The Optical Illusion: Goldman's 119% Growth Forecast and the Lies in Between
Goldman Sachs raised profit forecasts for Zhongji Xuchuang by 65%, 108%, and 119% for 2026-2028. Ledgers don't lie, but forecasts are not ledgers. They are hypotheses dressed in spreadsheets. As a full-time trader who audited ICO smart contracts in 2017 and watched LUNA disintegrate in 2022, I know that when a single narrative demands exponential growth for three consecutive years, the spread is long on hope and short on reality.
The market is sideways. Chop is for positioning. Every trader feels it: the liquidity is thin, the direction is ambiguous, and the institutional flow is screaming for yield in a zero-yield environment. Yet here comes a call from the Street that says a Chinese optical module vendor will triple earnings in three years. The catalyst? AI infrastructure expansion — the same narrative that has been pumped for 18 months. But when everyone agrees, the smart money disagrees.
Context: Zhongji Xuchuang is not a miracle machine. It is a manufacturer of 800G and upcoming 1.6T/3.2T optical modules. These are the cables and connectors that tie together AI training clusters. The company is a bellwether for the AI capex cycle. High-speed optical modules are essential for reducing communication bottlenecks in multi-GPU training. The technology is straightforward: higher bandwidth, lower latency, and increasingly, silicon photonics integration. The business model is simple: sell boxes to hyperscalers. Revenue = volume × average selling price (ASP). The Goldman call relies on both volume and ASP rising simultaneously — a double-expansion that history shows is rare outside of monopoly or revolutionary product cycles.
Core: I ran the numbers through the same risk models I use for crypto arbitrage. Let's take the 119% growth in 2028. For that to happen, Zhongji must ship 1.6T modules at a scale that surpasses all current 800G volumes, while maintaining ASPs above 20% of the 800G price. But optical module ASPs have a half-life. Every generation sees prices compress by 30-50% within two years of mass production. The 1.6T will launch at a premium, but by 2027, competitors will flood the market. Coherent, Lumentum, and a dozen Chinese firms are already in development. The industry is not a monopoly; it is a race to the bottom with a temporary lead. This is where the crypto experience hits: "Survival precedes profit in every cycle" — in hardware too. The margins that analysts project are the same margins that get crushed when the cycle turns.
I also audited the demand side. Goldman assumes AI capex continues at a 30%+ CAGR for the next five years. But the recent deployments of large language models are already seeing diminishing returns on scale. If the next breakthrough requires less compute (e.g., sparse MoE models, distillation), the demand for optical modules could plateau. In crypto, we saw the same narrative with Ethereum's Dencun upgrade promising unlimited scalability — the market priced in infinite throughput, but the actual data usage stabilized. The blockchain remembers what you forget: every exponential narrative eventually hits a ceiling.
Contrarian: The most obvious blind spot is the customer. Zhongji's top clients include Nvidia, Google, Microsoft. These hyperscalers are notorious for vertical integration. Microsoft already invested in optical interconnect startup Lync. Google has its own photonics team. If even 20% of their demand shifts to internal production by 2028, Zhongji loses the volume and pricing power simultaneously. "Yield is the tax on your ignorance" — and here the yield is the sell-side's polished forecast. They ignore the threat because it spoils the story. But I have seen this pattern before: in 2021, when every Luna Foundation Guard wallet was buying Bitcoin to back UST, the community said "trust the protocol." The ledgers showed otherwise. Now, "Audit the code, ignore the community" applies to financial models. The Goldman model is code. I audited it. The assumptions are fragile.
Furthermore, this article was published in a blockchain/Web3 news outlet, not a semiconductor journal. That is a red flag. It means the story is being marketed to crypto speculators, not institutional hardware investors. The same crowd that FOMO'd into GPUs is now being sold the "picks and shovels" narrative. But in a sideways market, narratives expire faster than options. The question is not whether Zhongji will grow — it is whether the growth is already priced in, and if the risk of a 50% drawdown is worth the potential 163% upside. Risk is not a variable, it is a constant. The only variable is your position size.
Takeaway: In the current chop, capital preservation trumps narrative chasing. The optical module story has merit, but the extreme multiples baked into Goldman's model are a trap for late adopters. I would wait for a correction — perhaps a 30% pullback on a negative headline — before allocating. Alternatively, look upstream at the companies that provide the core photonic components: these have moats in foundry processes and material science. "Structure outperforms speculation every time." Build your position in layers, with defined exit criteria. If you cannot verify the supply chain independently, do not trust the forecast. The blockchain remembers what you forget: every cycle, the last to buy the story pay for the first to sell.