Is Allegro MicroSystems, Inc. (ALGM) the Best Small Cap AI Stock to Buy Right Now?

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We recently compiled a list of the 15 Best Small Cap AI Stocks to Buy Right Now. In this article, we are going to take a look at where Allegro MicroSystems, Inc. (NASDAQ:ALGM) stands against the other small cap AI stocks.

Smaller-cap AI stocks may present potentially attractive investment opportunities for investors seeking exposure beyond the already well-known Big Tech giants. Many of these companies operate quietly under the radar, developing specialized AI products, software, and applications that could significantly impact various sectors, from healthcare and finance to cybersecurity and manufacturing. While large-cap technology leaders have already benefited greatly from early enthusiasm and experienced significant stock-price appreciation during calendar 2023-2024, smaller AI-focused companies often remain relatively undiscovered and undervalued. This positions them as potential second-wave beneficiaries, providing investors with an attractive entry point into the next stage of AI-driven growth. As the market increasingly recognizes the commercial viability and disruptive potential of these innovative, smaller-cap players, their stocks could offer substantial upside compared to their larger, more mature counterparts.

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The first wave of AI beneficiaries during 2023–2024 was largely limited to GPU manufacturers, semiconductor equipment providers involved in GPU production, and Big Tech companies that acquired GPUs and built data centers to secure the computing power needed to support the AI revolution. However, after two years of aggressive spending, 2025 is shaping up to be the year that determines whether further capacity is truly needed. The actual capabilities of AI remain largely at the level seen in early 2023 when ChatGPT was first introduced. With no major technological breakthrough to date, analysts have begun to question whether such massive hardware investments are justified. The issue was further amplified in January 2025, when a Chinese startup claimed to have trained an AI model with performance comparable to U.S. large language models – at only a fraction of the cost. If true, the Chinese firm DeepSeek could disrupt the AI training and inferencing market, potentially undermining the prevailing thesis that the world needs hundreds of billions in GPU infrastructure to meet computing power demand.

The aforementioned developments may have important implications for global markets. On one hand, the first-wave beneficiaries of AI could face a correction as demand for GPUs weakens and the substantial hardware investments made in 2023–2024 prove excessive. On the other hand, a second wave of beneficiaries may emerge, as Chinese technology drives down the cost of AI training and inferencing, effectively lowering barriers to entry for startups and companies operating on tight budgets. With significantly reduced costs to enter the market, hundreds of startups and small-cap companies may accelerate the development of AI products and solutions with practical, mass-market use cases. If successful, we could witness the rise of an entirely new cohort of winners. With that in mind, the key takeaway for readers is that this may be the right time to look for potential second-wave AI winners – particularly among small-cap companies with market capitalizations under $5 billion.