Summary of the Core Content
This is a fictional story set in a parallel universe, featuring an internal meeting at NVIDIA before its financial report. It uses exaggerated elements to illustrate the strategic game between companies and the market. NVIDIA uses its own AI model, PricedIn, to predict that the stock price will fall by 2.03% after the report. In order to boost the stock price to the target of 8.7%, the company comes up with bizarre strategies such as establishing a future customer company, purchasing weather-related resources, and securing future supply chains. Despite the financial report far exceeding expectations, the stock price still drops because Wall Street has already bought into the predictions made by PricedIn, leaving no new buyers after the report is released. The story reveals the market principle that “expectations are already reflected in the stock price” (price in), the limitations of AI in finance, and the real challenges NVIDIA faces, such as bottlenecks in computing power.
Detailed Analysis
1. Why does the stock price always fall despite the financial report exceeding expectations?
In the story, NVIDIA’s stock price has fallen in 5 out of the past 6 financial reports, even though the company’s performance and guidance have surpassed expectations. The key reason is that “expectations have already been factored into the current stock price.” For example, since everyone knows NVIDIA’s performance will be strong this quarter, they buy the stock in advance. By the time the report is released, all the potential buyers have already entered the market, and no new buyers emerge, leading to a price drop. It’s like knowing in advance that a supermarket will have a discount tomorrow and stocking up today; when the discount comes, no one buys, and the prices may even decrease.
2. How does NVIDIA’s own AI model become a double-edged sword against the company?
NVIDIA developed an AI model called PricedIn to anticipate stock price fluctuations. However, the sales team sold the model to 19 banks on Wall Street. These banks all received the same prediction: the stock price would rise by 8.7%, so they bought the stock before the report was released. With all potential buyers already in the market, there is no new capital to drive the price up, and the stock price actually fell by 2.03%. This shows that while AI can analyze data, it cannot predict how people will use the model to influence market movements—similar to telling friends the lottery numbers, only for them all to buy the same number, diluting the potential winnings and potentially causing system failures.
3. How creative is the team’s approach to boost the stock price?
To achieve the 8.7% target, the team comes up with various extreme measures that reflect real corporate strategies:
- Establishing an “Expectations Research Institute”: Officially independent (with NVIDIA holding 49% of the shares), but it can still sell GPUs to the institute and influence market expectations.
- Creating a “Future Customer Company”: Registering a company for the year 2032 to purchase GPUs six years in advance, effectively bringing future revenue into the present (similar to companies signing long-term contracts for stable income).
- Purchasing Weather Resources: Signing memorandums with governments to ensure that rainwater and wind are prioritized for data centers (reflecting the reality that computing power depends on infrastructure like electricity and water).
- Securing Future Resources: Buying memory for 2035 and electricity for 2040, even signing agreements with the parents of engineers yet to be born (indicating companies’ efforts to secure supply chains to prevent shortages).
4. The “Underground War” Between Wall Street and the Company
Both the company and Wall Street try to manipulate expectations to influence the stock price:
- NVIDIA uses AI to predict prices, and Wall Street buys the model to take advantage of the predictions.
- NVIDIA’s plans to establish future customers raise concerns about market concentration.
- NVIDIA’s efforts to secure future resources trigger anti-monopoly concerns from Wall Street.
This game is like a cat and mouse chase: the company tries to hide its “cheese” (performance), while Wall Street tries to remove it in advance. AI makes the data more transparent, but when multiple parties act together, it leaves the company without its desired outcome.
5. The Exaggeration in the Story Reflects NVIDIA’s Real Challenges
The exaggerated elements in the story highlight real issues:
- Computing Power Bottlenecks: Data centers require large amounts of electricity, water, and memory (as evidenced by Debora’s utility bills).
- Market Concentration: A single customer can account for 16% of revenue (similar to NVIDIA’s major clients like Microsoft and Google).
- High Growth Pressure: Companies must continuously exceed expectations, or their stock prices will fall (NVIDIA’s stock price has already risen significantly, and market expectations are high).
These challenges are the hidden concerns behind the rapid growth of tech giants. The story uses humor to highlight these complex relationships between companies and the market.