The market for artificial intelligence ASICs is becoming more competitive, and January is shaping up to be a prime time for investing in leading stocks in this sector.
AI-related stocks have been significant contributors to market gains in 2025 and are expected to keep this momentum going into 2026. Let’s explore three top AI stocks to consider buying this month.
1. Broadcom
Broadcom, having a robust performance in 2025, seems poised for another strong year. The company has established itself as a key player in supporting clients with custom ASICs tailored for AI applications. These custom chips are specifically programmed to carry out defined tasks.
As major tech firms shift from Nvidia’s GPUs to manage costs and diversify their AI workloads, Broadcom is gaining more attention. For example, Alphabet has utilized its own tensor processing units (TPUs)—well-regarded in the industry—for its AI needs.
Clients provide their own chip designs, while Broadcom contributes the essential components through its extensive intellectual property offerings. It also guarantees production capacity in collaboration with Taiwan Semiconductor Manufacturing, which is crucial for chip manufacturing at scale.
Custom AI chips present a significant opportunity for Broadcom. Analysts anticipate that the company’s AI revenue could surge, growing from about $20 billion last fiscal year to $100 billion by fiscal 2027.
2. Alphabet
Alphabet is closely tied to the custom AI chip market, having developed the first TPU over a decade ago. These chips are integral to many of its internal operations and have been seamlessly integrated into its hardware and software platforms. They’ve been rigorously tested and continually improved, giving Alphabet a real edge.
Currently, Alphabet’s TPUs are used to train advanced Gemini large-scale language models more cost-effectively than competitors. In fact, Anthropic has placed a significant order with Broadcom for TPUs to better execute their AI tasks on Google Cloud.
According to analysts at Morgan Stanley, for every 500,000 TPUs deployed, Alphabet expects to generate around $13 billion in revenue. The company plans to roll out about 5 million TPUs in 2027 and expects even more in 2028. Meanwhile, they are investing heavily in data center infrastructure to accommodate the growing demand in cloud services.
Management has also integrated the Gemini model into various products, including Google Search, aiming to enhance user engagement and growth. With a comprehensive AI technology framework, Alphabet appears well-prepared for the future.
3. Taiwan Semiconductor Manufacturing
The third key player in the AI infrastructure revolution is Taiwan Semiconductor Manufacturing Company, or TSMC. This company is responsible for producing a vast majority of advanced AI chips, whether they’re based on GPUs or ASICs—TSMC handles both.
With strong partnerships with firms like Nvidia and Broadcom, TSMC is essential for manufacturing their chips at scale. Its role is pivotal in shaping both companies’ technological advancements as they work to meet rising demand.
Interestingly, TSMC’s market position seems to be strengthening. While NVIDIA invested in Intel, TSMC’s new two-nanometer (2nm) technology has exceeded expectations, even as the company opts not to implement the latest processing technology for now.
Holding a crucial role in the semiconductor sector, TSMC also exhibits significant pricing power. The cost for the new 2nm technology is reportedly 50% higher than that of the previous 3nm technology, and the company has already informed clients about planned price hikes over the coming four years.
