The Best AI Stocks to Buy and Own Through 2035 and Beyond

The artificial intelligence revolution is accelerating rapidly, and savvy investors are positioning themselves for what could become a multi-trillion-dollar opportunity. Research estimates suggest the AI market could expand from approximately $270 billion today to over $5.2 trillion within the next decade. While many of tomorrow’s AI winners likely remain private or unknown today, investors can still capitalize on this mega-trend by investing in the best AI stocks that are already publicly traded and well-positioned to lead.

The key insight is this: you don’t need to gamble on unproven startups. Five established technology leaders already control critical pieces of the AI infrastructure puzzle, from computing power and cloud platforms to proprietary models and enterprise software. Together, they offer diversified exposure to the AI opportunity across both hardware and software layers.

GPU Dominance: The Computing Power Behind AI

Nvidia remains the undisputed leader in AI acceleration technology. The company supplies the raw computing infrastructure that powers AI development globally, much like an engine’s horsepower determines a vehicle’s performance. With an estimated 92% market share in data center GPUs, Nvidia has built an almost impenetrable competitive fortress through its CUDA programming ecosystem.

This matters enormously: once hyperscalers—the massive cloud companies building AI systems—invest in Nvidia’s infrastructure, switching costs become prohibitively expensive. They’ve already sunk billions into Nvidia-based systems, and migration would consume enormous time and resources. The company’s $500 billion backlog of orders demonstrates how deeply entrenched Nvidia remains in the AI buildout.

For investors seeking direct exposure to the hardware foundation of AI, Nvidia represents perhaps the clearest best AI stock to buy right now. The company faces emerging competition, yet its ecosystem advantage appears durable through at least 2035.

Cloud Computing and Model Ownership

Microsoft and Amazon control the world’s leading cloud platforms—Azure and AWS respectively—making them natural beneficiaries of surging AI compute demand. But their AI stories run deeper.

Microsoft has secured an approximately 27% stake in OpenAI, creator of ChatGPT, the most widely adopted AI application globally. Owning Microsoft stock essentially provides investors with an indirect equity stake in a major private AI innovator. As AI workloads migrate to Azure, Microsoft’s cloud business should experience significant growth acceleration. Beyond AI, Microsoft offers stability through mature businesses like Windows and Office 365, plus a dividend increased for 23 consecutive years.

Amazon, similarly, operates AWS—the world’s leading cloud infrastructure business—while maintaining an $8 billion investment in Anthropic, OpenAI’s primary competitor. The e-commerce and advertising engines continue generating substantial cash flows, with AI capabilities as a valuable bonus. Amazon arguably remains a compelling investment without considering AI at all; the AI upside functions as additional leverage.

Custom Chips and In-House AI Development

Alphabet deserves recognition as perhaps the most comprehensive AI player available to public investors. Google’s search engine processes trillions of queries annually, making the company a natural leader in AI application. Beyond this, Alphabet operates YouTube (with billions of users), Android (dominating mobile), Google Cloud, and importantly, Waymo—the leading autonomous ride-hailing service.

Alphabet has engineered its own AI chips called Tensor Processing Units (TPUs) and trained Gemini, its advanced AI model, on this custom silicon. The company now plans to commercialize TPUs for external customers, potentially challenging Nvidia’s dominance. Additionally, Alphabet owns approximately 7% of SpaceX, providing indirect exposure to Starlink’s satellite internet infrastructure—a potential accelerant for global AI deployment.

For investors wanting to buy the best AI stock with maximum optionality and diversification within the AI ecosystem, Alphabet represents a compelling choice with exposure to consumer platforms, cloud services, custom semiconductor design, and emerging AI ventures.

Staking Private AI Innovation

Beyond the cloud giants, Palantir Technologies represents something different: a pure-play AI software opportunity. Palantir specializes in developing custom applications on proprietary platforms, and the company has been winning government and enterprise contracts at an accelerating pace since launching AIP, its AI-focused platform, in mid-2023.

With fewer than 1,000 customers currently, Palantir has a substantial runway for customer acquisition over the next decade. This expansion potential could fuel remarkable growth, though investors should note the stock’s premium valuation creates risk if near-term execution stumbles. Patient, long-term investors might consider building positions gradually, preserving cash for potential pullbacks.

The Investment Strategy for the Next Decade

The fundamental insight for 2026 through 2035 remains straightforward: invest in companies controlling critical AI infrastructure, whether that’s computing power (Nvidia), cloud platforms (Microsoft, Amazon), semiconductor design and platforms (Alphabet), or enterprise software applications (Palantir). These five stocks collectively offer the most direct public exposure to the AI opportunity without the risk of betting on still-private companies.

Historical perspective is instructive. Investors who bought Netflix in 2004 saw returns exceed 50,000% by 2025. Those who purchased Nvidia in 2005 realized approximately 1,100,000% gains. While past performance never guarantees future results, the pattern suggests that buying best-in-class companies early in transformational technological shifts has rewarded patient capital substantially.

The best AI stocks to buy today balance several factors: entrenched market positions, sustainable competitive advantages, direct or indirect exposure to the AI opportunity, and reasonable paths to growth through 2035. These five companies meet that criteria. Rather than chasing unproven private startups, investors can build a high-conviction portfolio of the leaders most likely to benefit from the AI transformation unfolding over the next decade.