On June 4, Eastern Time, the U.S. tech stocks experienced severe turbulence due to Broadcom’s earnings guidance, causing the AI valuation narrative to show its first crack.
Broadcom’s FY2Q performance itself was not bad, with revenue of $22.2 billion and EPS of $2.44 beating expectations, and its AI semiconductor business growing 143% year-on-year. However, its guidance for the current quarter failed to meet the market’s already elevated expectations. CEO Hock Tan also revealed during the earnings call that the main custom chip customer, Google, may diversify its supply chain, and he mentioned that the expansion of the chip business would drag down the gross margin. This combination pierced through the core narrative that has supported AI trading for the past few months, leading to a drastic rotation of funds on that day.
The Dow Jones Industrial Average surged 1.7% in a single day driven by traditional sectors, hitting a new historical high; however, the Nasdaq Composite Index fell by 0.09%, and the Nasdaq 100 fell by 0.5%. In this “dumbbell-shaped” market differentiation, leading AI and semiconductor stocks faced comprehensive selling pressure: Broadcom -12.59%, Micron -7%, Marvell fell by 7% in pre-market trading, and AMD fell by over 4% in pre-market trading. Amidst this widespread decline, AAOI showed an independent trend contrary to the sector sentiment.
Broadcom became the catalyst that crushed AI trading, not because its performance was poor, but because its guidance did not meet the market’s inflated expectations. During the earnings conference, Hock Tan disclosed that AI chip sales for the fiscal year (ending in October) would reach $56 billion. Although this number is substantial, it is below market expectations. Coupled with its statement about Google diversifying the supply chain, the market’s valuation premium for Broadcom, supported by ASIC business over the past year, was shaken. In intraday trading, Broadcom hit a low of $403, with a market capitalization evaporating by about $300 billion throughout the day, marking its largest single-day drop since January 2025.
The selling pressure then spread throughout the entire AI computing power chain. The storage sector also experienced a synchronized sell-off, with Micron being considered a core supplier of AI accelerator HBM and deeply linked to AI capital expenditure sentiment, falling by about 7% in a single day. Storage-related stocks such as SanDisk and Western Digital also weakened simultaneously. Although CrowdStrike’s Q2 revenue guidance was not bad on its own, it was sold off indiscriminately against the backdrop of the overall cooling of AI trading.
Bridgewater Associates founder Ray Dalio joined the camp warning about AI valuation today, clearly distinguishing between “buying AI stocks” and “investing in AI technology,” cautioning that current valuations “may be becoming excessive.” This echoes recent warnings about AI capital spending and high valuations from JPMorgan Chase CEO Jamie Dimon and Apollo CEO Marc Rowan. The rotation of funds also carries signaling significance, flowing into the traditional economy stocks represented by the Dow Jones Index rather than a mass exodus from risk assets. This implies that the market is not engaging in systemic hedging but rather undergoing structural deleveraging within the AI sector.
In this environment, AAOI surged by 11.76% in a single day, rising from around $171 to $209.64 intraday, closing at $202.89, sharply contrasting with price declines in stocks like Broadcom and Micron. AAOI has previously experienced multiple rounds of intense volatility. The stock hit a historical high of $233.67 on May 13, dropped 9% in a single day on May 29, rebounded by 17.18%-18.81% on June 1, and surged by 11.76% again on June 4. In the past 30 days alone, there have been over four trading days with a daily price swing of over 10%. This volatility has become a norm in AAOI’s current valuation structure, with trading volume on May 11 reaching 214% of the three-month average.
The mid-term catalysts driving AAOI’s strength are relatively clear. On May 8, Rosenblatt (the day after the company announced Q1 earnings) raised AAOI’s target price from $140 to $220 in one go, reiterating a “buy” rating and listing it as a “top pick.” At the same time, Raymond James raised its target price from $72.50 to $160, and B. Riley raised its target price to $129 but maintained a neutral stance. Rosenblatt’s core logic includes Amazon’s 800G optical module revenue contribution starting, the potential kickoff of a second revenue line with Oracle’s qualification, and a significant uptick in demand for the company’s products ranging from 100G/400G/800G to the emerging 1.6T generation.
The supporting fundamental data of the company is also specific. AAOI has publicly disclosed cumulative orders for 800G and 1.6T optical modules exceeding $324 million; in April 2026, it received a $20.9 million grant from the Texas Semiconductor Innovation Fund to expand its factory in Sugar Land, Texas, to 210,000 square feet; and announced the addition of 388,000 square feet of capacity in Pearland, aiming to achieve a monthly capacity of 700,000 units of 800G and 1.6T optical modules by 2027. Management guidance targets optical module business revenue to reach a $1.4 billion annualized level by Q3 2027.
However, AAOI’s fundamentals are not without flaws. Its Q1 2026 performance fell short of expectations, with a GAAP net loss of $14.3 million and revenue of $151.1 million, both slightly below market consensus. The adjusted EPS guidance for Q2 is between -$0.03 and +$0.03, hovering around breakeven. B. Riley, while maintaining a Neutral rating, pointed out that AAOI’s 800G mass production will be delayed to the second half of the year, presenting execution risk due to overreliance on customer forecasts. Additionally, AAOI executives collectively sold about $12.6 million worth of stock in mid-May, although the remaining holdings are still substantial, the timing of the sales coincided with a peak in the stock price.
In summary, AAOI is currently in a state of tension characterized by a “strong narrative, weak Q1 earnings, and significant valuation premium,” which is the fundamental reason for its ability to experience high daily stock price volatility. It is worth mentioning that AAOI also has a potential additional driver, known in the Chinese community as “Stock God,” Serenity has repeatedly posted expressing optimism about AAOI, believing it to be his favorite optical communication exposure in the U.S. stock market. He started accumulating shares at $28 and it could possibly be the “next Micron.”
AAOI’s counter-trend strength on June 4 should not be interpreted as a counterexample to AI valuation concerns, but rather as an early signal that the market is beginning to engage in “pricing divergence” within the AI sector. One of Serenity’s public assessments in April was that the resilience of optical communication-related assets may surpass that of large-cap tech stocks: “Even if the S&P 500 drops another 20%, optical communication companies may still outperform.” This logic is rooted in the scarcity of the supply chain, where InP substrates, laser sources, and 800G optical module capacity are all structurally tight in the medium term, with pricing power lying on the supply side rather than the demand side.
The sell-off triggered by Broadcom’s guidance is fundamentally a correction of the narrative surrounding “custom ASICs + customer concentration” rather than a revision of the overall demand for AI infrastructure. From this perspective, optical communication assets, strongly linked to downstream computing power deployment, do not directly overlap with Broadcom’s core issues (customer concentration, Google potentially diversifying its supply chain) at the narrative level.
However, risks are also present. AAOI’s current stock price reflects extremely high execution expectations, with the market assuming it will achieve $1.4 billion in annualized optical module revenue by Q3 2027 while maintaining high gross margins. Should the pace of 800G production in Q2 and Q3 fail to validate, or if there is any fluctuation in customer concentration risk (Amazon, Microsoft), the valuation structure could undergo significant volatility. Although Q1 actual earnings were weak, this crack is currently masked by the narrative of order growth and production expansion, but it has not been completely eliminated.
For observers of the Chinese market, the counter-trend rally of AAOI in this instance is noteworthy not so much for the magnitude of the price increase, but for the direction of internal market fund differentiation. When the AI meta-narrative first showed signs of cracking, the fact that funds were willing to buy AAOI at the same time Broadcom was plummeting suggests a certain judgment – that Broadcom’s issues are not synonymous with a broader AI capex problem, and that optical communication is still recognized as a “physical bottleneck” narrative. Whether this judgment is accurate will ultimately depend on the actual financial reports over the next few quarters.
[BlockBeats]
AAOI’s Counter-Surge Amid AI Sector Crack: Implications for Crypto Infrastructure Tokens
The recent market turbulence triggered by Broadcom’s earnings guidance has created significant ripples across the AI ecosystem, with AAOI’s counter-trend performance offering valuable insights for crypto investors navigating the evolving AI infrastructure narrative. This divergence isn’t merely a traditional market anomaly but a prescient signal for how the market is beginning to differentiate between various components of the AI value chain—a differentiation that will inevitably extend to related crypto tokens.
The Broadcom Catalyst and AI Narrative Cracking
Broadcom’s guidance failure represents the first significant crack in the AI valuation narrative, not because its performance was poor, but because it failed to meet inflated expectations. The market’s reaction—evaporating $300 billion in market cap in a single day—reveals how precarious the AI investment thesis has become when built on expectations of perpetual exponential growth. More importantly, the specific concerns raised—Google diversifying its supply chain and gross margin pressure from chip expansion—highlight the vulnerability of customer-concentrated, custom ASIC models.
This isn’t a systemic rejection of AI but rather a recalibration within the sector. The Dow Jones hitting new highs while tech stocks lag indicates a rotation toward traditional value, suggesting that investors are becoming more discerning rather than risk-off. For crypto investors, this signals that indiscriminate AI token accumulation may be giving way to more nuanced differentiation.
AAOI’s Resilience: The Optical Communication Thesis
AAOI’s 11.76% surge amid the Broadcom-led sell-off is particularly telling. The stock’s extreme volatility—four 10%+ daily swings in the past 30 days—reflects a “strong narrative, weak earnings” tension that characterizes many high-growth tech assets. However, its counter-movement suggests that the market is beginning to isolate optical communication as a distinct sub-narrative within the broader AI ecosystem.
The fundamental drivers of AAOI’s strength—cumulative orders exceeding $324 million for 800G/1.6T optical modules, capacity expansion plans, and analyst upgrades—highlight a critical insight: optical components represent a structural bottleneck in AI infrastructure. Unlike custom ASICs, optical communication is a physical constraint with longer lead times and less substitutability. This “physical bottleneck” thesis is directly transferable to crypto infrastructure tokens, particularly those focused on decentralized physical infrastructure networks (DePIN).
Crypto Market Implications: DePIN and AI Infrastructure Tokens
The Broadcom-triggered rotation offers three critical lessons for crypto investors:
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Differentiation Within AI Crypto: Just as the market is differentiating between Broadcom (customer concentration risk) and AAOI (physical bottleneck), crypto investors should distinguish between AI compute tokens (potentially vulnerable to similar concentration risks) and infrastructure bottleneck tokens (more resilient). Projects providing essential physical infrastructure components—whether optical, storage, or specialized compute—may outperform pure play AI tokens.
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Execution Premiums Matter: AAOI’s weakness in Q1 earnings despite strong order flow underscores the importance of execution capability. For crypto projects, this translates to prioritizing teams with proven development track records over those with ambitious roadmaps but limited delivery. The market is increasingly demanding results, not just promises.
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Valuation Discipline is Returning: The Broadcom sell-off demonstrates that even dominant players aren’t immune to valuation corrections. Crypto projects trading on AI narratives without clear revenue models or user adoption may face significant corrections as traditional markets impose discipline.
Opportunities in the Post-Broadcom Environment
The market’s differentiation creates specific opportunities for crypto investors:
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DePIN Infrastructure Tokens: Projects focused on decentralized physical infrastructure—particularly those addressing optical communication, specialized compute, or storage bottlenecks—may benefit from the “physical bottleneck” narrative gaining traction. These tokens represent direct exposure to the physical constraints that AAOI leverages.
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Alternative AI Infrastructure: As traditional AI infrastructure providers face scrutiny, decentralized alternatives that offer customer diversification and reduced concentration risk may attract premium valuations. Crypto projects enabling distributed AI compute or data processing could be positioned as solutions to the very concerns that triggered the Broadcom sell-off.
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Revenue-Generating AI Crypto: Unlike many AI stocks that promise future profitability, some crypto projects are already generating revenue. These may be increasingly favored as the market shifts from pure growth to growth with profitability.
Risks to Monitor
The current environment also presents significant risks:
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Narrative Overcorrection: The market may overcorrect away from AI-related tokens, punishing even fundamentally sound projects. Discernment between different AI sub-sectors will be crucial.
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Execution Risk Amplification: As seen with AAOI’s delayed 800G production, execution risks are magnified in high-expectation environments. Crypto projects with ambitious roadmaps but limited traction may face harsher sell-offs.
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Regulatory Spillover: Traditional AI market cooling could increase regulatory scrutiny on related crypto projects, particularly those offering unregistered securities through tokenization.
Conclusion: The New AI Infrastructure Hierarchy
The Broadcom-triggered market rotation isn’t signaling the end of AI investment but rather the beginning of a more sophisticated differentiation within the ecosystem. For crypto investors, this means moving beyond generic “AI token” classifications and understanding the specific value proposition within the AI infrastructure stack.
The resilience of optical communication assets like AAOI suggests that crypto tokens addressing physical bottlenecks—particularly those with clear utility, limited substitutability, and real-world adoption—may outperform in this environment. As the market increasingly values execution over narrative, crypto projects with tangible products and growing user bases will be positioned to weather the evolving AI investment landscape.
The key takeaway isn’t to abandon AI-related crypto tokens but to apply the same discernment the traditional market is now applying: separate the customer-concentrated, execution-risky components from the physical bottleneck providers, and allocate accordingly.