3 AI Chip Stocks to Buy in the Nasdaq Correction

Core Viewpoint - The Nasdaq has entered correction territory, but spending on AI infrastructure continues to rise, benefiting AI semiconductor companies [1][2]. Group 1: AI Infrastructure Spending - The three major cloud computing companies have budgeted a combined $250 billion in capital expenditures for AI infrastructure this year [2]. - OpenAI and Softbank, along with other companies, have pledged $500 billion over the next few years for building AI data centers through Project Stargate [2]. - Meta Platforms plans to spend up to $65 billion on AI infrastructure this year, indicating significant ongoing investment in AI [2]. Group 2: Nvidia - Nvidia holds approximately 90% market share in GPUs, largely due to its CUDA software platform, which enhances the functionality of its chips [4]. - The company's revenue growth surged as AI became mainstream, with its GPUs being essential for training AI models and running inference [5]. - Nvidia's stock is currently trading at a forward P/E ratio of under 24 times 2025 estimates and a PEG below 0.5, suggesting it is undervalued [6]. Group 3: Broadcom - Broadcom specializes in custom AI chips, designing application-specific integrated circuits (ASICs) that offer better performance for specific tasks [8]. - The company has established a $60 billion to $90 billion serviceable addressable market for its custom chips by fiscal 2026, with increasing interest from new customers [9]. - Broadcom's stock is trading around 28.5 times fiscal 2025 analyst estimates, reflecting an attractive valuation given its growth potential [11]. Group 4: Advanced Micro Devices (AMD) - AMD holds about 10% market share in the GPU market and has gained significant share in the CPU market within data centers, with over 50% market share among hyperscalers [12][13]. - The company is experiencing growth in the GPU market, with its MI300X GPUs being utilized by Microsoft and Meta Platforms, and plans to launch the MI400 GPUs in 2026 [14]. - AMD's stock has a forward P/E of only 15, making it an inexpensive option, while its CPU growth and overall AI spending trends should positively impact its GPU revenue [15].