As artificial intelligence continues to permeate various industries, one company is poised to gain from this trend.
Recently, companies that have heavily invested in artificial intelligence (AI) haven’t fared so well. Notably, Nvidia and Alphabet have both outperformed the S&P 500, especially in projections for 2025.
This success has spilled over to many stocks in infrastructure and manufacturing, which could see benefits from the AI surge, as well as those in power and cooling systems. For instance, Vertiv, Arista Networks, and memory chip firms like Micron Technology have all experienced challenges impacting market performance over the last three years.
However, there’s a particular company that seems to be flying under the radar amidst this AI wave. Its stock has lagged behind the market in recent years, but it might soon emerge as a key player in AI infrastructure.
Understanding the Importance of Various Chips
Nvidia has distinguished itself with its exceptional production of high-end graphics processing units (GPUs), leading the pack among AI chip manufacturers. Nevertheless, AI relies on more than just one type of microchip. Take Micron Technology, for example; they focus on manufacturing memory chips. Although memory chips may not have the allure of Nvidia’s top-of-the-line processors, they play a crucial role in keeping data centers operational.
Then there’s the analog chip. These essential components—like switches, sensors, and amplifiers—often don’t get the attention they deserve. Yet, they’re just as vital to AI systems as server racks and cooling fans are.
More than 80,000 of these critical components come from Texas Instruments. This could potentially be a sign that we’re on the brink of recognizing a true AI infrastructure company.
AI Integration in Electronic Systems
Similar to Vertiv, Arista, and Micron, Texas Instruments caters to various sectors. One key area is AI-focused data centers where networking, power management, and thermal management semiconductors are essential. Their products are also significant for industries that are expected to see substantial AI developments in the near future.
For instance, the automotive sector greatly relies on analog chips for various functions, including electrical and infotainment systems. Furthermore, the rise of advanced AI functionalities—like automatic braking and self-driving capabilities—will necessitate additional electrical and sensor components.
Texas Instruments also contributes to sectors like aerospace, defense, industrial automation, robotics, communications, and personal electronics, all poised for notable AI advancements in the upcoming years. It’s likely that many of their clients will aim to integrate AI into their products, leading to an increased demand for analog semiconductors.
Facing Challenges in Recent Years
However, it’s important to acknowledge that Texas Instruments hasn’t had the best run these past five years.
This underperformance stems from various external factors, such as supply chain disruptions, challenges in the automobile market, and ongoing tariff uncertainties affecting revenue and profits. Additionally, the company’s investment in a $60 billion manufacturing center is expected to enhance production capacity in the long run but has impacted current cash flow.
On a brighter note, AI has emerged as a positive aspect for Texas Instruments, as they recently highlighted a more than 50% year-over-year revenue growth from their data centers in the first three quarters of 2025. In fact, the management plans to start reporting AI as a distinct segment from this quarter onward.
Moreover, management has continued to make decisions favorable to shareholders, such as increasing dividends for the 22nd straight year (currently yielding 3.2%) and repurchasing $1.6 billion in stock during the first nine months of 2025, despite recent stock challenges. While Texas Instruments may take some time to fully harness the AI boom, it certainly seems to be preparing.
Now might be an opportune moment to consider investing in this potential AI trailblazer before it catches the attention of a market eager for AI-driven solutions.
