Artificial intelligence (AI) stocks helped lead the market higher in 2025, and so far in 2026, their momentum has continued. Let's look at three top AI stocks to buy this month.
Image source: Getty Images.
1. Broadcom
After a strong performance in 2025, Broadcom (AVGO 1.07%) looks poised to repeat it this year. It has become the go-to company to help clients design custom ASICs (application-specific integrated circuits) for AI, which are preprogrammed chips designed to handle specific tasks.
As large tech companies look to diversify away from Nvidia's graphics processing units (GPUs) and save costs with AI workloads, they are increasingly turning to Broadcom, which helped Alphabet (GOOGL 1.35%) (GOOG 1.43%) design its highly regarded tensor processing units (TPUs).
NASDAQ: AVGO
Key Data Points
Customers provide their own chip architecture, and Broadcom gives them the building blocks to design the chips through its intellectual property (IP) portfolio. It is also able to secure capacity and advanced packaging technologies from Taiwan Semiconductor Manufacturing (TSM 4.37%), ensuring companies are able to have their chips manufactured at scale.
Custom AI chips are a huge opportunity for Broadcom, with Citigroup analysts predicting that its AI revenue could rise fivefold over the next two years from around $20 billion this past fiscal year to $100 billion is fiscal 2027.
2. Alphabet
The company furthest along with custom AI chips is Alphabet, which first designed its TPUs over a decade ago. Since then, the company has used these chips to run most of its internal workloads and has integrated them into its hardware and software systems. Its chips are battle-tested and have continued to evolve, giving the company a huge advantage.
Alphabet's TPUs have allowed it to train its world-class Gemini large language model (LLM) and run inference at a cost cheaper than competitors. Its chips are so well regarded that Anthropic has placed a $21 billion order with Broadcom for its TPUs to run through Google Cloud for some of its AI workloads.
NASDAQ: GOOGL
Key Data Points
Analysts at Morgan Stanley predict that for every 500,000 TPUs that customers deploy, Alphabet generates around $13 billion in revenue. The analysts are looking for the company to deploy around 5 million TPUs in 2027 and 7 million in 2028. At the same time, Alphabet is aggressively budgeting for capital expenditures to build more data center infrastructure to try to meet the strong demand for its cloud computing services.
Management has also embedded Gemini throughout its products, including Google Search, which is helping increase queries and drive growth. By having the most complete AI tech stack, Alphabet is very well positioned for this year and beyond.
3. Taiwan Semiconductor Manufacturing
The third big piece in the ongoing shift in AI infrastructure is Taiwan Semiconductor Manufacturing, or TSMC for short. The company is responsible for manufacturing nearly all advanced AI chips, and it doesn't matter whether customers decide to use GPUs or ASICs -- TSMC makes both of them.
The company has strong relationships with Nvidia and Broadcom, and both rely on TSMC to manufacture their chips at scale. TSMC is working with both to increase capacity to help meet growing demand, and it plays a pivotal role in these companies' technology road maps.
NYSE: TSM
Key Data Points
TSMC's moat only seems to be widening. Nvidia, which took a stake in Intel, decided not to proceed with its newest processing technology, while the yields for TSMC's latest 2-nanometer (2nm) technology have exceeded expectations.
Given its vital role in semiconductors, TSMC also has strong pricing power. Its new 2nm technology reportedly costs 50% more than its earlier 3nm technology, and the company has apparently already given its customers notice of price increases scheduled for the next four years.
