Summary of Key Points
Artificial Intelligence (AI) is reshaping the value landscape of the U.S. stock market: In the past, the top ten largest companies by market value always included traditional industries such as Berkshire Hathaway, Walmart, and oil companies; however, this has now completely shifted to technology and AI infrastructure firms like NVIDIA, Microsoft, and Apple. Behind this shift is capital's expectation that AI will become the new foundation of future technologies, leading to massive bets on companies that will define the technological landscape of the next decade. However, there are also concerns regarding market concentration, a mismatch between AI investment and profits, potential overcapacity in infrastructure, and the systematic undervaluation of traditional industries.
1. The “Great Rebirth” of the Top Ten U.S. Stock Market Companies: Traditional Players Are Out, AI Firms Dominate
Previously, among the top ten largest companies by market value in the U.S. stock market, you would find insurance providers like Berkshire Hathaway, oil companies like ExxonMobil, and retail giants like Walmart. Today, the list is dominated by technology and AI-related firms: NVIDIA (a leader in AI computing power), Microsoft (AI cloud services + GPT), Apple (hardware + AI ecosystem), Google (AI cloud services + large-scale models), Amazon (AI cloud services), TSMC (AI chip manufacturing), Broadcom (AI networking chips), Meta (AI infrastructure), Tesla (AI for autonomous driving), and newly entered companies like Micron (AI storage). For example, Micron’s market value increased by $20 billion in just one day, overtaking Eli Lilly to make it into the top ten—this is not a coincidence but a result of the AI trend.
2. From “Cycle Stocks” to “Hot Targets for Investors”: The Story of Micron’s Comeback
Micron was once a typical cycle stock, with storage chip prices fluctuating greatly and the company suffering losses during economic downturns, which hindered its valuation. But with the rise of AI, everything has changed. Large-scale model training requires large amounts of high-bandwidth memory (HBM), and as GPUs become more powerful, the demand for HBM increases, making it one of the most scarce resources in the AI supply chain. Now, Micron is no longer just a “storage vendor” but an “AI infrastructure provider.” Its market value has increased by eightfold in the past 12 months! Financial figures are even more impressive: revenue grew by 196% in the second quarter of fiscal year 2026, net profit nearly ninefold, and gross margin soared from 36.8% to 74.4%, with expectations for an even higher figure in the third quarter. Analysts say that AI is “structurally changing” the storage industry, warranting higher valuations for these companies.
3. The Logic of Capital Has Changed: AI Has Become the New Infrastructure, Just Like Steel and Oil in the Past
Why do these AI firms dominate the market? Because capital is now betting on the infrastructure of the next decade. In the past, this infrastructure consisted of railways, oil, and banks; today, it includes GPUs (computing power), HBM (storage), and data centers (cloud services). The current top ten companies essentially represent the core components of AI infrastructure: NVIDIA provides computing power, TSMC manufactures chips, Broadcom develops networking chips, Micron supplies storage, Microsoft/Google/Amazon operate AI cloud platforms, Meta invests heavily in AI infrastructure, and Tesla applies AI to autonomous driving and robotics. Naturally, capital is willing to offer high valuations to these companies.
4. Three Major Concerns Behind the AI Boom: Opportunities Come with Risks
1. Market Concentration: A Fall Could Be Painful: The S&P 500 index’s performance is largely driven by a few tech companies, with NVIDIA alone accounting for 8% of its market value. If AI-related capital spending slows down (for example, if companies realize that AI is not as profitable as expected), the entire market could experience a significant drop.
2. High Investment, Low Returns: Tech giants are planning to spend over $700 billion on AI this year, but the profitability of AI initiatives is still unclear. While companies like Meta and Google have exceeded expectations in their financial reports, Meta’s increased AI spending led to a significant loss in market value, while Google’s stock price rose. Investors are questioning whether such investments will pay off in the long term.
3. Potential Overcapacity in Infrastructure: U.S. tech companies are currently investing heavily in data centers and purchasing GPUs, leading to concerns about potential overcapacity. History has shown that industries like railways and fiber optics have experienced situations where excess capacity was created but not utilized. Could the same happen with AI infrastructure? It’s uncertain.
4. Undervaluation of Traditional Industries: Although traditional companies like Berkshire Hathaway have been marginalized from the top ten, their businesses in insurance, railroads, and energy are still profitable. However, capital prefers the “potential” offered by AI.
5. The Future Is Yet to Be Written: New Players Like SpaceX Are on the Horizon
In the coming months, the top ten list could change further. SpaceX’s market value is expected to reach $1.25 trillion, and companies like OpenAI and Anthropic may go public, potentially altering the current ranking. AI’s demand for computing power and storage will continue to grow as technology evolves. Traditional industries lack disruptive growth momentum, so a long-term trend is a shift in market value towards tech firms. In short, AI-related companies are likely to maintain a stronger position among the top ten largest companies by market value over the next few years.
In summary, this wave of AI is not only transforming the technology industry but also reshaping the rules of the capital market. Those who control the infrastructure of AI will dominate market value. However, we must also be cautious about the risks associated with this overheated trend. For ordinary investors, these changes reflect the direction of the times: when AI is in the spotlight, capital follows.
---
This translation maintains the original Markdown structure and uses natural, financial journalism-style language that resonates with readers familiar with financial news. It adapts expressions to fit the target audience while ensuring that technical terms are accurately and consistently translated.