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Analyst Lauds Meta Platforms (META)’s ‘Big First Step’ To Monetize AI Models

We recently published a list of Top 10 AI Stocks on Investors’ Radar These Days. In this article, we are going to take a look at where Meta Platforms (NASDAQ:META) stands against other top AI stocks on investors’ radar these days.

The debate around AI systems hitting a “data wall” or plateau is heating up in the tech industry with many arguing that the performance of AI models is not showing signs of further improvement amid a lack of quality inputs, causing scaling issues in the industry.

CNBC’s Deirdre Bosa recently discussed this debate in a program and said:

“All it feels like anyone is talking about right now in tech is this debate over scaling laws and a data wall, which continues to rage in Silicon Valley. This is the idea that more data and bigger models will always lead to better AI, with some arguing that progress has peaked or is starting to plateau. Put another way, it’s a debate over a core assumption in AI that could have massive implications for the industry, from valuations to the GPUs powering it, and of course, the Nvidia story. I was at the Newcomer AI conference yesterday here in San Francisco. It was the theme of the day, with everyone from Scale AI’s Alexander Wang to Anthropic’s Dario Amodei to Databricks’ Ali Ghodsi weighing in.”

Jensen Huang was also asked about the issue of AI systems hitting a data wall and possible scaling issues in a latest earnings call. Here is what he said:

“A foundation model pre-training scaling is intact and it’s continuing. As you know, this is an empirical law, not a fundamental physical law, but the evidence is that it continues to scale. What we’re learning, however, is that it’s not enough that we’ve now discovered two other ways to scale. One is post-training scaling. Of course, the first generation of post-training was reinforcement learning human feedback, but now we have reinforcement learning AI feedback and all forms of synthetic data generated data that assists in post-training scaling.”

Read Huang’s comments in detail here.

Bosa mentioned some other tech leaders pushing back against the idea of AI hitting a data wall and said:

“…..also acknowledge that this alone isn’t enough to push AI further, and progress will come from post-training scaling, which is the development of AI applications on top of existing models. He and others say this will still require massive amounts of compute power.

An open question remains: will it be as much? A helpful way to frame that next phase of AI development is digestion or innovation. Maybe both are possible, but digestion might suggest a pullback on the huge amounts of spending and capital expenditures we’ve seen over the last few years. Innovation, on the other hand, could mean doubling down, with just another phase of development beginning. It’s still very much an open question.”

READ ALSO Jim Cramer’s Latest Lightning Round: 11 Stocks to Watch and Jim Cramer on AMD and Other Stocks

For this article we picked 10 AI stocks currently trending on the back of latest analyst ratings and news. With each stock we have mentioned the number of hedge fund investors. 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).

Photo by Timothy Hales Bennett on Unsplash

Meta Platforms, Inc (NASDAQ:META)

Number of Hedge Fund Investors: 235

Jefferies recently said in a note that Meta Platforms, Inc (NASDAQ:META)’s hiring of Clara Shih, former CEO of AI at Salesforce (CRM), is a bullish move, and the company’s creation of a new AI unit focused on business tools is a significant step toward monetizing AI.

“We think Clara’s experience at CRM building Agentforce will be advantageous in META’s efforts to build Gen AI tools & agents for the >200M businesses that leverage WhatsApp, IG & FB each month,” the research firm stated.

They also pointed out that Shih is already familiar with Meta Platforms, Inc (NASDAQ:META)’s and social ecosystem.

“To date, META has relied on other software companies like AMZN, MSFT to sell its software (e.g. llama) into the enterprise. We believe this hiring & new business group could be a big first step in META’s plans to directly sell into the enterprise & monetize Llamas Open Source traction,” Jefferies added.

Meta Platforms, Inc (NASDAQ:META) was reiterated as a “buy” with a $675 price target.

Despite posting strong quarterly results, Meta Platforms (NASDAQ:META) shares fell as rising AI-related expenses yet again spooked investors about ROI. However, Meta platforms (NASDAQ:META) bulls believe Zuckerberg’s plan to keep spending on AI is totally justified.

Meta Platforms (NASDAQ:META) is driving usage and ads revenue by improving its algorithms and user experience thanks to AI. Meta also reported strong adoption of its Llama AI model, attracting over 500 million monthly active users across its platforms. This progress positions Meta well for robust profitability in the next two years as it scales its AI infrastructure.

Meta Platforms (NASDAQ:META)’s advancements in Reels and WhatsApp are helping manage CapEx growth as the company strives to stay competitive in AI.

Meta Platforms (NASDAQ:META)’s clear monetization strategy for its generative AI, especially with Llama3, makes it a strong contender against rivals like OpenAI’s ChatGPT. Meta Platforms (NASDAQ:META)’s substantial user base of 3.3 billion provides a data and distribution edge that could capture a significant share of the GenAI market. Although short-term investors may be concerned about Meta Platforms (NASDAQ:META)’s increased AI spending, its forward P/E ratio of 24x, based on FY 2025 EPS estimates of $24.62, makes it the second-most affordable big tech stock, after Google, within its peer group (Apple, Amazon, Microsoft, and Google).

According to some estimates, Meta Platforms (NASDAQ:META) is on track to potentially achieve $25-26 per share in EPS next year, slightly above the consensus estimate. Factors such as a strong U.S. economy, lower inflation, favorable online ad pricing, and AI investments could fuel earnings growth. If Meta’s valuation aligns with the industry average P/E of 26.6x, shares could reach over $600.

Alger Spectra Fund stated the following regarding Meta Platforms, Inc. (NASDAQ:META) in its Q3 2024 investor letter:

“Meta Platforms, Inc. (NASDAQ:META) operates the world’s largest social network, with over 3 billion monthly active users. The company generates more than 95% of its revenue from advertising, evenly split between North America and international markets. During the quarter, shares contributed to performance following the release of strong fiscal second quarter operating results, with revenues and earnings beating analyst estimates. Management also raised their fiscal 2024 revenue guidance, citing improved advertising monetization. CEO Mark Zuckerberg stated that AI has played a key role in these successes, as the company is leveraging AI to enhance targeting, measurement, ranking, and ad delivery. Higher user engagement, driven by video ranking, content recommendations, and single video views, has also supported growth. Additionally, the optimization of ad placements within videos and automation of ad campaigns are further boosting monetization.”

Overall, META ranks 2nd on our list of top AI stocks on investors’ radar these days. While we acknowledge the potential of META, our conviction lies in the belief that under the radar 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 META 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.

The $250 Trillion AI Hype is Real. A few years from now, you’ll probably wish you’d bought this stock.

When Jeff Bezos said that one breakthrough technology would shape Amazon’s destiny, even Wall Street’s biggest analysts were caught off guard.

Fast forward a year and Amazon’s new CEO Andy Jassy described generative AI as a “once-in-a-lifetime” technology that is already being used across Amazon to reinvent customer experiences.

At the 8th Future Investment Initiative conference, Elon Musk predicted that by 2040 there would be at least 10 billion humanoid robots, with each priced between $20,000 and $25,000.

Do the math. According to Musk, this technology could be worth $250 trillion by 2040.

Put another way, that’s roughly equal to:

  • 175 Teslas
  • 107 Amazons
  • 140 Metas
  • 84 Googles
  • 65 Microsofts
  • And 55 Nvidias

And here’s the wild part — this $250 trillion wave isn’t tied to one company, but to an entire ecosystem of AI innovators set to reshape the global economy.

It’s a leap so massive, it could reshape how businesses, governments, and consumers operate worldwide.

Even if that $250 trillion figure sounds ambitious, major firms like PwC and McKinsey still see AI unlocking multi-trillion-dollar potential.

How could anything be worth that much?

The answer lies in a breakthrough so powerful it’s redefining how humanity works, learns, and creates.

And this breakthrough has already set off a frenzy among hedge funds and Wall Street’s top investors.

What most investors don’t realize is that one under-owned company holds the key to this $250 trillion revolution.

In fact, Verge argues this company’s supercheap AI technology should concern rivals.

Before I reveal the details, let’s talk about how some of the richest people on the planet are positioning themselves.

  • Bill Gates sees artificial intelligence as the “biggest technological advance in my lifetime,” more transformative than the internet or personal computer, capable of improving healthcare, education, and addressing climate change.
  • Larry Ellison — through Oracle, is spending billions on Nvidia chips and partnering with Cohere to embed generative AI across Oracle’s cloud and apps.
  • Warren Buffett — not known for tech hype — says this breakthrough could have a ‘hugely beneficial social impact.

When billionaires from Silicon Valley to Wall Street line up behind the same idea — you know it’s worth paying attention to.

Even as we admire what Tesla, Nvidia, Alphabet, and Microsoft have built, we believe an even greater opportunity lies elsewhere…

But the real story isn’t Nvidia — it’s a much smaller company quietly improving the critical technology that makes this entire revolution possible.

And judging by what I’m hearing from both Silicon Valley insiders and Wall Street veterans…

This prediction might not be bold at all:

A few years from now, you’ll wish you’d owned this stock.

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