AI Chip Stocks Beyond Nvidia: AVGO & MU Set to Soar

As earnings season concludes, Nvidia's February 25th report remains highly anticipated, but attention is shifting to other semiconductor players poised to benefit from AI infrastructure growth. Major tech companies including Microsoft, Amazon, and Meta plan to spend a cumulative $680 billion on AI infrastructure in 2026, creating ripple effects throughout the semiconductor ecosystem.

Nvidia CEO Jensen Huang recently described AI as a 'five-layer cake' spanning energy, cloud services, AI models, chips, and critical infrastructure. This framework suggests that while Nvidia dominates GPUs, other specialized chip makers are becoming increasingly important as AI infrastructure matures.

Broadcom emerges as a key player at the intersection of chips and data center equipment. The company's Tomahawk and Jericho switching chips ensure seamless data flow across Nvidia's GPU clusters, while its custom ASIC business serves major customers like Alphabet and Meta seeking vertical integration.

Micron Technology, traditionally seen as a cyclical memory chip company, is experiencing a transformation driven by AI demand. The company's high-bandwidth memory chips are sold out for 2026, with Wall Street projecting earnings could quadruple this year as memory becomes mission-critical for scaling AI workloads.

The diversification of AI infrastructure spending beyond Nvidia's GPUs signals a maturing market where specialized components become increasingly valuable. As AI applications expand from large language models to robotics and autonomous systems, the ecosystem requires more specialized hardware solutions.

For Broadcom, the opportunity lies in both networking equipment and custom silicon. The company's switching chips are essential for managing data flow in massive GPU clusters, while its ASIC business positions it as a partner for companies developing proprietary AI systems. This dual revenue stream provides diversification beyond traditional semiconductor cycles.

Micron's transformation from cyclical memory supplier to AI infrastructure essential reflects how memory requirements are scaling with AI complexity. As AI workloads grow larger and more sophisticated, memory bandwidth becomes a critical bottleneck that Micron is uniquely positioned to address.