Nvidia, the first company to exceed $4 billion in market value
Nvidia made history by being the first company to reach $4 billion in market value: artificial intelligence continues to bear fruit
On Wednesday, July 9, Nvidia became the first company to exceed $4 billion in market value, marking a historic milestone on Wall Street and in the technology industry.
Although its final capitalization for the day closed slightly below that threshold, the record is already It was written: Nvidia reached a level that no other company had ever touched before, not even giants like Apple or Microsoft.
The company's shares (NVDA) rose 1.8% on Wednesday, closing at $162.88 per share. During the session, the stock price briefly broke the magic $4 trillion mark before retreating slightly. Still, the close represented a new all-time high.
By early Thursday, Nvidia shares were up an additional 0.7% in pre-market trading.
The impetus behind this growth comes in large part from Nvidia's central role in the artificial intelligence revolution. Its chips, modified graphics cards, and CUDA platform have been specifically designed to train and run generative AI models, such as those developed since the arrival of ChatGPT in 2022. This technological advantage has left competitors such as AMD and Intel behind. Companies such as Amazon, Google, Meta, Microsoft, and Tesla are currently investing hundreds of billions of dollars in Nvidia hardware. The goal is to expand their data centers with cloud AI capabilities and develop their own intelligent models. This massive demand for specialized chips has been key to sustaining Nvidia's unstoppable growth. Despite some setbacks throughout the year, the stock's value has managed to remain on the rise. In January, for example, the company lost $600 million in market capitalization after the presentation of the R-1 model by DeepSeek, which claimed to have trained it with less expensive chips. Doubts also arose around the industry's possible shift from the training stage to inference,which called into question the need for such powerful processors.
However, these fears did not materialize. Nvidia GPUs remain essential for both training and using advanced AI models. The inference stage has also benefited from more robust processors, as they allow more complex questions to be answered in less time.
Furthermore, Nvidia has benefited from the rise of so-called “sovereign AI,” where countries build their own data centers to avoid relying on foreign services. The company is expected to supply hundreds of thousands of chips to governments in Europe and the Middle East, including Saudi Arabia and other nations interested in developing autonomous AI infrastructure.
On the other hand, restrictions imposed by the Biden and Trump administrations on chip sales to China have had a strong impact. Nvidia suffered a $4.5 billion loss in its last quarter due to this, and expects a larger write-down of up to $8 billion in the current period. Despite this, its stock price continues to trend upward.
With the upcoming launch of its new Blackwell Ultra line of chips and the absence of a close rival in terms of technological prowess, Nvidia's dominance in the sector appears far from over. Its strategic position in the global race for artificial intelligence makes it not only a market leader, but also a key player in the future of computing.

