Will Ebiefung, The Motley Fool
4 min read
In This Article:
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Nvidia's generative AI business is still doing well, but growth seems to be stalling.
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New technologies like self-driving cars and robotics could be the key to its long-term success.
Technology companies must constantly evolve to stay relevant. And Nvidia (NASDAQ: NVDA) is no stranger to this phenomenon. Founded in 1993, the legendary chipmaker first made its name in video game graphics, eventually getting a notable boost from cryptocurrency mining before its big break with the arrival of generative AI in late 2022.
Now, Nvidia's data center business (where it sells AI chips) represents 89% of its $44.1 billion in total revenue, while the once-core gaming segment represents just under 9%.
But this is not the time for management to rest on its laurels. There are already signs that its AI chip business could be slowing. And over the next decade, a transition to new business verticals could be key to the company's success.
The start of a new megatrend will often see a flurry of capital spending as hardware improves rapidly and companies throw caution to the wind to avoid falling behind their rivals. But eventually, the technological improvement will slow down, competition will increase, and margins will start to decline.
The networking hardware company Cisco Systems experienced this during the dot-com bubble. Shares have still never surpassed their all-time high reached in 2000.
So far, there is no sign that Nvidia is on the cusp of crashing like Cisco. With a forward price-to-earnings multiple (P/E) of just 34, its valuation remains very reasonable, considering its growth rate. For context, the S&P 500 averages a P/E of 29. However, there are some early signs that its generative AI hardware business might be starting to cool.
The company's revenue growth has decelerated to 69% (down from 262% last fiscal quarter). And while this may have something to do with the recent ban on chip exports to China, the bigger story may be that its customers are increasingly turning to in-house solutions for their AI hardware needs.
The good news is that Nvidia has several promising new verticals that could help diversify its revenue streams over the next decade.
Nvidia's expertise in designing and producing cutting-edge computer chips will give it an advantage in opportunities outside of just generative AI. Robotics and self-driving cars could be the next big thing.
For example, Tesla has already made extensive use of Nvidia's chips to create its supercomputer Dojo, which supports the training of its humanoid robots and self-driving taxis. The latter program began commercial operations in Austin, Texas, this month. While it is unclear how these businesses will perform over the long term, they have epic potential.
