Summary of Key Points
This news article focuses on the financial reporting season of the “Big Seven” in the U.S. stock market—Amazon, Microsoft, Google, Apple, Meta, Tesla, and Nvidia. The core theme is that the AI competition has entered a new phase: whereas in the past two years, the focus was on who could spend the most money on building AI infrastructure (data centers, GPUs), the current emphasis is on who can convert AI investments into actual revenue and profits. Amazon has emerged as the biggest winner due to the explosive growth of its AI-related revenues from its cloud service, AWS, pushing its market value past $3 trillion. The performance of the other giants varies; some have already realized the value of AI, while others are still relying on future prospects. At the same time, the substantial investments in AI have put pressure on many companies’ cash flows, but they continue to invest. The key to success in the future will be the “Return on Investment (ROI).”
Detailed Analysis
1. The Shift in the AI Competition: From “Investment” to “Profit Generation”
In the past two years, investors were willing to support companies that invested heavily in AI—those with more data centers and GPUs saw higher stock prices. However, the market has become more pragmatic: the focus is now on whether a company can turn AI into tangible profits. For example, Amazon’s success in using AI to drive its cloud business (AWS) led to a 23% increase in its stock price. In contrast, Tesla’s stock price dropped by 28% as it relies on the future prospects of its Robotaxi (autonomous taxi) project. In other words, the focus has shifted from “who invests the most” to “who earns money first.”
2. Amazon’s $3 Trillion Secret: The Power of AWS’ AI Revenue
Amazon’s entry into the $3 trillion club is not due to its e-commerce or Prime membership services but rather the explosive growth of its AWS cloud business. AWS’s revenue increased by 37% (to $42.2 billion) in the second quarter, reaching a 18-quarter high. The AI and chip businesses generated annual revenues of over $25 billion, with more and more companies using AWS for AI training and inference tasks (such as developing models like ChatGPT). This led to a 15% increase in Amazon’s stock price on a single day, pushing its market value above $3 trillion, making it the fifth U.S. technology company to reach this level.
3. Divergent Performance Among the Big Seven: Who Is Realizing AI’s Potential, and Who Is Still Struggling?
The financial reporting season serves as a kind of mid-term assessment of AI progress. The performance of the seven giants (except for Nvidia, which has not yet released its report) varies significantly:
- Microsoft: Its cloud business (Azure) has seen record contract volumes due to high demand for AI services, demonstrating that AI can drive growth.
- Meta: Its advertising revenue has improved thanks to AI-powered recommendations, but its third-quarter earnings forecast fell short of expectations, causing its stock price to drop after the report was released.
- Google: Its cloud business is growing strongly, but its stock price still dropped by 3% after the report (as investors had higher expectations).
- Apple: Apple Intelligence is still in the early stages of development and has not directly contributed to revenue; it is considered a “potential stock.”
- Tesla: Its automotive business has slowed down, and its AI projects (Robotaxi, Optimus robot) are still dependent on future prospects, resulting in a 28% drop in its stock price.
The market no longer treats these companies as a group of “AI concept stocks” but evaluates their individual capabilities to generate revenue from AI.
4. The Cost of Investing in AI: Strained Cash Flows
Building AI infrastructure (data centers, chips) is extremely costly:
- The four giants (Amazon, Google, Meta, Microsoft) have planned capital expenditures of $730 billion this year, a 77% increase from last year (a record level).
- Amazon and Google experienced negative “free cash flows” in the second quarter, indicating they don’t have much extra money available. Google’s first-ever negative cash flow was due to heavy AI investments; Tesla’s cash flow also dropped by $1.09 billion (for the first time in over two years).
- Meta’s cash flow decreased by 91%, and although Microsoft’s is still positive, it is under pressure.
In short, the more money companies invest in AI, the less they have available for other expenses.
5. The Future Depends on ROI (Return on Investment)
The AI competition is not over; it has moved into a phase of focusing on efficiency:
- Bernstein (an investment bank) notes that if cloud providers invest $1 trillion in AI infrastructure, they will need $2.5 trillion in revenue to support these investments—the speed at which AI can be commercialized will determine the sustainability of these investments.
- Investors emphasize that in the next one or two years, whether it’s AI applications or robots, the key will be “who can generate sustained revenue,” not just how impressive the technologies are.
In summary, AI is no longer just a concept that requires convincing investors; it must be proven to be profitable. Only companies that can turn AI into actual revenue and profits will be recognized by the market. Those that continue to spend money without generating returns will be abandoned by investors.