I've been digging into what could be the most significant wealth-creation opportunity of this decade, and it all comes down to artificial intelligence reshaping entire industries by 2035. The numbers are staggering—we're talking about the AI market potentially exploding from around $270 billion today to over $5 trillion in the next ten years. That's not hype; that's the kind of structural shift that creates generational wealth.

Here's the thing though: most people think the big winners will be some mysterious startup that nobody's heard of yet. Maybe. But while we're waiting for the next unicorn to emerge, there's a smarter play—owning the companies that are already positioned at the center of this AI arms race. These are firms with real moats, real revenue, and real conviction from institutional money. Let me walk you through five of the most compelling top AI investments I'm watching for the long term.

Start with Nvidia. It's almost cliché to talk about at this point, but there's a reason everyone keeps coming back to it. The company essentially owns the infrastructure layer—think of it as supplying the raw horsepower that powers every major AI operation globally. Their GPU market dominance sits around 92% in data centers, and here's what's fascinating: companies have already sunk enormous capital into building out their entire infrastructure on Nvidia's ecosystem. Switching costs are brutal. Their CUDA programming framework has created a competitive moat that's genuinely difficult to replicate. A $500 billion order backlog tells you everything you need to know about where this is heading.

Then there's Alphabet, which most people only think about as a search engine company. That's wildly incomplete. Google's reach is absurd—billions of users touching their products daily across YouTube, Android, and their cloud services. But here's what caught my attention: they've moved beyond just being an AI consumer. Alphabet actually built their own custom chip, the TPU, trained their Gemini model on it, and is now selling these chips to other AI companies. They also own a meaningful stake in SpaceX. It's basically a way to get diversified exposure across multiple AI narratives without picking individual bets.

Microsoft deserves serious consideration if you want something with both growth and stability built in. Azure is the second-largest cloud platform globally, and as AI workloads explode, that business becomes a natural beneficiary. But the real leverage here is their approximately 27% ownership stake in OpenAI—the company behind ChatGPT. If you wanted to own a piece of OpenAI without waiting for an IPO, Microsoft is your vehicle. Plus, you get the dividend safety net. They've raised their dividend for 23 straight years, which matters if you're thinking about holding through 2035.

Amazon's play is slightly different but equally compelling. AWS remains the world's leading cloud services business, and Amazon's building a significant relationship with Anthropic, a serious OpenAI competitor. They've committed $8 billion to that partnership. The beauty of Amazon is that even if AI underperforms expectations, the core e-commerce and advertising businesses have plenty of runway left. AI is genuinely just upside.

Finally, Palantir Technologies represents the software side of this equation. They're still early, but their AI-focused platform AIP has been a game-changer for both government and corporate clients. The stock's valuation can be aggressive, sure, but they've got fewer than 1,000 customers currently. That's an enormous runway for growth over the next decade. For patient investors, any dips might be buying opportunities rather than warnings.

The macro picture here is clear: top AI investments aren't just about picking the next hot startup. They're about owning the infrastructure, the platforms, and the companies with real optionality across multiple AI scenarios. These five give you exactly that—exposure to hardware, software, cloud, and direct bets on emerging AI companies. If you're thinking about 2035, these are the kinds of positions that could look very different by then.