When it comes to investing in the future, artificial intelligence (AI) is undeniably at the forefront of innovation. The technology is still in its formative years, and experts believe it will continue to redefine industries for at least the next decade. So, if you're considering where to put your money for long-term gains, let’s explore two exceptional AI stocks worth buying and holding over the next ten years.
1. Nvidia
Among the leading players in the AI sector, Nvidia has emerged as a significant victor. Known for its cutting-edge graphics processing units (GPUs), Nvidia commands roughly 90% of the AI infrastructure market. This dominating position isn't just by chance; the company is proactively expanding its reach through strategic acquisitions.
One notable move was Nvidia’s acquisition of SchedMD, the company behind Slurm, an open-source platform crucial for managing AI chips. Despite keeping Slurm open source, Nvidia's control over this software enables it to optimize the performance of its GPUs, ensuring they are utilized most effectively within the AI ecosystem.
Nvidia also struck a deal with Groq, a company founded by the creators of Google’s Tensor Processing Units (TPUs). Groq specializes in language processing units (LPUs) designed explicitly for AI inference, which is a vital area as efficiency in processing becomes increasingly important. By integrating these LPUs with its existing software and networking systems, Nvidia is poised to enhance its competitive edge in the inference market.
Furthermore, Nvidia's dominance in the AI data center sector is bolstered by the ecosystem it has developed around its products. Its CUDA programming platform has become the foundational bedrock for early AI development. The extensive libraries and tools that have been built around CUDA allow developers to optimize AI workloads seamlessly, creating substantial barriers against competitors. Additionally, Nvidia’s proprietary NVLink technology allows multiple chips to work in unison, thereby discouraging the use of mixed components in AI clusters.
In summary, Nvidia appears well-positioned to capitalize on the ongoing advancements in AI, especially as the demand for robust data centers continues to surge well into the future.
2. Taiwan Semiconductor Manufacturing Company (TSMC)
Another key player in the AI space is Taiwan Semiconductor Manufacturing Company, or TSMC, which holds the title of the largest semiconductor manufacturer globally. TSMC plays an essential role in fabricating advanced chips like GPUs, and its position in the market is critical for the continued growth of AI technologies.
The complexity involved in producing advanced chips means that many of Nvidia's competitors have struggled to achieve high-yield outputs efficiently. For instance, Nvidia recently decided against utilizing Intel's 18A production process after testing, highlighting the challenges faced by chip manufacturers. Similarly, Samsung has shifted its focus toward high-bandwidth memory chips due to difficulties in maintaining yield rates, a sector where TSMC does not compete directly.
This unique standing has made TSMC a linchpin in the AI supply chain; without TSMC, companies like Nvidia would find it challenging to manufacture their chips at scale. TSMC collaborates closely with advanced chipmakers, assisting them in reducing chip sizes and increasing production capacity to meet the booming demand for AI capabilities.
Looking ahead, TSMC anticipates that the demand for AI chips will soar at a compound annual growth rate (CAGR) exceeding 40% in the coming years. The company has also been adjusting its pricing strategy, including a notable price increase planned for 2026.
Overall, TSMC stands out as one of the most strategically positioned companies to benefit from the ongoing expansion of AI infrastructure, regardless of which chip manufacturers gain market share over the next decade.
