Why AI Stocks Are Getting Attention

AI spending keeps growing across cloud, chips, and software. Here's a general look at companies frequently mentioned in AI coverage — not a buy recommendation, just a starting point for your own research.

1. NVIDIA (NVDA)

The dominant AI chip maker, powering most large AI training workloads.

2. Microsoft (MSFT)

Deep OpenAI partnership, Azure AI, and Copilot across its product line.

3. Alphabet/Google (GOOGL)

Gemini models, custom TPU chips, and AI integrated across Search and Cloud.

4. Amazon (AMZN)

Amazon is pouring roughly $200 billion into AWS infrastructure to meet AI demand, alongside in-house chips like Graviton and Trainium designed to reduce reliance on third-party GPUs. AWS remains the largest cloud provider, giving Amazon a big distribution advantage for AI services.

5. Meta Platforms (META)

Meta has poured tens of billions into AI infrastructure and its open-weight Llama models, using AI to power ad targeting, content recommendations, and new products like AI-driven creative tools. Its large advertising business gives it a steady stream of cash to fund AI investment.

6. Broadcom (AVGO)

Broadcom supplies custom AI accelerator chips for hyperscalers like Google and Meta, plus the networking hardware that connects data center clusters together. Its software business (from the VMware acquisition) adds recurring revenue, and the company expects its AI semiconductor revenue to roughly double year-over-year in 2026.

7. Oracle (ORCL)

Oracle has repositioned itself as a major AI cloud infrastructure provider, spending heavily on Nvidia chips and data center capacity to host AI training and inference workloads for large customers. Its existing enterprise database relationships give it a foothold with companies that are cautious about moving core data to newer cloud providers.

8. Palantir Technologies (PLTR)

Palantir sells an AI-powered data analytics platform (AIP) to government and commercial clients. Its U.S. government revenue and commercial customer count have both grown sharply, but the stock trades at a very high valuation relative to sales, which makes it more volatile than most names on this list.

9. CoreWeave (CRWV)

Known as a "neocloud," CoreWeave rents out GPU compute capacity built specifically for AI workloads, with major contracts including deals with Meta and Anthropic. Revenue growth has been explosive, but so has its debt load from data center buildouts — a combination worth understanding before considering the stock.

10. Advanced Micro Devices (AMD)

AMD makes GPUs and data center chips that compete directly with Nvidia for AI training and inference workloads, alongside its long-established CPU business used across servers and PCs. Major cloud providers have signed multi-year AI chip supply deals with AMD, giving it a growing foothold as companies look to diversify away from a single GPU supplier.

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