The dawn of May 23 witnessed a remarkable announcement from NVIDIA, the global powerhouse in visual computing technology. The company's first-quarter earnings for the new fiscal year were nothing short of spectacular, boasting a staggering revenue growth of over 260% and a profit increase exceeding 620%. With a profit margin soaring above 78%, NVIDIA not only marked an exceptional quarter but also drew considerable attention from various sectors, including analysts, investors, and tech enthusiasts. This high-performance financial report sent ripples through the stock market, propelling NVIDIA's market capitalization to a whopping $2.3 trillion. This milestone solidified NVIDIA's standing as one of the few companies to cross the $2 trillion mark, joining a very exclusive club. The response was immediate and fervent. The digital space was ablaze with analysis and commentary, sparking debates over NVIDIA's valuation. Some speculated that NVIDIA's market cap was greater than that of Intel, AMD, TSMC, Qualcomm, and several other chip makers combined, suggesting the company's unmatched dominance in the semiconductor industry. Others even went so far as to claim that NVIDIA was single-handedly supporting the U.S. economy. However, amidst this excitement, skepticism arose. Critics pointed out that despite NVIDIA's stellar performance, maintaining such a high valuation might prove challenging. Yet, there were arguments asserting that not only could NVIDIA sustain its value, but it had ample room to grow further in the future. A fundamental reason behind this optimism lies in the concept of the “flywheel effect,” frequently observed in the technology sector. This phenomenon refers to a scenario where a company accumulates advantages over time, leading to even faster growth as it scales. Historical examples abound, such as Apple, the first company to reach a market cap of over a trillion dollars in 2018. Just two years later, in 2020, it crossed the $2 trillion threshold, and by 2023, Apple's market cap soared to an astonishing $3 trillion. Similarly, Microsoft achieved a $1 trillion valuation in 2019 and hit $2 trillion by 2021. Currently, Microsoft’s valuation even surpasses Apple’s, hovering around $3 trillion. Such rapid growth illustrates that even companies with trillion-dollar market caps can experience substantial increases in a short time, casting doubt on assumptions that NVIDIA’s valuation will necessarily decline. Further dissecting the reasons for NVIDIA's potential growth involves both micro and macroeconomic perspectives. On the micro level, NVIDIA's financial statements reveal that a significant portion of its revenue emanates from the booming cloud computing sector. Major players in the cloud market contribute to nearly half of NVIDIA's earnings from this segment. Investment in cloud computing is not likely to wane anytime soon; in fact, it is expected to expand. The competition among cloud platforms has shifted from text generation to image generation and now to video content, indicating an intensifying race for supremacy in this field. NVIDIA's CEO, Jensen Huang, has also strategically positioned the company to tap into burgeoning industries like autonomous driving, which is on the cusp of becoming mainstream. Autonomy can be interpreted as an application of visual intelligence, a domain where NVIDIA's processing power will be essential. Thus, the micro market demand for NVIDIA’s technologies is not only robust but poised for further growth. On a macro scale, there are even larger fluctuations on the horizon, driven largely by advancements in artificial intelligence (AI). This iteration of AI represents a generalized technology, analogous to transformative innovations like the steam engine, assembly line, or the internet, showing its universal applicability across a multitude of industries. Historical evidence suggests that the arrival of such generalized technology propels new waves of rapid industrial growth. As industries expand, early adopters within these sectors are often the ones to reap significant benefits. In the context of the current AI boom, NVIDIA’s position as a frontrunner cannot be overstated, especially given that computational power is a prerequisite for AI advancement. Looking forward, additional opportunities beckon in fields such as cloud computing and autonomous vehicles. Nevertheless, a crucial trend looming on the horizon is the rising intelligence of consumer devices. Enhanced smartphone capabilities can yield greater demand for intelligent services and applications. While it is correct to note that smartphones do not directly utilize GPUs, the increase in smart functionalities will drive a surge in usage of intelligent services, heavily reliant on cloud computing. When individual users engage with AI systems, demand for cloud services and, subsequently, NVIDIA's technologies would increase exponentially. From a financial perspective, scrutinizing NVIDIA's absolute market value does not paint an accurate picture of future growth. Finance is often a lagging indicator, as articulated by Huang's concept of the "Early Indicator of Future Success." His ability to foresee and seize emerging trends enables NVIDIA to maintain its competitive edge. NVIDIA stands to benefit immensely from the unfolding technological advancements, and its growth trajectory is promising when viewed through the lens of industry dynamics rather than merely financial metrics. In a matter of two to five years, a market capitalization of $3 trillion to $4 trillion for NVIDIA could become plausible without raising eyebrows. Therefore, rather than fixating on NVIDIA's potential valuation, stakeholders should contemplate the broader implications of this surge. It signifies that the wave of AI, as a generalized technology, has finally arrived and is about to permeate every facet of daily life. The critical question now focuses on how society can harness this technological movement to spur progress. Historically, technology evolves from foundational infrastructures to application layers. As a general rule, the opportunities generated at the application layer tend to outweigh those present in foundational technology, suggesting a reverse pyramid structure in terms of market potential. Consequently, potential giants of the future are likely to emerge from the application spaces. Hence, rather than solely surveilling NVIDIA’s market cap today, it is imperative to cast an eye toward companies operating in application layers, as they may represent the real opportunities worth pursuing. If strategic investments are made with foresight, as Huang suggests by identifying early indicators of future success, there exists a likelihood of emerging as victors in this rapidly evolving landscape.