JellyZ@JellyZhouishere
Oracle reported earnings today. I opened its chart on SoDEX — the stock was down nearly 12% in pre-market trading.
sodex.com/join/JELLYZ
This is not an isolated case. Over the past week, three key companies across the AI infrastructure chain reported earnings, and the market reaction was surprisingly consistent:
- June 3: Broadcom reported FY2026 Q2. Results beat — the stock sold off sharply.
- June 4: Ciena reported FY2026 Q2. Results beat — the stock also fell sharply.
- June 10, after the close: Oracle reported FY2026 Q4. Results beat — the stock dropped anyway.
Three earnings reports. None of them were bad. Three stock reactions. None of them went up.
So what went wrong?
First, Oracle: strong demand, but heavy financing pressure.
The numbers were solid: Q4 revenue of $19.18B, up 21% YoY; adjusted EPS of $2.11; OCI cloud infrastructure revenue up 93% YoY.
The problem is not demand. The problem is investment. In FY2026, Oracle's CapEx reached $55.66B while free cash flow was -$23.69B. FY2027 CapEx could reach as high as $95B, funded by continued debt and equity financing for AI data center construction.
Oracle's central tension is clear: AI cloud orders are strong, but fulfilling them requires massive upfront spending on data centers, GPUs, networking, power, and land. The market isn't worried about whether demand exists — it's worried about whether these orders can generate a high enough return on capital, and when free cash flow will turn positive again.
Then Broadcom: the business is strong, but expectations are too high.
Revenue was $22.19B, up 48% YoY; AI semiconductor revenue was $10.8B, up 143% YoY. Very strong — yet the stock still fell.
Expectations for core AI suppliers have become extreme. Broadcom guided Q3 AI chip revenue to around $16B — strong, but not enough for the market's more aggressive hopes. Broadcom didn't fall because AI ASIC and networking demand is weak. It fell because the stock had already priced in too much of the future.
Finally, Ciena: revenue beat, but the trade was too crowded.
Revenue was $1.57B, up 40% YoY; adjusted EPS was $1.64, up 290%; full-year revenue guidance was raised to around $6.3B. Again, not a bad report.
Ciena's problem: the market had long been trading it as a core beneficiary of AI optical networking — AI data centers need higher-bandwidth, lower-latency optical connections, and Ciena sits directly in that part of the chain. But after a sharp year-to-date rally, the bar for another positive surprise was simply too high.
Three companies, one signal.
Oracle provides cloud and databases. Broadcom provides ASICs, AI networking chips, and infrastructure software. Ciena provides optical networking and data center interconnects. Placed inside the AI infrastructure chain, they are links in the same chain:
AI data center construction → AI ASICs / networking chips → optical networking / interconnects → cloud revenue and compute monetization
Look at all three together and the signal is clear: AI infrastructure trading is moving from phase one to phase two.
In phase one, the market bought the narrative: who has AI orders, who is in the chain, who benefits from data center expansion.
In phase two, the market buys verification: can orders turn into revenue, revenue into profit, profit into free cash flow? Can CapEx generate enough ROIC? Is valuation already stretched? Can guidance keep moving higher?
The selloffs across all three companies show that the market will keep trading AI — but it will no longer blindly reward every AI infrastructure company.
Going forward, the real upside may belong to two types of companies: the surest recipients of AI CapEx dollars — GPU, ASIC, HBM, networking, and power chain companies — and the operators that can prove CapEx returns by turning orders into revenue, profit, and free cash flow.
If you also follow U.S. AI stocks, you can view and trade related U.S. equity contracts on SoDEX, including $ORCL, $MU, and other AI infrastructure names.
