The artificial intelligence market has expanded rapidly in recent years, fueled by advanced AI chatbots like ChatGPT attracting hundreds of millions of users. This long-term structural shift is driving businesses worldwide to upgrade their AI infrastructure and integrate more AI applications into their core operations.
According to Grand View Research, the global AI market is expected to grow at a compound annual growth rate (CAGR) of 30.6% from 2026 to 2033. In this high-growth arena, two technology giants stand out in particularly strong positions: Nvidia (NVDA) and Microsoft (MSFT). So why do these two companies continue to be regarded as the premier investment plays in the AI application space? The answer lies in their formidable competitive moats and clearly defined growth trajectories.
Nvidia produces over 90% of the world’s discrete GPUs. Unlike CPUs, which excel at sequential tasks, GPUs are designed to handle massive parallel workloads, making them the ideal engine for complex graphics, machine learning, and AI applications. Today, Nvidia’s high-performance data center GPUs have become its primary revenue driver, while its once-dominant gaming PC business has taken a back seat.
Leading AI software companies—including Microsoft, Meta, and Alphabet’s Google—are investing billions of dollars in these data center GPUs. Nvidia locks customers into its ecosystem through its proprietary CUDA programming platform and other optimized services. This stickiness reinforces a wide economic moat. Furthermore, Nvidia continues to strengthen its first-mover advantage by consistently rolling out more advanced, denser, and energy-efficient chip architectures—from Turing and Ampere to Hopper and the latest Blackwell generation.
For the foreseeable future, Nvidia is poised to remain the leading supplier of critical infrastructure for the AI boom. Analysts project that from fiscal 2025 (ending January 2025) to fiscal 2028, the company’s revenue and earnings per share will grow at CAGRs of 47% and 45%, respectively. Such growth is exceptional for a stock trading at just 27 times next year’s earnings. As long as demand for next-generation AI chips continues to outpace supply, Nvidia’s momentum is likely to persist.
Since Satya Nadella took over as CEO in 2014 and pivoted the company toward a “mobile-first, cloud-first” strategy, Microsoft has undergone a profound transformation. It has shifted Office from desktop software to cloud-based services and mobile apps, scaled Azure into the world’s second-largest cloud infrastructure platform, and evolved Windows into a central hub connecting cloud, mobile, and AI services.
Microsoft’s strategic moves in AI have been particularly crucial. Its ongoing investment in OpenAI—the creator of ChatGPT—since 2019 has made it the startup’s largest backer. Today, OpenAI’s technology is deeply integrated into Microsoft’s Copilot generative AI platform, Azure cloud services, and Microsoft 365 productivity suite. These AI enhancements have increased customer stickiness and widened Microsoft’s competitive moat.
Over the next year, Microsoft plans to roll out more specialized Copilot agents for sectors such as finance, legal, sales, healthcare, and engineering. Leveraging its strong pricing power, the company also expects to grow its user base per enterprise customer. As Copilot scales, economies of scale should help dilute infrastructure costs. Additionally, Microsoft’s in-house AI chips—such as Maia and Cobalt—could improve Azure’s cost-performance, boost overall margins, and gradually reduce its reliance on Nvidia. Azure is also set to benefit from the rising wave of cloud infrastructure upgrades as businesses adopt more AI applications.
Analysts forecast that from fiscal 2025 (ending June 2024) to fiscal 2028, Microsoft’s revenue and EPS will grow at CAGRs of 16% and 18%, respectively. With the stock trading at around 26 times forward earnings, its valuation remains reasonable. Microsoft continues to offer investors a well-balanced exposure to the expansion of cloud computing, mobility, gaming, enterprise software, and AI applications.
As AI moves from concept to widespread adoption across industries, the key to investing lies in identifying companies with core technological control, ecosystem leadership, and financial stability. Nvidia dominates the crucial infrastructure layer with its indispensable hardware and software ecosystem. Microsoft serves as the central gateway for AI application deployment through its full-stack cloud and AI integration capabilities. Together, they provide investors with dual certainty—from both the “infrastructure” and “application platform” ends—in the ongoing intelligent revolution. In an era of flourishing AI applications, these two giants may well be the definitive answer for investors.
