The artificial intelligence (AI) revolution, ignited by breakthroughs like ChatGPT in late 2022, continues to reshape industries. While tech giants such as Microsoft and Nvidia dominate headlines and invest billions, the ripple effect of the AI boom extends far beyond the largest corporations. Companies crucial to the underlying infrastructure and data necessary for AI are also positioned for significant growth. This includes key players in the semiconductor manufacturing and data services sectors.
Here are two companies making significant strides in capitalizing on the expanding AI landscape: Taiwan Semiconductor Manufacturing Company and Innodata.
Taiwan Semiconductor Manufacturing Company (TSMC)
While Nvidia is widely recognized for its AI chips, Taiwan Semiconductor Manufacturing Company (TSMC) holds a critical position as the world’s largest contract chipmaker. Dominating approximately 90% of the pure-play foundry market, TSMC is the manufacturing powerhouse behind chips designed by industry leaders like Nvidia, Advanced Micro Devices (AMD), Broadcom, and Qualcomm.
TSMC’s integral role in producing advanced semiconductors has fueled remarkable performance, with its stock seeing over 260% growth in the past five years. The company’s pure-play foundry market share is projected to reach 66% before the close of 2025, driven significantly by the robust demand for high-performance 3nm and 5nm chips essential for AI applications. Computing became TSMC’s largest revenue source last year, accounting for more than half of its total sales, a clear indicator of AI’s impact on its business.
Looking ahead, TSMC is investing in the development of cutting-edge 2nm chips and expanding its global manufacturing footprint. These strategic moves are set to strengthen its ability to meet the escalating demand for AI processors across various applications, from massive data centers to advanced smartphones and electric vehicles (EVs). Recent results underscore this trend, with TSMC sales surging 42% last month, beating analyst expectations, primarily driven by AI-related demand. Some market forecasts anticipate TSMC stock could potentially rise by over 30% in the next year.
Innodata (INOD)
Innodata approaches the AI opportunity from a different angle, specializing in the data engineering services and annotated data crucial for training sophisticated AI models. The company serves a diverse clientele across the technology, finance, and healthcare sectors.
Despite being a smaller company compared to TSMC or the tech giants, Innodata has built a strong track record, including partnerships with five of the “Magnificent Seven” tech companies. This connection to major AI players has been a significant growth driver, contributing to a reported 96% surge in the company’s revenue, largely attributed to its AI-related services.
The increasing complexity of AI, particularly the rise of specialized large language models (LLMs), further highlights the importance of domain-specific annotated data that companies like Innodata provide. This growing need for high-quality training data presents additional opportunities for Innodata. Estimates suggest that Innodata (INOD) stock could potentially see a significant increase, with some forecasts pointing towards a rise of over 120% in the coming 12 months.
Innodata (INOD) stock prediction chart showing potential growth forecast
What’s Next
Both TSMC and Innodata are deeply embedded in the infrastructure powering the current AI boom. TSMC’s role in manufacturing the advanced chips and Innodata’s services in providing the essential data are fundamental components of the AI value chain. As AI technology continues to evolve and its adoption expands across industries, these companies are strategically positioned to benefit from sustained high demand. Investors watching the AI space should consider how these crucial, less visible players stand to gain alongside the more widely discussed giants.
