CITIC Securities: Distributed Expansion of Optical Interconnect Boundaries, DCI Industry Chain Faces Systemic Restructuring
While global AI giants remain excited about the unlimited prospects of the "Scaling Law," the true bottleneck is quietly arriving in a very physical way—not in algorithms, not in data, but in electricity and land. This report from CITIC Securities may appear to analyze a technological transition in an industrial chain, but it actually breaks through a barrier: the ultimate battlefield of the AI arms race is shifting from dazzling model parameter competitions to the most mundane, hardcore infrast
Analysis
This is the true moment of "disenchantment." While public debates still rage over which model is smarter or which application is more disruptive, Wall Street analysts and engineers have long begun measuring AI’s future in kilowatts and optical modules. The term "computing wall" in the report is precise. No matter how many advanced GPUs are stacked in a data center, it will eventually collide with the iceberg of local grid capacity and substation approval. This is not a technical issue; it is a dual iron curtain of physics and administration. Thus, the logic becomes crystal clear: since data and tasks can no longer be "involutionally" contained within a single park, they must "spill over" to distributed computing and collaboration across broader geographical spaces. This is the essence of "Scale Across"—a forced yet imaginative relocation across physical space.
At the heart of this relocation is DCI (Data Center Interconnect). In the past, DCI might have been used for backup, disaster recovery, or handling routine traffic—essentially the "connection lines" between data centers. But today, when it must support training trillion-parameter models, the requirements become formidable: high density, high bandwidth, low latency, and high reliability—all indispensable. This is not an upgrade but a complete overhaul. It directly signals that the old DCI business model, dominated by a few downstream system integrators, is collapsing. Value is undergoing a quiet but profound "upward shift."
Previously, the most profitable players in optical transmission equipment were the "general contractors" who assembled devices into complete solutions. Now, the situation has changed. AI demands the utmost performance squeezed into every bit of fiber. Whoever can advance modules from 100G to 400G, 800G, or even 1.6T, and whoever can produce more stable and compact optical amplifiers, becomes the shovel-sellers and cement-makers of this new world—those who collect tolls on the essential pathways. Components like chips, modules, and amplifiers, once overshadowed by vast systems, have suddenly ascended to the forefront of value. The report’s mention of "profound industrial chain restructuring" centers on this: discourse power and profit pools are undergoing an epic shift from downstream integration and assembly to mid- and upstream precision optoelectronic manufacturing.
For Chinese manufacturers, this is undoubtedly a tempting window of opportunity. The report highlights "mature manufacturing advantages and supply chain collaboration capabilities"—a polite way of putting it. To be blunt, our cost control, mass production capabilities, and rapid response speeds in the optical module sector are now an undeniable force in the global industrial chain. In the past, we relied on this to secure orders and handle contract manufacturing; now, we have the opportunity to directly enter the core supply chain of global AI computing infrastructure. This is no longer just about earning processing fees but potentially participating in defining the technological standards for next-generation infrastructure.
But hold off on cheering. Behind the opportunities lie deeper challenges. The upstream shift in value means competition will revolve around harder technological barriers: the design and manufacturing of high-speed optoelectronic chips, the application of new materials, and ultra-precision packaging processes. If we settle for scale advantages in module assembly without breakthroughs in upstream "brain" components like optical chips and DSP (Digital Signal Processor) chips, then the majority of profits from this feast will ultimately flow to the international giants that control core technologies. We may build most of the "highways," but the keys to the most expensive toll stations remain in others’ hands.
Therefore, CITIC Securities’ report is less an industry forecast and more a warning of an "infrastructure crisis." It reveals a stark reality beneath the AI frenzy: the path to artificial general intelligence is paved with cold concrete, humming transformers, and fiber-optic cables threading through desert sands. While everyone looks up at the stars of algorithms, the truly decisive battle is unfolding underfoot on this land. The future of computing power lies not only in code but also in fiber optics, in substation blueprints, and in the tedious R&D that might improve optoelectronic conversion efficiency by 0.1%. Whoever controls this physical "pipeline" truly holds the lifeline of the AI era’s energy.
Disclaimer: The above content is generated by AI and is for reference only.