Nvidia designs the GPUs that train and serve virtually every frontier AI model. Its H100 and Blackwell platforms set the...
Best AI stocks to buy.
The most widely followed public companies in the AI investment cycle. Chip designers, cloud platforms, memory suppliers, and foundries. Every entry links to a full guide.
This is not investment advice. All investments carry risk. See our disclaimer.
Top picks.
These stocks appear most often in institutional AI investment baskets and have the highest liquidity. They cover the primary layers of the AI stack: compute, memory, manufacturing, and cloud.
AMD is the main alternative AI accelerator supplier as labs and hyperscalers look to diversify away from a single chip v...
Micron is one of the world's largest memory chip makers and a growing supplier of high-bandwidth memory (HBM), the speci...
TSMC fabricates the advanced processors behind the AI boom, including Nvidia GPUs, AMD accelerators, and Google's TPUs u...
ASML holds a near-monopoly on extreme ultraviolet (EUV) lithography, the equipment required to pattern the most advanced...
Amazon is Anthropic's largest strategic investor and primary cloud partner through AWS. It has committed billions to Ant...
Alphabet has committed up to $40B to Anthropic and supplies Google Cloud capacity plus custom TPU accelerators for train...
Microsoft is OpenAI's largest backer and primary infrastructure partner through Azure, making it Anthropic's main compet...
CoreWeave is a GPU-focused cloud built for AI training and inference, with direct capacity deals to Anthropic, Microsoft...
SpaceX completed a major IPO in 2026 and sits at the intersection of launch services, Starlink satellite internet, and f...
AI chip designers
The GPUs and custom accelerators that train and serve every frontier AI model. Chip designers sit at the center of the AI hardware stack.
Memory and HBM
High-bandwidth memory is the bottleneck alongside compute. These suppliers ride every new AI training cluster build-out.
Foundries and chip equipment
The fabs and lithography tools that make advanced AI silicon possible. Capacity here constrains the whole industry.
Cloud and AI infrastructure
Where models actually run: hyperscale cloud, GPU clouds, and the server builders wiring up the racks for AI workloads.
AI software and platforms
Companies building AI-native products, enterprise software, and data platforms on top of the hardware and cloud layers.
Recent AI-era IPOs
Newly public companies riding the same AI wave that Anthropic and OpenAI will list into. A live read on how the market prices frontier-AI growth.