Been looking at the best AI stocks to buy right now, and honestly, you don't need a ton of capital to get real exposure to this trend. With just two grand, you can build a solid AI portfolio that covers the whole stack — infrastructure, chips, and software.

Let me break down what I'm holding and why. First, there's Nvidia. Yeah, it's massive at $4.6 trillion market cap, but the thing is, it's still growing like crazy. Their latest quarter showed 62% revenue growth hitting $57 billion, with data center revenue alone at $51.2 billion. The hyperscalers — Microsoft, Alphabet, Amazon, Meta — just announced $650 billion in AI spending this year. That's insane. So Nvidia's not slowing down anytime soon. I'd allocate about half your portfolio here, grab five shares around $100 each.

Then there's Nebius Group. This is the one most people haven't heard of, but I think it's got the most upside long-term. Dutch company building the data center infrastructure that AI developers and hyperscalers actually need. They went from $1.25 billion annualized run rate in 2025 to projecting $7-9 billion this year. That's the kind of growth trajectory you want to catch early. They're also expanding power capacity from 2.5 to 3 gigawatts and just acquired Tavily for their agentic search capabilities. Stock's around $100, so five shares gets you 25% of your portfolio.

The third piece is Palantir. While Nebius and Nvidia handle infrastructure, Palantir's got what might be the best AI software out there. Their AIP platform integrates LLMs to pull real-time insights from hundreds of data sources. Last year they did $4.475 billion in revenue, up 56% year-over-year, and they're projecting 60% growth to hit $7.2 billion in 2026. That's consistent execution. At $135 per share, you can grab three shares with your remaining $500.

So that's the play for best AI stocks to buy right now if you're starting with $2,000 — infrastructure, semiconductors, and software. Each one plays a different but essential role in how AI platforms are actually getting built and deployed globally. The runway for all three is still wide open.