Core Viewpoint - Nvidia is positioned to transition from a traditional semiconductor company to a provider of cognitive infrastructure, potentially charging for every intelligent operation if artificial general intelligence (AGI) arrives by 2030 [1][8]. Group 1: Revenue Projections - Nvidia's revenue reached $130.5 billion in fiscal 2025, more than doubling from the previous year, with expectations of $254 billion by fiscal 2027 [4]. - A compound growth rate of 19% from 2027 to 2035 could lead to $1 trillion in revenue, resulting in a market cap of $9 trillion at a 45% net margin [5]. Group 2: Market Potential - If Nvidia captures 50% of a projected $5 trillion AGI computing market, the stock price could rise to $615, indicating significant growth potential [6]. - The investment case hinges on the arrival of AGI by 2030, which would differentiate Nvidia from standard semiconductor growth [8]. Group 3: Competitive Advantage - Nvidia's Compute Unified Device Architecture (CUDA) has been developed over 15 years, creating a significant competitive moat that is costly for competitors to bypass [10]. - Major tech companies continue to purchase Nvidia's GPUs despite investing in custom chips, indicating strong market lock-in [11]. Group 4: Risks and Challenges - The moat is strongest in AI training, but competition in AI inference is increasing from companies like Advanced Micro Devices and cloud giants [12]. - Various factors could impact Nvidia's market position, including geopolitical risks, margin compression from competition, and the timing of AGI's arrival [13].
The Intelligence Toll: Why Every Fortune 500 Company Could Pay Nvidia by 2035