Rare divergence between the US stock market and the crypto market: How does the sharp decline in Broadcom change the capital flow between AI chip stocks and BTC?

Eastern Time, June 3 after market close, Broadcom announced its fiscal 2026 second quarter earnings report, which is a performance that is “half better than expected, half below expectations.” From a fundamental perspective, Broadcom’s Q2 total revenue reached $22.19 billion, up 48% year-over-year, hitting the highest single-quarter growth rate in nearly a decade; adjusted earnings per share were $2.44, surpassing market expectations of $2.39. AI semiconductor business revenue for the quarter hit $10.8 billion, a surge of 143% year-over-year.

However, the market’s focus is not on the achieved performance but on future guidance. Broadcom’s forecast for AI chip sales in the third quarter is about $16 billion, significantly below analyst expectations of $17.2 billion, a gap of $1.2 billion. What disappointed investors even more was that the company did not raise its AI semiconductor sales forecast for fiscal 2026, only reaffirming the goal of AI revenue exceeding $100 billion in fiscal 2027.

On the eve of the earnings release, market expectations for Broadcom had already been pushed to very high levels— the company's stock price had consecutively hit record highs for several trading days, with a year-to-date increase of over 38%. When actual guidance diverges significantly from market expectations, a chain reaction is triggered: Broadcom’s stock plummeted over 12% in after-hours trading, with a single-day market cap evaporating about $286 billion.

From a single stock to the entire sector: How is the chain of cascading declines formed?

Broadcom’s decline was not confined to a single stock but quickly spread to the entire chip industry. Semiconductor companies like Micron Technology, Arm, AMD faced similar selling pressure. Micron experienced its largest single-day market cap loss in company history, and AMD fell over 3.5%. The selling pressure mainly concentrated on stocks with historically high valuations and recent large gains, even affecting non-chip tech companies like Dell and Huiyu Technology.

Looking at the performance of the three major US stock indices, the divergence is very pronounced. The Dow Jones Industrial Average rose 874.86 points, or 1.73%, to close at 51,561.93, hitting a new all-time high. The driving forces behind the Dow’s rise came from traditional sectors like healthcare (+3.16%) and finance (+2.68%). Meanwhile, the Nasdaq fell 23.02 points, or 0.09%, to 26,830.96; the S&P 500’s technology sector declined 1.43%, and semiconductor ETFs fell 1.63%.

This clear divergence reveals a structural change in the market. Capital has not exited the overall market but has undergone large-scale reallocation—flowing out of the overvalued AI chip sector and into relatively undervalued traditional cyclical sectors. This capital rotation is a natural correction of overheated technical conditions and a signal that investors are re-pricing the sustainability of the AI narrative.

Crypto markets also under pressure: Where does the linkage of risk asset contagion come from?

The linkage between Broadcom’s earnings event and the crypto market is not due to direct industry chain connections but stems from the unified risk asset pricing framework. Essentially, the crypto market is a second-order function of global liquidity and risk appetite.

From June 4 to 5, Bitcoin experienced its most intense downward pressure in months. Bitcoin briefly fell to $61,397, the lowest since early February, with a weekly decline of over 14%. Ether also weakened, hovering around $1,700, approaching a 52-week low. As of June 5, 2026, according to Gate data, Bitcoin’s current price is in the $62,000–$63,000 range, and the overall market sentiment index dropped to 12, in the extreme fear zone.

Alongside the tech sell-off triggered by Broadcom, the decline in crypto markets also exhibits structural features. Long leverage positions faced large-scale liquidations; CoinGlass data shows nearly $4 billion in bullish bets were forcibly liquidated this week. This indicates that in an environment of risk aversion, leverage across different asset classes is under similar stress tests.

The logic of capital pool competition between AI narrative and crypto narrative: what is it?

The market is undergoing a typical process of capital reallocation. Over the past 12 months, stocks related to AI chips have generated sustained excess returns, attracting increasing institutional and retail capital inflows. A significant portion of this capital was originally allocated to crypto assets.

A more intuitive signal comes from ETF fund flows. The US spot Bitcoin ETF has recorded net outflows for 13 consecutive trading days, with a total withdrawal of about $4.4 billion, marking the longest continuous capital withdrawal since the ETF was approved and launched in January 2024. Meanwhile, semiconductor-related ETFs have continued to see net capital inflows.

Market maker Wintermute issued a warning in a report: the large-scale capital demand from the AI industry may compress liquidity in the crypto market. When chip and data center financing absorbs a limited capital pool, the order books for risk assets could thin out, bid-ask spreads widen, and price volatility increase.

The core mechanism of this capital siphoning effect is that the AI chip sector offers a higher-growth narrative with more “fundamental support” compared to the crypto market. For institutional investors, allocating to AI stocks can achieve similar high-growth resilience while avoiding the additional risks associated with crypto markets, such as regulation and volatility.

How does the overvaluation of AI chip stocks compare to the crypto industry?

The Broadcom plunge warrants deep reflection for the crypto industry, not only on the spillover effects of capital flows but also on the homology of narrative logic.

The previous rise of AI chip stocks shares a high structural similarity with the bull market cycle of the crypto market: both are built on an “infinite growth narrative,” with valuations highly sensitive to expectations rather than fundamentals, and market sentiment easily reinforcing itself. BTIG analysts pointed out that the relative strength index of the S&P 500 Information Technology index recently reached 82, far above the 28% of the 200-day moving average, an extreme technical signal rarely seen since 1990.

This overvaluation and correction pattern is not unfamiliar in the crypto market. When market expectations for a certain narrative are driven far beyond what fundamentals can support, any signals below the most optimistic expectations can trigger sharp adjustments. The current Broadcom adjustment is not due to deteriorating fundamentals—its actual Q2 performance remains strong, with AI revenue up 143% YoY—but because “expectations were broken”: market guidance continued to be upward, but actual guidance remained unchanged.

Investors in crypto should pay attention to this mirror relationship of valuation logic: when the AI narrative faces expectation correction, the conditions for capital reflow into crypto markets are also changing.

Do historical precedents of cross-market rotation offer clues?

Historically, cross-market capital rotation is rarely a unidirectional linear process but tends to evolve through multiple stages.

The first stage is a broad contraction of risk appetite. When a core narrative sector experiences a sharp correction, investors systematically reduce risk exposure, and risk assets—including crypto—usually come under pressure simultaneously.

The second stage involves dispersive reallocation. As market sentiment stabilizes, capital begins to seek new valuation troughs. During this phase, divergence among assets widens significantly, and those with solid fundamental support may be the first to attract capital back.

The third stage depends on the relative attractiveness of assets. If the AI sector continues to adjust downward while the risk-reward profile of crypto improves, there is potential for capital to flow back from AI to crypto.

Currently, the market may be transitioning from the first to the second stage. Citigroup analysts note that the key catalyst for renewed interest in Bitcoin—regulatory progress—remains uncertain, and short-term sentiment is expected to stay subdued.

How will the trend of AI chip stocks influence crypto market sentiment?

Looking ahead, the trend of AI chip stocks remains an important variable for observing crypto market sentiment. While there is no strict causal link, there is a significant risk appetite resonance.

A potential turning point in the market is: if the correction in AI stocks prompts investors to reassess the sustainability of growth narratives, some of the funds previously attracted by the AI narrative might flow back into crypto markets. This rotation will not happen overnight; it requires a series of conditions—such as a prolonged sideways or downward trend in AI stocks, new catalysts in crypto (like regulatory breakthroughs or application scenarios), and marginal improvement in macro liquidity.

Bitwise Europe research director Andre Dragosch pointed out that the crypto market’s sentiment index has triggered a contrarian buy signal, and extreme sentiment often correlates with potential bottoms historically. However, it should be noted that sentiment indicators are only one of many reference variables, and the actual market direction still depends on macro liquidity and the pace of capital reallocation.

The next key window to watch is the change in US macro data, including employment reports and inflation figures, which will influence the overall pricing framework for risk assets globally.

Summary

Since early June, the US stock market has shown significant structural divergence. On one hand, Broadcom’s weaker-than-expected guidance triggered a sharp correction in AI chip stocks, with clear capital outflows from the semiconductor sector; on the other hand, traditional sectors represented by the Dow Jones Industrial Average continued to hit record highs. Behind this divergence is the parallel advancement of expectations correction and capital reallocation within the global risk asset pricing system.

In this process, the crypto market also came under pressure. Bitcoin declined over 14% this week, approaching the key support level of $60,000, with ETF fund outflows continuing for more than 13 trading days. The market structure indicates a significant capital competition between AI and crypto narratives, both relying on global liquidity and risk appetite, but AI stocks have more transparent fundamental support.

The core of Broadcom’s plunge is the market’s first collective valuation reassessment of the “limitless growth narrative” of AI. It reveals the fragility of high-growth sectors in an overheated valuation state—any signal below the most optimistic expectations can trigger a sharp correction. For crypto investors, this event offers a profound reminder about the valuation logic of narrative-driven assets, beyond the short-term impact on capital flows.

In the current environment, short-term crypto asset movements will remain highly correlated with global risk appetite and capital flows. The real market turning point may require a dual resonance: cooling of the AI narrative and the emergence of catalysts within the crypto market itself.

FAQs

Q: Is there a direct causal link between Broadcom’s stock plunge and the decline in the crypto market?

No, there is no direct causal relationship at the industry chain level. The linkage mainly occurs through risk appetite resonance and capital competition—when core AI stocks are heavily sold off, investors systematically reduce risk exposure, leading to leverage liquidations and pressure on crypto markets; simultaneously, AI as the most attractive high-growth narrative continues to attract institutional capital, indirectly weakening capital inflows into crypto.

Q: What are the common structural features between the current crypto market correction and the AI chip sector correction?

Both are driven by “expectation correction” rather than fundamental deterioration. Broadcom’s actual Q2 performance remains strong, with AI revenue up 143% YoY, but the market focuses on whether guidance is “good enough.” Similarly, the crypto market’s correction reflects sentiment and liquidity shifts more than on-chain fundamentals or adoption data deterioration.

Q: When might capital flow back from AI stocks to crypto?

Capital reflow requires three conditions: prolonged sideways or downward movement in AI stocks, the emergence of independent catalysts in crypto (such as regulatory breakthroughs or large-scale application adoption), and marginal improvement in macro liquidity. Currently, these conditions are not fully met, and the direction of capital rotation remains structurally divergent.

Q: What is the current position of the crypto market in the global capital competition?

Currently, global risk asset capital is highly concentrated in AI infrastructure investments, with projected large-scale AI spending reaching $650 billion by 2026. The crypto market faces dual pressures of relatively weakened narrative attractiveness and net capital outflows. However, historical experience suggests that after valuation bubbles in dominant narratives are somewhat digested, capital begins to reassess the relative value of other assets.