Jensen Huang told investors Nvidia expects 70 percent revenue growth over the next year. That’s not a Wall Street guess. That’s the man who controls 80 percent of the AI chip market telling you exactly where this is going. Smart money is already moving.
Why This Moment Is Different
In 2026, every major tech company is racing to build AI infrastructure. According to Bloomberg, hyperscalers including Microsoft, Google, Meta, and Amazon are on track to spend over $320 billion on AI data centers this year alone. That’s more than double what they spent two years ago.
Nvidia sits at the center of all of it. According to Morgan Stanley research, Nvidia holds approximately 80 percent market share in AI accelerators as of mid 2026. The H100, H200, and Blackwell chips are the picks and shovels of this AI buildout. Every new model, every new data center, and every new AI service needs Nvidia hardware to run.
Jensen’s 70 percent projection isn’t wishful thinking. His company posted $60 billion in revenue for fiscal year 2025, up from $26 billion the year before. According to Nvidia’s latest guidance, the company expects that trajectory to continue through 2026 and into 2027.
The Real Story Behind Nvidia’s Numbers
This is where most people get it wrong.
When Jensen says 70 percent growth, most people think: “Great, I should buy the stock.” A few smart ones think: “What does this mean for my business?”
The poor mindset treats Nvidia’s growth as a spectator sport. You watch the stock price. You tweet about it. You tell your friends you knew about Nvidia back when. You do nothing that changes your financial position.
The rich mindset asks a different question: who profits from a world where every company is buying $50,000 GPU chips? Not just Nvidia. Every business built on top of those chips. Every service that helps companies use AI tools. Every creator who learns to move faster using AI.
According to Nvidia’s own earnings data, data center revenue grew 427 percent year over year in 2025. That pace has moderated in 2026 but the absolute dollar numbers keep climbing. Nvidia’s data center business alone is now larger than the entire company was three years ago.
Jensen has been specific about what’s driving the next wave. It’s not training models anymore. It’s inference. Every time you use ChatGPT, Claude, Gemini, or any AI product, that company is paying to run an Nvidia chip. According to research from Sequoia Capital, AI inference spending is projected to exceed training spending by 2027. Nvidia built chips specifically for this shift.
He also pointed to sovereign AI as a major new growth market. Governments around the world are building national AI infrastructure on Nvidia hardware. According to Nvidia’s Q1 2026 earnings call, sovereign AI deals now represent a double digit percentage of total revenue. That’s a market that barely existed two years ago.
I’ll be direct: the companies that figure out how to build services and products on top of this infrastructure are the ones that will print money over the next decade. The ones watching from the sidelines will wonder how they missed it again.
If you’re building any kind of content or media business, AI video tools like InVideo AI are already changing what one person can produce. What used to require a full production team now takes one person with the right setup. That’s the infrastructure play hiding in plain sight.
What This Means for You
Here’s what I would actually do with this information.
First, understand that 70 percent revenue growth at a $3 trillion company doesn’t happen without pulling forward massive amounts of economic activity. Every dollar Nvidia earns means customers are spending more on AI. That money flows into software, services, and businesses built on top of the hardware.
Second, stop treating AI as something that happens to other companies. If you run a business, AI tools are compressing the cost of production across every category right now. Writing, video, coding, customer service, research, all of it is getting cheaper and faster for people who adopt early. If your competitor adopts in 2026 and you wait until 2028, you’re not catching up on tools. You’re catching up on two years of compounded cost advantages they built while you watched.
Third, find the picks and shovels in your own industry. Nvidia sells chips. The real winners might be the data centers that host them, the companies that train models on them, and the startups that sell software to the businesses using those models.
If you want to build a lean operation without paying monthly subscriptions on every tool forever, AppSumo has a strong catalog of AI and productivity software available as lifetime deals. That’s a real way to build a modern tech stack without the recurring fee drain eating your margins.
The window to move fast on AI adoption is still open. But Jensen’s 70 percent growth number tells you that window is already being priced in.
The Bottom Line
Nvidia growing 70 percent isn’t the story. The story is what happens to every business that doesn’t adapt while Nvidia’s customers build the infrastructure of the next economy. Jensen Huang is telling you the direction. The only question is whether you’re positioning to benefit or just watching. I know which one I’m choosing.
Frequently Asked Questions
Why is Nvidia expecting 70 percent growth next year?
Jensen Huang points to three main drivers: surging demand for AI inference chips, record data center buildouts from hyperscalers, and new sovereign AI contracts from governments worldwide. According to Nvidia’s Q1 2026 earnings call, all three are accelerating at the same time, which stacks the revenue opportunity in a way that’s hard to argue against.
What is AI inference and why does it matter for Nvidia’s growth?
AI inference is what happens every time someone actually uses an AI product. Training a model is a one-time cost. Inference happens billions of times a day. According to Sequoia Capital, inference spending is on track to surpass training spending by 2027, which means a much larger and more recurring revenue stream for Nvidia going forward.
Is Nvidia stock still worth buying after this growth?
I’m not a financial advisor and this isn’t financial advice. What I will say is that buying after a big run because a CEO says more growth is coming is not a strategy. The smarter move is understanding which industries benefit from Nvidia’s dominance and positioning your business or portfolio around those before the crowd figures it out.
What is sovereign AI and how big is it for Nvidia?
Sovereign AI refers to governments building their own national AI infrastructure instead of relying on foreign cloud providers. According to Nvidia’s Q1 2026 earnings call, this segment now represents a double digit percentage of their total revenue. Countries across Europe, Asia, and the Middle East are active buyers, and this demand is just getting started.
How can small businesses benefit from Nvidia’s AI growth?
You don’t need to buy Nvidia stock to win from this trend. Use the AI tools that run on Nvidia hardware to compress your costs and move faster than competitors. The businesses that adopt in 2026 will have structural advantages over those that wait until 2028. The chip is the infrastructure. The product you build on top of it is where the real money is.
