Valuation Traps in the AI Super Cycle: Why Micron's Low P/E Might Signal a Cycle Peak?

The global semiconductor industry is currently experiencing a historic supply imbalance driven by generative artificial intelligence. In the first half of 2026, the financial report released by memory leader Micron (MU) has pushed the intensity of this super cycle to the forefront of public discussion. While the market debates whether "AI can sustain a longer cycle," investors are more concerned with an essential question: in the context of industry revenue doubling year-over-year, how to distinguish between a natural cyclical peak and the beginning of structural growth?

The Underlying Logic of the Semiconductor Cycle: Four Observational Dimensions of the Super Cycle Peak

The semiconductor industry has traditionally operated on a complete cycle of about 3 to 4 years. 2026 is precisely the peak year of this cycle. However, what makes this cycle special is that AI computing power investments have been rapidly released in a short period, significantly boosting the price elasticity of DRAM and high-bandwidth memory (HBM), while demand from traditional PCs and smartphones has not yet fully recovered, leading to clear internal industry differentiation.

Super cycle peaks typically exhibit the following four characteristics:

First, capacity utilization approaches physical limits, with price elasticity dominating revenue growth while output growth slows down. Currently, contract prices for DRAM have increased by 58% to 63% over the past quarter, a high level within historical peak ranges. Second, leading customers—namely, ultra-large data center operators—are experiencing a short-term capex peak. Industry forecasts show that in 2026, the total capital expenditure of the top five ultra-large manufacturers will rise from about $443 billion in 2025 to approximately $602 billion, a 36% increase, with about 75% directed toward AI-related semiconductors. Third, major competitors within the industry are simultaneously expanding capacity on a large scale, with supply responses beginning to catch up with demand. Micron’s net capital expenditure in Q2 of fiscal 2026 reached $5 billion, while Samsung Electronics and SK Hynix are also expanding capacity at similar scales. Fourth, after a significant increase in the company's earnings base, the marginal slowdown in year-over-year growth will trigger valuation reevaluation in a certain quarter.

It is important to note that this cycle differs from the historical "Silicon Cycle" in a key aspect. The consumption of memory in AI data centers is far higher than in the era of traditional general-purpose servers. The capacity of each generation of NVIDIA GPUs equipped with HBM continues to rise, constituting a structural demand increment. In other words, even if the growth rate of AI training investments slows at some point, the long-term memory consumption driven by inference could extend the platform period of this cycle.

Limitations of P/E Valuation in Cyclical Stocks: Why Low Multiples Might Be a "Trap"

When analyzing cyclical industries, the traditional Price-to-Earnings (P/E) valuation method has systematic biases, which are especially deadly at the cycle's peak.

Reviewing Micron’s valuation level in 2026: based on guidance for Q3 of fiscal 2026 and consensus earnings forecasts for the full year, the company's adjusted earnings per share are expected to be over $19. At the then-current stock price, the 12-month forward P/E is about 10 times. This is one of the core data points often discussed regarding Micron’s valuation.

Looking at this number alone, a forward P/E of 10 times is far below the Nasdaq 100 index’s average of about 22 to 25 times, seemingly implying room for stock price appreciation. However, the essence of this "low multiple" is based on peak earnings. When the cycle peaks, memory prices will decline, capacity utilization will decrease, and profit per unit will shrink, causing the company's EPS to fall rapidly over several quarters. At that time, even if the stock price remains unchanged or declines, the P/E relative to the new earnings level could expand significantly—leading to a phenomenon of "buying low P/E stocks at the cycle top and facing high P/E stocks at the cycle bottom." Some analyses point out that during the last memory downcycle, Micron’s stock price fell by over 70%.

Morningstar explicitly states a key logic in its valuation framework for commodity businesses: in an environment where commodity prices are rising, producers—due to fixed costs and financial leverage—have a valuation and stock price elasticity greater than that of the commodities themselves. Conversely, when commodity prices enter a downtrend, the contraction in company profits far exceeds the price decline. This explains why cyclical stocks require a different valuation approach from stable-growth companies.

Practical Application of Morningstar’s "Commodity Business Peak P/E" Framework in MU Risk Analysis

Applying Morningstar’s framework directly to Micron’s current stage yields the following judgment chain:

As a memory manufacturer, Micron’s products DRAM and NAND are highly standardized commodities, with pricing power dominated by supply and demand. The current performance surge is not driven by product differentiation or market share gains but by the historic premium realized by HBM in the AI accelerator supply-demand gap. This indicates that the company's profit structure is typified by "price dependence." Once supply-side bottlenecks ease, profit margins are likely to revert to the mean. Industry forecasts suggest that the HBM market will expand at about a 41% CAGR to roughly $100 billion by 2028, but this figure also reveals another fact—all major manufacturers see the same huge market opportunity and have been investing hundreds of millions of dollars in capacity expansion since 2025 to lock in market share.

When the three main memory manufacturers simultaneously expand capacity, and most orders from ultra-large-scale firms are locked in through long-term contracts until the end of 2026, bargaining power in subsequent contract negotiations will shift. In this scenario, excess supply re-emerging is not a black swan but an inherent cycle of the memory industry. For investors, the real risk is not Micron’s fundamentals deteriorating but the market assigning cyclical assets a low P/E during euphoric phases.

It’s important to note that cautious valuation judgment does not equate to denying investment opportunities. The key is to identify which stage of the cycle is suitable for what kind of strategy. Currently, the cycle is in a phase of strongest performance but with high uncertainty about future outlook. Any bullish logic based solely on low P/E ratios must be supplemented with ongoing monitoring of marginal supply-side changes and inventory levels.

Gate Launches Real Stock Trading: Connecting Traditional Markets with Stablecoins

In June 2026, Gate officially launched stock trading services, allowing users to trade over 10,000 stocks and ETFs listed on the NYSE and NASDAQ directly within their Gate accounts using USDT. This feature effectively opens a channel for crypto market users to manage both digital assets and traditional securities within a unified account system.

Compared to industry platforms supporting only a few hundred tokenized stocks, Gate’s stock trading covers assets from major US exchanges such as NYSE, Nasdaq, NYSE Arca, NYSE American, and BATS, and was the first to introduce 16×5 pre-market and after-hours trading, incorporating important price movements outside regular trading hours. Both Android and iOS platforms support this feature; after completing KYC, users can access the stock trading interface via the TradFi section within the platform.

Structurally, Gate’s stock trading adopts a compliant brokerage model in partnership with Alpaca, with stocks held directly in the user’s name and funds managed separately. For users extending from crypto markets into traditional assets, this compliant architecture reduces counterparty and platform credit risks. Since it involves direct spot holdings, Gate stocks do not incur overnight financing costs or funding rates typical of CFD products, lowering the long-term maintenance costs of holding traditional stocks.

For users interested in semiconductor cycle investment opportunities, Gate’s real stock trading offers the convenience of: using USDT to directly buy stocks of leading semiconductor companies like Micron, NVIDIA, AMD, or related ETFs, without switching platforms or experiencing delays from cross-market fund transfers through traditional brokers. The trading minimum is as low as 0.01 shares, with a minimum of $1 required to participate in well-known tech stocks, breaking the traditional dollar-based minimums of US stock trading.

Additionally, Gate has fully integrated a VIP tier system: holding a position of $2,000 or more qualifies for VIP status, offering a minimum stock trading fee of 0.023% and 1-on-1 customer manager services.

How to Participate in US Stock Trading on the Gate Platform

Operationally, users first need to complete KYC verification on Gate and ensure the service is supported in their region. After verification, log in to the Gate App (Android users should update to the latest version, iOS users to version 8.21.5 or higher), then go to the “TradFi” section and select “Stocks” to view real-time quotes and depth data for tradable US stocks and ETFs.

When executing trades, USDT in the user’s account will be used directly for margin and settlement. The system supports two main order types: market orders and limit orders. After execution, stock holdings are displayed within the Gate account as assets in the same name, alongside digital assets.

Dividends generated during stock holding periods will be automatically credited to the user’s Gate account without manual operation.

Conclusion

The semiconductor industry is undergoing a complex, highly divergent cycle. The growth driven by AI demand is real and robust, as evidenced by Micron’s record-breaking performance. However, the cycle will eventually turn, and the intuition that "low P/E equals cheap" can pose serious risks for cyclical assets. Understanding the valuation and profit elasticity logic within Morningstar’s framework for commodity businesses can help investors make more rational judgments at this stage.

Meanwhile, the launch of Gate’s real stock trading provides crypto-native users with a more convenient, low-threshold way to access traditional securities markets. In a financial environment where the two asset classes are increasingly intertwined, cross-market asset allocation capabilities are evolving from "optional tools" to "core skills." Whether for long-term value investing or tactical sector arbitrage, managing digital currencies and traditional stocks within a single platform is redefining the boundaries of individual market participation.