Manufacturing to System Leverage
  • Amid rising geoeconomic pressure, Taiwan's supply chain is moving upstream into system co-design and advanced packaging, enabling structural margin expansion as hidden platform enablers.