Best stocks to buy: NVDA, PLTR, AMD, ORCL

Traders Union
All News
Financial News
Best stocks to buy

Nvidia (NVDA)

Nvidia remains the central beneficiary of the AI boom, with its GPUs and networking platform forming the backbone of model training and large-scale inference. The company’s moat is reinforced by CUDA software, ecosystem lock-in and a broad portfolio that extends from accelerators to high-speed interconnect and data-center systems. Investors focus on data-center revenue growth, gross margins and supply visibility, with hyperscaler ordering patterns often driving the stock around earnings. The upside case depends on sustained capex from cloud giants and expanding enterprise inference demand beyond a handful of mega buyers. Key risks include export restrictions, competitive pressure, and any abrupt cooling in AI infrastructure spending.

Palantir (PLTR)

Palantir trades as a high-conviction data and AI platform story, positioned to help organizations operationalize AI rather than simply experiment with it. Its software stack aims to turn models into governed workflows across defense, intelligence and commercial customers, which can create sticky deployments and long-term contracts. The bull thesis is that enterprise adoption accelerates as firms seek secure AI implementation with measurable ROI, supporting higher deal sizes and margin expansion. Investors watch commercial customer growth, remaining deal value and guidance for signs that momentum is structural rather than headline-driven. Risks include valuation sensitivity, long sales cycles in some verticals, and the challenge of sustaining growth as the base expands.

Advanced Micro Devices (AMD)

AMD offers leveraged exposure to data-center compute through EPYC CPUs and a growing AI accelerator roadmap, making it a key alternative beneficiary of the broader AI build-out. Its thesis rests on continued share gains in servers and the market’s push toward diversified supply, as hyperscalers and enterprises avoid single-vendor dependence. AMD also retains meaningful exposure to PCs, gaming and embedded, adding cyclicality but broadening the platform’s reach. Investors track data-center growth, AI accelerator traction, gross margin trends and software ecosystem progress as the main swing factors. Risks include intense competition, pricing pressure, and the possibility that capex cycles cool faster than expected.

Oracle (ORCL)

Oracle has been re-rated as its cloud transition gains traction, with OCI increasingly used for AI and enterprise workloads that require performance, data locality and predictable costs. Its advantage lies in deep enterprise relationships and a mission-critical database footprint that provides a natural pipeline for cloud migrations. Cloud growth adds upside optionality while recurring software maintenance revenue supports cash-flow durability, creating a blend of growth and defensiveness. Investors watch OCI growth, capex discipline and backlog/remaining performance obligations for signals on demand strength. Risks include fierce hyperscaler competition and execution pressure as Oracle scales infrastructure to meet AI-driven workloads.

Recently we wrote that crypto- and AI-linked initial public offerings weighed on overall US IPO performance last year, causing public debuts to lag behind the S&P 500.

This material may contain third-party opinions, none of the data and information on this webpage constitutes investment advice according to our Disclaimer. While we adhere to strict Editorial Integrity, this post may contain references to products from our partners.