NVIDIA’s Latest Blowout Earnings: What They Mean for the Future of AI

NVIDIA’s Latest Blowout Earnings: What They Mean for the Future of AI

NVIDIA’s Latest Blowout Earnings: What They Mean for the Future of AI


I remember it like it was yesterday.

My son was an engineering student at Stanford when one of their research teams debuted an autonomous race car named Shelley.

As a self-professed car guy, my interest was immediately piqued.

It was a modified Audi TTS – a beautiful machine with perfect handling. The students even upgraded it with ceramic brakes since they fade slower and are easier to program.

But what really caught my attention wasn’t the car.

It was what powered it.

This self-driving project was made possible by semiconductor chips from NVIDIA Corporation (NVDA).

Maybe you’ve heard of ‘em.

I say that tongue-in-cheek, of course, because practically the whole world knows NVIDIA by now.

My introduction to NVIDIA could have happened to anyone. It was one of life’s happy coincidences. But after 40-plus years in this business, I’ve learned that keeping your eyes and ears open is key if you want to be a great investor. You never know when an opportunity is right in front of you.

By that same token, NVIDIA didn’t become the household name it is today because of self-driving cars.

Instead, it took advantage of another happy coincidence – one that changed the future of computing.

Back in 2012, a PhD student named Alex Krizhevsky used NVIDIA’s graphics processing units (GPUs) to train a deep neural network called AlexNet.

This model didn’t require a single line of traditional programming. It taught itself to recognize images. And when it crushed the competition in the ImageNet challenge, it proved that GPUs were far superior to CPUs (central processing units) for AI workloads.

That’s when everything changed.

Practically overnight, NVIDIA’s chips became must-haves for AI.

The AI Revolution was on.

Fast forward to today, and NVIDIA remains at the heart of the AI Revolution. But after such a historic run, investors had one big question ahead of its latest earnings report, which was released yesterday: Can the company keep up the momentum?

Because this time, the stakes were a little different…

  • The rise of DeepSeek, a Chinese AI firm, has raised concerns about competition and the need for high-powered chips. (I discussed what happened – and why DeepSeek isn’t a threat – in this article.)
  • Investors are growing concerned about Big Tech’s AI spending habits.
  • Production delays in NVIDIA’s new Blackwell chip had some investors on edge.
  • And as Big Tech companies look to make their own AI chips for internal use, Wall Street was watching closely.

So, in today’s Market 360, let’s break down NVIDIA’s latest results. We’ll dive into what they mean for the AI Revolution, and more importantly – how you can take advantage of the next stage of AI investing… even if you missed the first wave.



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