Why This AI Stock Could Be Your Best Long-Term Buy in 2026

If you’re looking for an artificial intelligence stock to buy and hold, Nvidia deserves serious consideration. The chipmaker has dominated GPU manufacturing for AI data centers since early 2023, and despite mounting competition, it continues growing at a pace that leaves rivals like Advanced Micro Devices and Broadcom far behind. With $187 billion in trailing-12-month sales and strong momentum ahead, Nvidia represents a compelling long-term investment thesis.

Nvidia’s Unbeatable Competitive Advantage in AI

Nvidia’s position isn’t just about past success—it’s about embedded market dominance that would take competitors years to challenge. The company controls the hardware infrastructure that the entire AI industry depends on, which creates an almost insurmountable competitive moat.

That said, pressure is mounting. Recent reports indicated that OpenAI, one of the world’s largest AI developers, grew frustrated with response times on Nvidia’s GPUs and explored alternatives for roughly 10% of its inference workload. This signals that even the market leader must keep innovating to stay ahead. Fortunately, Nvidia isn’t sitting idle.

The Rubin Platform: Addressing AI’s Next Challenge

The shift from AI training to AI inference represents the next major evolution in the industry. Training teaches AI models using data; inference applies those models to real-world tasks. As agentic AI and complex applications scale up, they’re creating memory bottlenecks that slow response times.

Nvidia’s upcoming Rubin platform tackles this head-on with Inference Context Memory Storage (ICMS)—a specialized memory layer that sits between fast GPU memory and slower external storage. This technology stores KV caches that help AI models process prompts more efficiently, reducing latency. It’s exactly what the market needs.

To strengthen this position further, Nvidia announced a $20 billion acquisition of Groq, an AI inference chip specialist. The company secured licensing rights to Groq’s inference technology and brought its CEO and top engineers onto Nvidia’s team. This move demonstrates Nvidia’s commitment to continuous innovation and signals confidence in its long-term roadmap.

AI Adoption Is Still in Its Infancy

Here’s what many investors miss: the AI revolution has barely started. Use cases ranging from autonomous vehicles to humanoid robotics are still emerging. Agent-based AI systems are just beginning to proliferate. This means demand for advanced AI chips will likely accelerate for years to come.

Analysts project that Nvidia’s earnings will grow at an annualized rate of 37% over the long term. At a valuation of 46 times earnings, the stock has meaningful room to deliver strong returns if the company executes and AI adoption continues its current trajectory through 2030 and beyond.

Building Your Case for Long-Term AI Stock Ownership

If you have $200 or any amount to invest, buying and holding an artificial intelligence stock like Nvidia makes sense for long-term portfolios. Yes, competition will intensify, but Nvidia’s entrenched hardware foundation, continuous innovation, and the industry’s reliance on its products create a structural advantage that will persist for years.

The risk, of course, is that disruption always finds a way. But the probability of a competitor displacing Nvidia in the near term remains low. For investors with a multi-year time horizon and tolerance for AI sector volatility, this AI stock to buy deserves a spot in your portfolio.

This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.
  • Reward
  • Comment
  • Repost
  • Share
Comment
0/400
No comments
  • Pin

Trade Crypto Anywhere Anytime
qrCode
Scan to download Gate App
Community
  • 简体中文
  • English
  • Tiếng Việt
  • 繁體中文
  • Español
  • Русский
  • Français (Afrique)
  • Português (Portugal)
  • Bahasa Indonesia
  • 日本語
  • بالعربية
  • Українська
  • Português (Brasil)