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NVIDIA Corporation (NVDA) Launches AI Blueprint for Video Search and Summarization, Expanding Generative AI Capabilities for Developers

We recently compiled a list of the 10 AI News You Shouldn’t Miss. In this article, we are going to take a look at where NVIDIA Corporation (NASDAQ:NVDA) stands against the other AI stocks you shouldn’t miss. John Lovelock, Chief of Research for Global IT Forecasting at Gartner, joined CNBC’s Worldwide Exchange to discuss the major […] Read More...

We recently compiled a list of the 10 AI News You Shouldn’t Miss. In this article, we are going to take a look at where NVIDIA Corporation (NASDAQ:NVDA) stands against the other AI stocks you shouldn’t miss.

John Lovelock, Chief of Research for Global IT Forecasting at Gartner, joined CNBC’s Worldwide Exchange to discuss the major catalyst for IT spending in 2025: Generative AI. He states that companies are now moving from cost-saving optimizations and any upgrading they have been focused on for the past eighteen months, with growth back on their agenda. For 2025, “they are shifting back to growth”, he says, emphasizing the need for GenAI to boost revenue expansion.

READ ALSO: 15 Trending AI Stocks on Latest Analyst Ratings and News and Top 10 Trending AI Stocks to Watch in November 

Lovelock further elaborates that most of the growth in GenAI spending this year and next year is in the tech sector. All the big-tech companies are building the AI infrastructure needed for GenAI, whereas software companies are spending to incorporate GenAI in their products and services. The biggest area of growth next year, however, is data centers, projected to grow over 15%. When asked if this is a slowdown from the previous year’s 35% growth, he remarked that the denominator is getting “awfully big”.

Enterprises, banks, governments, retailers, and everyone else are building up or buying AI-optimized servers. However, the biggest purchasers are still the hyperscalers. The massive amount of money they are going to be spending will surpass all of the money Big Tech companies have previously spent on CPU servers from 2000 to 2026. While the net increase continues, the sheer spending of the hyperscalers is keeping the growth rate down, Lovelock notes.

New estimates from Morgan Stanley reinstate the same, with four of the Big Tech companies expected to invest about $300 billion in capital expenditures next year, and 2026 is expected to be even bigger. The bank notes that much of the CapEx is focused on hyperscalers. These hyperscalers, with their extensive cloud networks, are in a significant multi-year investment cycle driven by the pursuit of opportunities in generative AI and large language models.

“These high and rising CapEx numbers again speak to the importance of continued disclosure about new/incremental adoption, engagement, and revenue opportunities each of the four companies are seeing and investing in”.

In recent AI news, we’ve seen prominent announcements from companies unveiling breakthroughs in large language models, AI hardware, and partnerships that aim to incorporate AI more deeply into core business functions. On November 5, CNBC reported that Perplexity AI, the artificial intelligence startup, is in the final stages of raising $500 million in funding at a $9 billion valuation. The company has been gaining significant investor attention due to the generative AI boom.

In other news, You.com and TollBit’s have created a partnership for the first-of-its-kind AI agent. “Election Agent” will be able to access accurate, authoritative results and race calls from Decision Desk HQ — the election data provider that was the first to call the presidential elections of 2016 and 2020. Americans will be able to access the same election results, race calls, and data that are provided by major news organizations but through an accessible AI chat interface.

“There’s a big unsolved need in the AI industry: scalably connecting AI companies directly with authoritative data sources. With the first presidential election in the AI era, concerns about misinformation are at the forefront. Much of today’s data isn’t readily accessible. Through our platform, Decision Desk HQ made its real-time election APIs available to AI companies at scale. This partnership with You.com, which has set the standard for grounded, accurate AI responses, demonstrates that AI can deliver real-time information responsibly when connected to authoritative sources. That’s ultimately what builds trust in AI – giving it direct access to ground truth data”.

For this article, we selected AI stocks by going through news articles, stock analysis, and press releases. These stocks are also popular among hedge funds.

Why are we interested in the stocks that hedge funds pile into? The reason is simple: our research has shown that we can outperform the market by imitating the top stock picks of the best hedge funds. Our quarterly newsletter’s strategy selects 14 small-cap and large-cap stocks every quarter and has returned 275% since May 2014, beating its benchmark by 150 percentage points (see more details here).

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Number of Hedge Fund Holders: 179

NVIDIA Corporation (NASDAQ:NVDA) engineers the most advanced chips, systems, and software for the AI factories of the future. As artificial intelligence and generative AI gain traction, the company has become a favorite in the AI space.

On November 4, NVIDIA Corporation (NASDAQ:NVDA) announced the launch of a new NVIDIA AI Blueprint for video search and summarization, enabling developers in practically any industry to build visual AI agents that analyze video and image content by leveraging NVIDIA computer vision and generative AI technologies. The agents will be able to answer user questions, generate summaries, and also enable alerts for specific scenarios. It is going to be a part of NVIDIA Metropolis, a set of developer tools for building vision AI applications. The new NVIDIA blueprint allows visual computing developers to build and deploy generative AI-powered assistants through a full suite of optimized software with the help of NVIDIA’s partner ecosystem. Moreover, these visual agents can be customized with natural language prompts, making it easy to develop virtual assistants across industries.

Overall NVDA ranks 4th on our list of the AI stocks you shouldn’t miss. While we acknowledge the potential of NVDA as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and doing so within a shorter timeframe. If you are looking for an AI stock that is more promising than NVDA but that trades at less than 5 times its earnings, check out our report about the cheapest AI stock.

 

READ NEXT: 8 Best Wide Moat Stocks to Buy Now and 30 Most Important AI Stocks According to BlackRock.

 

Disclosure: None. This article is originally published at Insider Monkey.

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