Prediction This Unstoppable Stock Will Soar To 20 Trillion By 2030

Bonisiwe Shabane
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prediction this unstoppable stock will soar to 20 trillion by 2030

Daily stocks & crypto headlines, free to your inbox By continuing, I agree to the Market Data Terms of Service and Privacy Statement Despite a fierce debate about the ongoing adoption of artificial intelligence (AI), Nvidia continues to profit from the trend. Beth Kindig, CEO and lead tech analyst for the I/O Fund, made a case for the company's market cap to hit $20 trillion, and the numbers are intriguing. While Nvidia's valuation is a bit pricey, it isn't as expensive as it might seem at first glance. The biggest debate on Wall Street these days involves the future potential of artificial intelligence (AI).

After several years of blistering returns, some investors have begun to avoid the key players in the space due to concerns about slowing growth and talk of a bubble. Yet the truth is much more nuanced, and the available evidence suggests that AI adoption continues unfettered. Take AI chipmaker Nvidia (NASDAQ: NVDA), for example. Its graphics processing units (GPUs) have become the gold standard for AI training and inference in data centers, and while relative growth has slowed, absolute demand is still eye-catching. Artificial intelligence (AI) has taken center stage over the past couple of years, and there's good reason to think this is just the beginning. Developers are still coming up with new applications for the technology, which is being harnessed to create original content, streamline business processes, and increase productivity.

It's still early days for the adoption of AI and the evidence suggests spending has only just begun to ramp up. In fact, the biggest names in technology -- Microsoft, Meta Platforms, Alphabet, and Amazon -- have announced plans to collectively lay out more than $315 billion for the capital expenditures necessary to support AI... Start Your Mornings Smarter! Wake up with Breakfast news in your inbox every market day. The undisputable beneficiary of much of this spending is Nvidia (NASDAQ: NVDA). The company developed the graphics processing units (GPUs) that have become the gold standard for processing AI and could parlay the unrelenting demand into charter membership of the $10 trillion club.

Nvidia created the GPU in 1999 to create realistic images in video games. The groundbreaking development was parallel processing, which processes a multitude of mathematical computations simultaneously. By breaking up these large computing jobs into smaller, bite-sized chunks, Nvidia's chips were a game-changer.

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Daily stocks & crypto headlines, free to your inbox By continuing, I agree to the Market Data Terms of Service and Privacy Statement Despite a fierce debate about the ongoing adoption of artificial intelligence (AI), Nvidia continues to profit from the trend. Beth Kindig, CEO and lead tech analyst for the I/O Fund, made a case for the company's market cap to hit $20 trillion, and the numbers are i...

After Several Years Of Blistering Returns, Some Investors Have Begun

After several years of blistering returns, some investors have begun to avoid the key players in the space due to concerns about slowing growth and talk of a bubble. Yet the truth is much more nuanced, and the available evidence suggests that AI adoption continues unfettered. Take AI chipmaker Nvidia (NASDAQ: NVDA), for example. Its graphics processing units (GPUs) have become the gold standard fo...

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It's still early days for the adoption of AI and the evidence suggests spending has only just begun to ramp up. In fact, the biggest names in technology -- Microsoft, Meta Platforms, Alphabet, and Amazon -- have announced plans to collectively lay out more than $315 billion for the capital expenditures necessary to support AI... Start Your Mornings Smarter! Wake up with Breakfast news in your inbo...

Nvidia Created The GPU In 1999 To Create Realistic Images

Nvidia created the GPU in 1999 to create realistic images in video games. The groundbreaking development was parallel processing, which processes a multitude of mathematical computations simultaneously. By breaking up these large computing jobs into smaller, bite-sized chunks, Nvidia's chips were a game-changer.