Micron Q3 FY2026: $41.5B revenue (+346% YoY), 84.9% gross margin; 16 supply contracts worth up to $1 trillion cumulative lifetime value and $22B cash guarantees.

On June 24, memory-chip giant Micron Technology released its fiscal 2026 third-quarter earnings. The company reported third-quarter revenue of $41.5 billion, up 74% sequentially and 346% year-over-year, marking a fifth consecutive quarter of all-time highs. The combined gross margin reached 84.9%, up 10 percentage points sequentially, while operating cash flow hit $25.4 billion and free cash flow reached $18.3 billion — both quarterly records.

Beyond beating market expectations, Micron disclosed details of 16 supply and collaboration agreements (SCAs) in its earnings and subsequent call, stating that even at the lower end of pricing, the aggregate value of signed orders over the contract lifecycle exceeds $100 billion, with agreements locking in $22 billion in cash collateral and financial commitments.

Buoyed by the upside surprise and the tailwind of billion-dollar long-term contracts, Micron's stock surged as much as 16% in after-hours trading, ultimately settling in the 14%-16% range. The company's outperformance catalyzed broad gains: Chinese A-shares in semiconductors, computing power, and other AI-chain subsectors rose across the board, while Korean markets rallied in tandem, with Samsung Electronics and SK Hynix each closing up 5% and 13% respectively.

Notably, as the global AI-chain bull market forges ahead, gold—which has consistently provided investors with solid returns in recent years—has begun to soften. COMEX gold futures peaked above $5,600 per ounce in late January, then entered a volatile correction. After sustained declines, gold has since broken below the $4,000 per ounce level.

On the surface, the AI chain and gold prices have traced mirror-image trajectories in recent weeks. This raises the question: Is the AI-chain bull market a core driver of gold's weakness? And how will the AI-chain narrative unfold going forward?

From the perspective of A-share trading patterns, capital is steadily migrating from large-cap value to small-cap growth. Trading data shows that the Science and Technology Innovation Board (STAR Board) and ChiNext have both staged multi-year bull runs, with tech and growth indices like STAR 50, Tech 50, and Growth Tech notably outperforming broad-market benchmarks. As these bull markets advanced, combined trading volume in the two boards has climbed as a share of total market volume (excluding Beijing Stock Exchange and on-exchange ETFs).

At the thematic level, the STAR and ChiNext bull markets have been driven primarily by sustained high profitability in AI-chain subsectors such as computing power and semiconductors, alongside tailwinds from new-energy and high-end manufacturing themes. The concentration of trading volume clearly reflects current focus on these hot themes—specifically, information technology centered on AI—with the sector's share of total trading volume continuing to climb, hovering above 40% in recent months and occasionally approaching 50%.

Meanwhile, crowded trading has pushed sector divergence to extremes. As of June 24, only 11 of the Shanghai-Shenzhen 300's 31 primary sectors showed positive returns year-to-date; among most sectors posting losses, commercial retail, agriculture, beauty and personal care, and food and beverage have fallen continuously and now approach or fall below the March 2024 lows (Shanghai Composite near 2,600).

This sector divergence is mirrored in valuations: on one side, AI-related indices like STAR 50, semiconductors, and communications equipment have seen their PE-TTM valuation percentiles rocket to the 80th-plus percentile within months; on the other, underperforming sectors trade at valuations below the 40th percentile—notably food and beverage, once a darling, often sits below the 10th percentile.

The valuation divergence appears less extreme than the price action, primarily because discarded sectors like consumer and healthcare have shrinking numerators while deteriorating fundamentals shrink denominators in tandem, so valuation percentiles decline modestly or remain elevated. Meanwhile, the surging AI sectors see not only rising numerators (high industry profitability and expectation fulfillment) but also surging valuations driven by capital inflows, with some sectors hitting 100th-percentile valuations as they make new highs continuously.

The liquidity reallocation playing out in A-shares mirrors a global capital market trend. In the U.S., the capital migration is stark: recent inflows concentrate in semiconductors and technology hardware within information technology, while outflows accelerate from energy, healthcare, food and beverage, tobacco, and software and services. This is reflected in performance: the Philadelphia Semiconductor Index has surged 90% year-to-date, with valuation percentiles climbing to the 80th.

A second hallmark of this capital reallocation is the concentration of flows toward marquee leaders. Nvidia's market cap once exceeded $5 trillion, and the surging Micron entered the trillion-dollar club this year. In Korea, the bull market is tightly bound to Samsung Electronics and SK Hynix, which together command over half of total market capitalization. Domestically, AI-chain leaders like Zhongi Xuanchuang and Foxconn have also broken the trillion-RMB market-cap threshold.

Crucially, the AI chain's siphoning effect extends beyond equities into cross-asset flows. According to the World Gold Council, global tech ETFs saw their largest monthly inflow since 2024 in May, while global gold ETFs faced yet another round of substantial outflows.

For investors, the AI-chain bull market has delivered consistent excess returns with far superior profit-taking opportunities versus a struggling gold market, causing defensive portfolios that allocated gold as a volatility hedge to continuously pivot toward high-growth tech, triggering consecutive months of net outflows from global gold ETFs and amplifying downward pressure on gold prices.

Thus, while gold's persistent declines stem fundamentally from rising rates and rising inflation expectations, the sustained global capital inflow into the AI chain is an equally significant and often-underestimated drag on gold.

Global capital is assigning a higher valuation multiple to the AI chain, particularly hardware-related segments like computing power and semiconductors that are in structural bull markets—not due to simple speculation, but as a result of multi-dimensional, multi-layered logic converging into a medium-to-long-term industrial trend.

First, the AI chain's fundamentals remain broadly robust and relevant industries are in profitable cycles, providing core support for this structural bull market. Consider the U.S. market: among Nasdaq and S&P 500 constituents, the proportion of profitable AI-related enterprises in 2026 Q1 reached 48% and 25% respectively, far exceeding the ~3% peak during the dot-com bubble of 2000. Bellwethers like Nvidia and Micron consistently exceed earnings expectations, dispelling investor concerns that AI-chain companies are "burning cash without profit."

In sharp contrast, food and beverage, agriculture, and retail sectors suffering from the AI chain's strong siphon face sluggish demand recovery, intensifying competition, and limited long-term growth. Therefore, the premium valuations the market assigns to the AI chain reflect not only a bet on a new technological revolution but also investors' stronger willingness to allocate to high-growth sectors given fundamental comparative advantages.

Second, stock gains and their profit-taking effect are core drivers of capital migration and liquidity reallocation. The AI chain's sustained surge, consistent delivery of excess returns, has triggered widespread fear of missing out, prompting existing capital to reduce holdings in traditional sectors while increasing positions in core AI-chain assets like semiconductors and computing power. New capital continues to enter as well, exemplified by recent overseas fund launches tied to SpaceX.

From a macro interest-rate perspective, elevated long-duration U.S. Treasury yields have weighed on most asset classes, yet the AI chain and gold have diverged sharply—essentially reflecting how, under the influence of profit-taking, excess return expectations have partially trumped interest-rate risk. The underlying logic is:

Rate shifts alter financing conditions; higher rates present clear headwinds for capital-intensive tech sectors. Furthermore, AI-chain enterprises have begun tapping debt markets for financing this year, amplifying sensitivity to rate movements. While recession expectations have factored into broad asset prices to some degree, amid sustained AI industry strength, investor sentiment remains relatively optimistic. The prevailing market view is that the extraordinary excess returns from an AI boom vastly exceed marginal cost increases from rate hikes.

The intense positive feedback in capital markets following Micron's earnings reflects, at its core, a market vote on the storage industry's transition from "cyclical trading" to "long-term contracts" and the valuation reframing this entails. Judging from Q1 AI-chain profit performance, earnings growth and profit quality are both strengthening in tandem; Micron's latest earnings provide crucial evidence for validating AI-chain profitability in the Q2 window.

This reaffirms that earnings delivery is foundational to this AI-chain structural bull market—and a fundamental distinction from the 2000 dot-com bubble.

From an industrial narrative angle, it is precisely the AI mega-cycle that has driven storage, optical modules, and PCBs—the core infrastructure segments—to continuously defy market preconceptions over the past two years. Supply-side hard constraints have markedly improved earnings visibility, allowing these sectors to collectively transcend traditional cyclical positioning and enter a new growth spiral of "expectations fully priced—earnings validated—valuation reframed." The business cycle's duration has been extended accordingly.

Accordingly, market focus has shifted entirely: from whether demand is sufficient or sustainable to how long storage supply constraints can persist. Moreover, the "supply-demand mismatch" in these critical segments is reshaping entry barriers across the AI hardware chain. Top-tier enterprises have locked in higher-certainty growth through long-term contracts, advance payments, and joint R&D partnerships, signaling that industry spoils are concentrating at scale and technology-advantaged leaders—the fundamental reason why seminal enterprises have become capital pools in the equity market.

Supply-demand tightness at the industrial level provides durable support for cycle extension. As global AI-chain capital expenditure increases and production capacity expands, supply-side tightness will persist through 2027 and beyond. Not until 2028 will supply begin improving marginally, allowing AI's robust long-term demand to provide a floor, thereby stretching the profitability cycle. The AI-chain bull market under this growth logic will thus continue.

Though the AI chain's medium-to-long-term profitability confidence is strong, this tech rally has entered a high-volatility phase driven by two core factors:

1. Tech stocks are classic high-beta assets, highly sensitive to interest-rate movements and sentiment swings. Any shift in Federal Reserve expectations or periodic cooling in sentiment could trigger sharp sector corrections.

2. Current market capital is heavily concentrated in the AI chain. Should earnings crises, geopolitical risks, or other negative catalysts materialize, herding could trigger coordinated stampedes, causing violent swings in the AI sector and the broader market.

Turning to gold's outlook, as the AI-chain bull market persists, the K-shaped divergence between tech and gold will sharpen. On one hand, the AI chain's sustained capital siphon continues to drain market liquidity, compounded by consensus pessimism on gold; under profit-taking effects, large allocators are steadily exiting gold and pivoting to high-growth tech.

On the other hand, as geopolitical tensions ease, hedging demand weakens. Rising inflation and rate expectations compound the problem, causing gold's traditional safe-haven attributes to fade temporarily. Additionally, slower central bank gold purchases erode fundamental support. Across these headwinds, gold's outlook tilts toward weakness, with a bull trend becoming increasingly unlikely.

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