Which Sectors or Companies Offer Greater Recovery Resilience After the Slump Caused by Intensified AI Bubble Concerns?

The core reason for Broadcom's plunge was not weak earnings performance, but rather that market expectations had been pushed to extremely elevated levels. Prior to the report, Broadcom's share price had surged more than 65% from its early April low, with a year-to-date gain of nearly 40%; its market capitalization increased by approximately $270 billion in just the five trading days preceding the earnings release.

Analysts' consensus for third-quarter AI semiconductor revenue was $17.2 billion, but Broadcom provided guidance of only $16 billion. CEO Hock Tan declined to raise the fiscal 2027 AI revenue guidance during the earnings call, merely maintaining the target of over $100 billion, which was viewed as falling short of market expectations.

Market expectations were already sky-high, and any guidance that was not a blowout beat could trigger profit-taking. The Philadelphia Semiconductor Index tumbled as much as 6% during intraday trading.

Meanwhile, the Dow Jones Industrial Average rose to hit a new all-time high, indicating that capital was not exiting the stock market but was instead rotating from the technology sector into areas such as financials and consumer goods.

The true fundamentals of the semiconductor sector—the AI CAPEX cycle—have not signaled an inflection point. Broadcom's $100 billion AI revenue target for 2027 remains intact, as does the fundamental narrative of hyperscale customer orders being locked in through 2028. This sell-off is more of a clearing of the sentiment premium rather than a trend reversal.

Looking at the pullback structure, different sub-sectors within the AI space are undergoing a distinctly tiered valuation reshaping. The extent of the recovery potential depends on fundamentals and the certainty of the recovery.

In segments where long-term orders are locked in and capacity is highly constrained, pullbacks are primarily a sentiment-driven washout and offer the strongest rebound momentum; meanwhile, for assets priced solely on forward expectations, valuation recovery will take longer during periods of policy tightening.

HBM memory chip sector, such as SanDisk, Micron Technology, and South Korean firms like SK Hynix.

The demand gap remains large, and the rebound potential is the highest. HBM demand for AI servers is already booked through 2027, with SK Hynix capacity pre-locked by NVIDIA. HBM4 is set to enter mass production ramp-up in 2026. The supply-demand gap is expected to persist until at least 2028, making this the sector with the highest certainty. Consequently, there is substantial room for valuation recovery following the correction. Given its exceptionally strong fundamentals, the extent of the recent decline has been severely excessive, representing 'mispriced' assets caught in the panic of AI bubble sentiment.

ASIC custom chips, such as Broadcom and Marvell Technology.

Supported by a $100 billion target for 2027. Broadcom's AI semiconductor revenue guidance for 2027 remains unchanged at over $100 billion. Combined with long-term orders locked in through 2028 from six top-tier customers including Google, Meta, and Anthropic, its long-term fundamental certainty remains firm.

Bolstered by Jensen Huang's endorsement, Marvell has also entered the mass production ramp-up phase for orders from hyperscale customers in the AI optical interconnect space.

Optical communications/optical interconnects, such as Lumentum and Ciena.

The supply-demand gap in optical communications exceeds 30%, with capacity sold out through 2028. In mid-May, the CEO of Lumentum made the startling claim that capacity through 2028 was sold out in just two quarters, causing the U.S. AI optical communications sector to surge earlier this year.

This correction represents a sector-wide mispricing. While Ciena plummeted nearly 16%, its cloud service customer business still grew 69% year-over-year, and order visibility for Lumentum and POET remains strong. For long-term investors, this pullback in such assets likely represents a 'golden opportunity' window where fundamentals remain unchanged.

Based on the above analysis, the recovery resilience following the current AI chip pullback is stratified across multiple tiers.

Highest recovery resilience: HBM memory and custom ASIC chips possess the strongest fundamental certainty. Their decline significantly exceeded the extent of any fundamental deterioration; thus, once market sentiment stabilizes, capital will first flow back into the sectors with the highest certainty.

Secondary recovery resilience: For optical communications and optical interconnects, order visibility extends to 2028, and customer capital expenditure plans continue to be revised upward. However, since equipment revenue recognition is slower, valuation digestion will take slightly longer.

Meanwhile, AI software and application-layer targets that rely on long-term narratives and lack locked-in orders will face intensified market sell-offs amid concerns over an AI bubble. Their recovery potential depends entirely on whether AI can transition from headlines into financial data, resulting in higher volatility and uncertainty.

The fundamental significance of the plunge in Broadcom and Ciena lies in the unwinding of overcrowded long positions within the AI sector. Over the past year, massive capital inflows into semiconductor and optical module themes pushed the PHLX Semiconductor Index to record highs, but also built an extremely crowded positioning structure.

As the U.S. enters a macroeconomic backdrop of rising inflation expectations, the market is undergoing a repricing of expectations, which is essentially a healthy market correction mechanism in action.

In the short term, the digestion of expectation gaps will continue to dominate market volatility. However, conducting granular research on core assets across the AI infrastructure supply chain and waiting for them to return to reasonable valuations is the best trade worth waiting for at this stage.

This content was translated using AI and reviewed for clarity. It is for informational purposes only.