Nvidia's Earnings Report Exceeds Expectations Again, the AI Boom Is Not Over Yet🔥🚀
On August 27th, Beijing time, Nvidia released its latest quarterly earnings report.
This earnings report remains very strong.
Nvidia's revenue for the quarter reached 96.2 billion dollars, more than doubling year-on-year; net profit reached 59.7 billion dollars, increasing by 126% year-on-year, both core figures significantly exceeded market expectations.
More importantly, the company's revenue guidance for the next quarter is set at 108 billion dollars.
This means that even though Nvidia has become one of the most watched AI companies in the world, the growth rate is still not showing any significant signs of slowing down.
However, the market's reaction is somewhat intriguing.
After the earnings report was released, Nvidia's stock price initially fell, but then quickly rebounded, rising by 4.4% in after-hours trading.
The question arises:
With such good performance, why is the market still not satisfied?
The Market No Longer Just Cares About "How Much Nvidia Earned"
In the past two years, the simplest logic of the AI market is:
AI demand growth → Data center expansion → Increased GPU demand → Nvidia's revenue and profit growth.
This logic still holds true.
However, as Nvidia's performance continues to break records, the focus of the market has begun to shift.
What investors are really concerned about now is:
Can Nvidia continue to exceed expectations in the future?
This is also why a very strong earnings report can still lead to a short-term decline in stock price after its release.
Because for high-valuation, high-growth companies, "good performance" is no longer enough.
The market needs:
Better than expected, and also to continue performing better in the future.
From this perspective, what is truly important for Nvidia this time is not the 96.2 billion dollars in revenue, but the company's judgment regarding future growth.
The Growth Expectations for the Next Fiscal Year Are What the Market Is Really Concerned About
Nvidia expects revenue growth of approximately 70% for the next fiscal year.
This figure is already quite astonishing.
More notably, the company stated that without supply constraints, revenue could even approach doubling.
This sends a very important signal:
The biggest limiting factor in the AI market right now may not solely be demand.
In other words, the demand for AI chips is still very strong, but whether Nvidia can convert all this demand into revenue is also limited by the supply chain, chip production capacity, and related hardware supplies.
This is also a new problem that the AI market will need to face in the next phase.
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AI Demand Has Not Disappeared, but the "Computing Power Arms Race" Is Entering a New Phase
Behind this earnings report, there is also a very noteworthy change.
Large tech companies continue to increase their investments in AI infrastructure.
Cloud computing companies, internet giants, and AI firms are consistently expanding their GPU deployment scale.
This indicates that the demand for AI computing power has not shown a significant cooldown.
But problems also arise:
Can such massive capital expenditures ultimately yield sufficient commercial returns?
In the past, the market was more concerned about:
"Are companies still buying GPUs?"
Now the market is beginning to ask further:
"How much revenue can these GPUs really generate?"
This means the AI industry is transitioning from the early stage of infrastructure development to gradually entering the "investment return validation stage."
If AI applications, cloud services, and enterprise software can continuously generate revenue, then the massive capital expenditures could form a positive cycle.
However, if the growth rate of capital expenditures consistently exceeds the revenue growth of AI, the market's tolerance for AI valuations may decline.
The Supply Chain May Become a New Bottleneck for AI Markets
Currently, the AI industry faces a real issue:
The demand is very strong, but the supply is not unlimited.
Nvidia faces not only production capacity issues with GPUs but also challenges with memory, advanced packaging, and other data center infrastructure.
Especially as AI models become increasingly complex, the amount of computing resources needed for a single AI data center is increasing, which also drives up demand for high-performance computing chips and high-bandwidth memory.
Therefore, the next phase of the AI industry may present a new contradiction:
Demand continues to grow, but can the supply chain keep up?
If supply chain constraints persist, Nvidia's revenue growth could be limited.
However, from another perspective, the supply tightness itself indicates that the demand for AI infrastructure remains very strong.
So in the short term, this seems more like a bottleneck in the growth process rather than a sudden disappearance of demand.
Why Should Bitcoin Investors Pay Attention to Nvidia's Earnings Report?
Many people might feel:
Nvidia is a tech company in the U.S. stock market; what does that have to do with Bitcoin?
In fact, the connection between the two is becoming increasingly clear.
BTC does not move directly with Nvidia’s performance, but the AI and tech stocks represented by Nvidia will influence the funding preferences of the entire risk asset market.
When AI tech stocks continue to rise, market risk appetite is typically stronger, and funds are more willing to allocate to high-volatility assets.
However, when the market begins to worry about overly high AI valuations, inability to deliver capital expenditures, or slowing earnings growth among tech stocks, the risk appetite may decline.
This change could ultimately be transmitted to the crypto market through U.S. stocks, the dollar, interest rates, and capital flows.
Thus, what Bitcoin investors should really pay attention to in Nvidia's earnings report is not:
"Nvidia went up, does that mean Bitcoin will go up too?"
But rather:
Whether the AI market can continue to support the global risk appetite for risk assets.
This is the more important connection between the two.
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In the Next Phase of the AI Market, the Market Needs to Validate "Investment" and "Returns"
The greatest significance of Nvidia's earnings report is that it once again proves that AI demand is currently still very strong.
But at the same time, the focus of the market has changed.
In the first phase, investors were concerned about:
Is there even a demand for AI?
This question is now becoming increasingly clear.
In the second phase, the market begins to care about:
How much longer can AI demand grow?
The third phase is:
Can the massive AI capital expenditures ultimately generate sufficient commercial returns?
This may be the key factor determining whether the AI market can continue to rise.
If large tech companies continue to invest in AI in the future, while AI-related revenues can grow rapidly, then Nvidia and the entire AI industry chain still have a strong growth logic.
Conversely, if AI capital expenditures continue to soar but revenue growth starts to lag, the market may reassess the entire AI sector's valuation.
📌 Web3 Mr. X: The Most Dangerous Stage of AI Is Not Necessarily the Lack of Demand
Nvidia's earnings report indicates one thing:
AI demand has not shown any significant cooling as of now.
Quarterly revenue of 96.2 billion dollars, net profit of 59.7 billion dollars, and next quarter’s projection of 108 billion dollars all indicate that AI infrastructure is still in a rapid expansion phase.
However, for investors, what they really need to focus on is not "Is there a story for AI?"
But whether this story can continue to deliver.
The AI market is transitioning from "talking growth" to "validating growth."
In the future, three variables will need to be closely observed:
How much longer can AI capital expenditures continue;
Whether Nvidia and the entire AI industry chain can keep up with supply capabilities;
Whether AI applications and commercial revenues can ultimately cover the increasingly large infrastructure investments.
These three variables will also affect the overall risk appetite for tech stocks and indirectly influence global risk assets, including BTC.
——I am Mr. Web3 X, with six years of growth in Web3, focusing on Bitcoin, the crypto market, macroeconomics, and industry trends.
If you want to continuously track BTC, ETH, HYPE, and the impact of macro data on the market, you can also follow the public account "Crypto Spring and Autumn." Understand the trends, gain insight into the logic, and establish your own judgments rather than just staring at price fluctuations.
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