Artificial Intelligence (AI) is one of the most powerful technological and economic forces of this decade. Global AI spending is expected to grow 44% annually to $2.52 trillion annually by 2026, as companies accelerate AI adoption across industries.
As businesses invest heavily in AI infrastructure, cloud platforms, and AI agents, Nvidia(NASDAQ: NVDA ), Taiwan Semiconductor Manufacturing(NYSE: TSM )and Microsoft(NASDAQ: MSFT ) These changes have emerged as important actors. Here’s why these three stocks are well positioned to benefit from the AI boom over the next 10 years.
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Nvidia has become one of the most important companies powering the creation of global AI infrastructure. The company’s recent financial performance has been phenomenal, including fourth quarter (ended Jan. 25) revenue of $68.17 billion and net income of $42.96 billion. Management has also clarified that the demand outlook extends to the year 2027, supported by inventory and delivery commitments.
However, the bigger story for long-term investors is how deeply embedded Nvidia is in the global AI computing ecosystem.
Analysts expect the top five cloud providers, which together account for nearly half of Nvidia’s total revenue, to spend nearly $700 billion in capital expenditures (capex) in calendar 2026. Much of this spending is driven by the transition from traditional CPU-based data center workloads to GPU-accelerated computing.
Additionally, AI models are now transitioning from training to inference (real-time deployment). Inference is also increasingly linked to customer revenue generation, as this model powers applications such as coding assistants, search, and enterprise software.
As a result, expanding computing capacity enables cloud providers to accommodate more workloads, which in turn generates more revenue. This dynamic has created a strong incentive to invest in AI infrastructure, which is further fueling Nvidia’s chips. Nvidia expects migration of traditional workloads and increased flexibility to together account for half of these long-term opportunities.
Nvidia is also positioning itself as a full-stack AI player by offering CPUs, GPUs, high-speed networking technologies, and the CUDA software platform. Deep integration in hardware, software and networking makes the Nvidia platform difficult to replace. Additionally, since Nvidia GPU architectures are compatible across generations, software improvements benefit the entire installed base of chips. This has further strengthened customer lock-in.
Given Nvidia’s strong AI ecosystem, the company could be a smart buy for the next decade.
Taiwan Semiconductor Manufacturing (or TSMC) is playing a key role in the AI boom by building advanced logic chips that greatly power the global AI infrastructure. High-performance computing, which includes AI accelerators and data center processors, is already a strong business and will account for nearly 58% of the company’s revenue in fiscal year 2025 (ending December 31).
TSMC’s AI accelerator (chip) revenue is projected to account for the highest percentage of total sales in 2025. The company expects this business to grow at a mid to 50% compound annual growth rate from 2024 to 2029. As the adoption of AI expands throughout the enterprise, customers will continue to reduce demand, and will continue to reduce demand.
The tech giant also has a strong view on future demand. The customer engagement cycle is already long, and chip designers are planning production capacity two to three years in advance. In fact, in many cases, cloud service providers, who are customers of the company’s chip designers, directly contact TSMC to request additional manufacturing capacity. These trends reinforce the company’s claim that AI is now a perennial megatrend.
TSMC’s technology leadership also strengthens its long-term position. Advanced process nodes (7-nanometer and below) will account for approximately 74% of the company’s fiscal 2025 revenue. The company has started high-volume production at the 2-nanometer node and expects a strong ramp in 2026.
Advanced packaging is also emerging as a key growth catalyst. Since AI accelerators require complex packaging to integrate logic chips with high-bandwidth memory, TSMC expects this segment to grow faster than its entire business over the next five years.
Combined with its global manufacturing footprint in Taiwan, the United States, Japan and Europe, this leading global foundry can remain a pillar of the AI economy for the next decade.
Tech behemoth Microsoft is building capabilities across the entire AI ecosystem, including cloud infrastructure, enterprise software, and developer tools.
Microsoft Azure is the second largest cloud infrastructure player globally, with a market share of 21% by the end of 2025. Despite the scale, management claimed that available cloud capacity is falling short of demand for AI workloads.
To address this gap, Microsoft is directing significant investment into the GPUs, CPUs, and data center infrastructure required for large-scale AI training and recruitment work. While this investment may seem high today, the resulting infrastructure could prove a challenge for competitors to copy or disrupt over time.
Microsoft is focusing on improving its virtual AI assistant Copilot and related AI tools. The company had 15 million paid Microsoft 365 Copilot seats and 4.7 million paid GitHub Copilot customers at the end of the second quarter of fiscal 2026 (ending December 31).
The company is also expanding ways to monetize AI through new enterprise offerings such as Microsoft 365 E7, a premium bundle that combines Copilot with identity, security, and governance tools. As AI capabilities are increasingly adopted into everyday work, enterprises will redesign many core processes around these assistants. This can further deepen Microsoft’s customer relationships and increase the stickiness of its customer base.
Microsoft is also positioning itself as a platform for building AI applications. Through services like Azure Foundry and Fabric, customers can deploy models, connect to enterprise data, and create automated agents that perform tasks in business workflows.
The company enjoys a data and distribution advantage, as a significant amount of global corporate data is already running on its products. As AI tools increasingly rely on this data to generate insights and automate tasks, Microsoft is well positioned to play a central role in the AI economy over the next decade.
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Manali Pradhan, CFA has no position in any of the stocks mentioned. The Motley Fool owns and offers positions in Microsoft, Nvidia, and Taiwanese semiconductor manufacturing. Motley Fool has a disclosure policy.
3 Proprietary Synthetic Stocks for the Next 10 Years was originally published by The Motley Fool
