
For some time now, those who observe the movements of capital have focused their attention on a single company: Nvidia. This is not mere speculation, but a recognition of its central role in the current, and potentially transformative, development of artificial intelligence. The company manufactures the specialized processors – graphics processing units, or GPUs – that are, for the moment, indispensable to the functioning of these systems. To ignore Nvidia’s performance is to misunderstand the direction of the prevailing wind.
Nvidia’s ascent has been, to put it mildly, remarkable. The stock price, over the past five years, has increased by a factor of thirteen. Such figures invite scrutiny, and a natural suspicion that the momentum cannot be sustained indefinitely. Investors, therefore, have been keenly watching for any sign of a weakening in the company’s position. It is in this context that the recent statements of Mark Zuckerberg, head of Meta, become significant.
Meta, formerly known as Facebook, is itself a substantial player in this new landscape. The company’s revenues are derived primarily from advertising – the practice of selling access to a captive audience. While this remains the core business, Meta has begun to invest heavily in artificial intelligence, with the aim of both enhancing its advertising capabilities and exploring new revenue streams. The logic is simple: increased engagement with its platforms, driven by AI-powered features, will attract more advertisers, and thus increase revenue. It is a predictable pattern.
Zuckerberg recently stated that he anticipates a significant acceleration in the development of AI in 2026. He described this as a period of increased investment in infrastructure – the very foundations upon which these systems are built. This is not a vague prediction, but a statement with direct implications for companies like Nvidia.
The demand for Nvidia’s products is not limited to the initial training of AI models. These models, once created, require ongoing computational resources to function – to solve the complex problems for which they are designed. This means that the demand for Nvidia’s GPUs is likely to remain strong, even as the technology matures. Companies will continue to require the necessary hardware to support the practical application of AI – to move beyond the theoretical promise and into the realm of tangible results.
The implications for investors are clear. Nvidia appears well-positioned to benefit from this ongoing demand. The company’s planned release of a new platform, dubbed “Rubin,” later this year offers an additional potential catalyst for growth. While past performance is never a guarantee of future success, the current conditions suggest that Nvidia’s stock may continue to climb.
It is important to avoid the temptation to chase fleeting profits. The market is prone to irrational exuberance, and a correction is always possible. However, if the current trajectory of AI development continues, Nvidia may have considerable room to run over the long term. The company has established itself as a critical component of this emerging technology, and that position is not likely to be easily displaced. To ignore this fact would be an exercise in willful blindness.
The question, ultimately, is not whether Nvidia will continue to grow, but whether its growth will be sustainable, and whether the benefits of this technology will be distributed equitably. That is a question for another time.
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2026-02-02 02:53