It could be time to start looking for better AI stocks to buy…
How Tesla's New Supercomputer Could Upend the AI Race
Editor's Note:Below is a guest essay from InvestorPlace Senior Analyst Luke Lango. Luke's AI Trader service is built around the stages stocks are constantly moving through — and buying and selling at the right times to maximize returns. Below he explains how it's time for investors to start looking beyond an obvious AI stock. Plus, he shares a recent service upgrade that is set to make returns even better.
Morgan Stanley recently upgraded Tesla (TSLA) stock with a Street-high price target of $400. Its reasoning? Tesla's Dojo supercomputer will unlock $500 billion in economic value.
And while most investors were mesmerized by the 10% pop in TSLA stock on that same day, I was busy thinking about something else.
If Dojo is the "real deal" — and I think it is — then this could mark the end of Nvidia's (NVDA) rule as the leader of the AI Boom.
Wall Street's AI Boom began in late 2022 with ChatGPT's launch. Since then, Nvidia has been the poster child for AI stocks. That's all thanks to burgeoning demand for the firm's next-generation GPUs, which are used to make and run robust AI models. NVDA stock has surged more than 200% higher this year alone.
But there is growing concern among some in the industry that demand for Nvidia GPUs is maxing out — and that the big players in the AI Race will start using different GPUs.
With Nvidia's dominance in AI, its trailblazing technology, and the escalating demand for AI applications it makes a robust candidate for continued growth.
But if you feel like you missed out on Nvidia's meteoric rise, and you don't want to wait around for a pullback, there are smaller players out there ready to breakout...
Dojo is Tesla's supercomputer. It is the "brain" behind the firm's self-driving operations.
It's fed driving data from the abundance of Tesla cars on the road. Then it parses through all that data to develop self-driving algorithms that power Tesla cars' autonomous vehicle capabilities.
Dojo is Tesla's AI.
And it doesn't use Nvidia GPUs.
Tesla used to power all of its self-driving operations with a large Nvidia GPU-based supercomputer. Dojo is set to replace that.
In other words, Tesla previously used Nvidia GPUs. But now Tesla has developed its own supercomputer that uses its own GPUs custom-built for its AI needs.
And that gets to the crux of the problem here: customization.
In the early innings of the AI Boom, Nvidia won big by supplying very advanced but very general-use GPUs to companies looking to develop broad AI models.
But as the AI Race has matured, those companies are now looking to develop more sophisticated and specialized AI models. For that, they need custom-built GPUs. And economically speaking, it doesn't make sense for Nvidia to create custom-built GPUs for every single one of its customers.
So, Nvidia's largest customers are developing their own custom-built GPUs to meet their own specialized AI needs.
Tesla and its Dojo supercomputer are just one example.
Custom-Built AI Tech Is on the Rise
In fact, every Big Tech firm building AI models that formerly relied on Nvidia are now developing their own custom-built chips.
Amazon (AMZN) has developed two chips customized specifically to build AI models on the firm's cloud service, AWS. One is for high-performance inference (AWS Inferentia) and one is for deep-learning training (AWS Trainium). Together, Amazon believes these two chips could power all future AI functions on AWS.
Meanwhile, Alphabet (GOOGL) is already on the fifth generation of its custom Tensor Processing Units, or TPUs, for neural network development.
Reportedly, Microsoft (MSFT) has invested heavily in its own secretive AI chip development project, codenamed Athena. And news broke earlier this year that Meta (META) is developing its own custom chip for running AI models, dubbed the MTIA chip — or Meta Training and Inference Accelerator chip.
Big Tech has made its move.
It's going all-in on AI, and none want to depend on Nvidia to help them win the "AI Race."
They all want to do it themselves.
That's why we believe you need to start looking for the top AI stocks to buy — not named Nvidia.
Imagine you could ask an A.I. program what price Google stock is going to be next month...
Or how much the price of gold is going up or down...
And what if it could predict those outcomes with astonishing accuracy?
Well, believe it or not, one of the world's leading financial tech companies, a company called TradeSmith, launched a program recently that does exactly that...
Big Tech firms aren't the only companies dabbling in AI.
We're developing some artificial intelligence of our own.
And just recently, we unveiled our new, state-of-the-art AI-powered trading system, dubbed Prometheus.
Prometheus was trained on hundreds of thousands of financial market data points, with the sole purpose of pinpointing when a stock is about to surge higher.
That is, this next-gen artificial intelligence scans the entire stock market every week to gauge the probability that a given stock will surge higher in price over the next month.
All you have to do is ask Prometheus about a stock, and it'll give you a score.
The higher the score, the more likely the stock is to surge over the next month. The lower the score, the less likely.
Forget the guesswork and uncertainty surrounding investing. Prometheus provides answers.
That's an absolute game-changer for anyone with money in the markets.
Imagine knowing, with a quantified measure of certainty, that a stock is either going to go up significantly or down significantly over the next few weeks.
I'm sure it would make a world of difference for your investment strategy. It certainly has for us.
A few weeks ago, we started using this AI in real time. And it helped us find one stock that popped more than 50% in just a week!
TradeSmith is not registered as an investment adviser and operates under the publishers' exemption of the Investment Advisers Act of 1940. The investments and strategies discussed in TradeSmith's content do not constitute personalized investment advice. Any trading or investment decisions you take are in reliance on your own analysis and judgment and not in reliance on TradeSmith. There are risks inherent in investing and past investment performance is not indicative of future results.
Post a Comment
Post a Comment