2 AI Robotics Stocks to Buy Before They Soar 185% and 315%, According to Wall Street Experts


Jensen Huang is the CEO of Nvidia (NASDAQ:NVDA)a company whose chips power the vast majority of artificial intelligence (AI) systems. At a technology conference last year, Huang made a bold statement: “The next wave of AI is here. Robotics, powered by physical AI, will revolutionize industries. »

Elon Musk, CEO of Tesla (NASDAQ:TSLA)made a related prediction last year: “I think that by 2040 there will probably be more humanoid robots than humans.”

With this in mind, Citi Group analysts estimate that sales of humanoid robots will reach $14 billion by 2030, $1.1 trillion by 2040, and $7 trillion by 2050. And some Wall Street experts see huge returns on the horizon for Nvidia and Tesla shareholders:

  • Equity analyst Beth Kindig estimates that Nvidia could become a $10 trillion company by 2030. That implies an upside of about 185% from its current market value of $3.5 trillion. If that happens, Nvidia stock will return 19% annually over the next six years.

  • Billionaire fund manager Ron Baron says Tesla could become a $5 trillion company within a decade. This implies an upside of around 315% from its current market value of $1.2 trillion. If this comes to fruition, Tesla shares will return 15% annually over the next 10 years.

Here’s what investors should know about Nvidia and Tesla.

Nvidia is best known for its graphics processing units (GPUs)chips that accelerate complex data center workloads, like running artificial intelligence (AI) applications. Nvidia accounts for 98% of data center GPU sales, and its dominance is largely due to its ecosystem of software development tools called CUDA.

Nvidia Isaac is a bot development platform built on CUDA. It includes code libraries and pre-trained models that help engineers create robotic applications in three distinct use cases: industrial manipulator arms, autonomous mobile robots, and humanoid robots. Isaac also includes a simulation engine that allows developers to generate synthetic training data and test robotic models.

Beyond the data center, Nvidia Jetson systems are embedded chips that bring together GPUs, central processing units (CPUs), memory and storage to form the third and final layer of the robotic computing stack. To elaborate, GPU-accelerated servers provide the supercomputing infrastructure needed to train AI models, Isaac provides the tools needed to build robotic applications, and Jetson systems provide the computing power autonomous robots need to operate .

Nvidia GPUs power most generative AI systems, so investors have reason to believe that these chips will also form the basis of most physical AI systems. While generative AI can create new content, physical AI can understand and interact with the physical world. In other words, physical AI is the technology that will power autonomous robots.

Leave a Reply

Your email address will not be published. Required fields are marked *