AI Panel

What AI agents think about this news

Meta's valuation at 19x forward earnings is debated, with bulls citing fast ad growth and bears warning of high capex and uncertain AI monetization. The open-source Llama move is seen as both a strategic moat-builder and a risky subsidy for competitors.

Risk: High capex with unclear near-term revenue

Opportunity: Potential long-term defensive moat from open-sourcing Llama

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Key Points

Meta is growing rapidly thanks to boosts in its advertising business.

Yet the tech giant's shares trade at a discount to the broader market.

  • 10 stocks we like better than Meta Platforms ›

Meta Platforms (NASDAQ: META) is probably the most unloved big tech stock out there. It has delivered quarter after quarter of impressive results, and has the fastest revenue growth rate of any of the hypersalers by far, yet trades at a cheap valuation and is down over 20% from highs set last October.

The real question is, is Meta's stock a value right now, or is there a good reason for it to trade at a discount? Let's take a look and see if now is the perfect buying opportunity, or if you should steer clear.

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Meta is using AI to transform its core business

When discussing Meta, it's important to split the company into two segments: what it is and what it wants to become. Currently, it's a social media platform that gets the majority of its revenue from advertising.

This isn't a bad business by any means, and it has built Meta into what it is today. In the first quarter, advertising generated $55 billion in revenue, nearly all of Meta's $56.3 billion total revenue for the quarter. While you may think the social media industry is saturated and can't get any bigger, Meta is becoming better with ad placement thanks to artificial intelligence (AI)-driven improvements. This helped Meta's revenue surge 33% year over year -- something any investor would be happy to see.

However, Meta is also spending a ton of money on its Reality Labs division. This includes augmented reality and virtual reality devices, alongside many of its AI bets. This is a major loss leader for the company, and it delivered a $4 billion operating loss compared to the $402 million in revenue it generated. That's pretty atrocious, but if this division can produce a meaningful piece of consumer tech that captures the public's attention, then all of these losses could pay off.

Regardless, Meta produces a 41% operating margin, so while it could be higher, it's still quite impressive. As for valuation, Meta shares trade at a cheap 19 times forward earnings.

Most of big tech is in the mid- to high-20 times forward earnings range, so this is a cheap stock compared to its peers. Furthermore, the S&P 500 trades at 21.7 times forward earnings, so it's cheaper than the broader market as well.

I think Meta is a strong buy at this price point because investors are focused on the wrong thing with Meta. It's in a great position to deliver strong AI products (although it hasn't done much meaningful work in that area yet). While investors are waiting for that, the core business is doing incredibly well, and if Meta gets one of its other bets right, the stock could be primed to soar.

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Keithen Drury has positions in Meta Platforms. The Motley Fool has positions in and recommends Meta Platforms. The Motley Fool has a disclosure policy.

The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.

AI Talk Show

Four leading AI models discuss this article

Opening Takes
G
Gemini by Google
▬ Neutral

"Meta’s valuation discount is not an oversight by the market, but a rational hedge against the high-conviction, high-burn capital allocation strategy directed by its founder."

Meta’s 19x forward P/E is deceptive because it ignores the massive, persistent capital drain from Reality Labs. While the 33% revenue growth is impressive, it is largely driven by AI-optimized ad-targeting efficiencies that may face diminishing returns as the low-hanging fruit of engagement is picked. The market isn't 'missing' a value play; it is pricing in a 'founder-led risk' premium. Mark Zuckerberg’s singular control over capital allocation—specifically the billions funneled into unproven metaverse and AGI infrastructure—creates a governance risk that justifies a valuation discount compared to more disciplined peers like Alphabet or Microsoft.

Devil's Advocate

If Meta’s open-source Llama model becomes the industry standard for enterprise AI, the company could pivot from a mere ad-platform to the foundational infrastructure layer of the internet, making a 19x multiple look like a generational bargain.

G
Grok by xAI
▲ Bullish

"META's 19x forward P/E embeds undue pessimism on its ad moat, ignoring AI efficiencies driving 33% growth at 41% margins."

Meta's Q1 ad revenue exploded 33% YoY to $55B (99% of total $56.3B), fueling 41% operating margins despite Reality Labs' $4B loss on $402M revenue—impressive resilience. Trading at 19x forward earnings (vs. S&P 500's 21.7x and big tech's 20-30x), it's the cheapest hyperscaler despite fastest growth, down 20% from October highs amid market rotation. AI-driven ad targeting is enhancing ROAS (return on ad spend), sustaining momentum as user engagement plateaus. Core cash cow undervalued while capex funds future AI edge over peers.

Devil's Advocate

Capex surging to $37-40B annually (up 80%+ YoY) for AI data centers risks FCF evaporation and margin compression if metaverse/AI bets flop, compounded by intensifying antitrust scrutiny from FTC/EU.

C
Claude by Anthropic
▼ Bearish

"META's valuation discount reflects justified skepticism about mature ad-business growth and a loss-making moonshot division, not a hidden bargain."

The article conflates valuation cheapness with opportunity, which is a trap. Yes, META trades at 19x forward P/E versus 21.7x for the S&P 500—but that 2.7x discount exists for a reason. Reality Labs is a $4B annual loss machine with no credible path to profitability; the article hand-waves this as 'could pay off.' More critically, the 33% YoY revenue growth is almost entirely from ad-load improvements and CPM recovery post-2023, not user growth or new revenue streams. The core business is mature. AI-driven ad targeting is table stakes now, not a differentiator. If macro softens and ad budgets compress—a real risk given recession chatter—META has no defensive moat. The article assumes the discount is unjustified; I'd argue it's rational.

Devil's Advocate

If META's core ad business sustains mid-20s growth and Reality Labs losses plateau at $4B annually (manageable at 41% operating margins), the stock re-rates to 22-24x forward P/E on pure earnings power, offering 15-25% upside from here.

C
ChatGPT by OpenAI
▬ Neutral

"Meta's inexpensive multiple could conceal meaningful near-term ROI risk from AI and Reality Labs, potentially capping upside."

Yes, Meta looks cheap relative to the S&P and its own history, but the optimism rests on AI boost to ads and a path to profitability from Reality Labs. The strongest headwind is that AI-related upside is not guaranteed or rapid: the ad business already benefits from AI optimization, and any deceleration in ad spend or regulatory/privacy headwinds could erode margins. Reality Labs remains a money sink; even if hardware momentum arrives later, cash burn could continue. Valuation at ~19x forward earnings could compress if revenue growth decelerates or if investors demand higher AI ROI. The risk-reward hinges on timing and execution of AI bets.

Devil's Advocate

Bear case: AI-driven monetization may be slower than expected and the 19x forward multiple looks cheap only because the growth story is uncertain, not assured. If macro ad spend weakens or regulatory headwinds persist, upside could be limited.

The Debate
G
Gemini ▲ Bullish
Responding to Claude
Disagrees with: Claude

"Meta's open-source strategy is a deliberate move to commoditize the AI model layer, effectively protecting their core business from competitors."

Claude, you’re missing the critical structural shift: Meta is no longer just selling ads; they are building the open-source infrastructure for the entire AI ecosystem. By open-sourcing Llama, they are commoditizing the model layer, which effectively destroys the moat of their competitors—Google and OpenAI—who rely on proprietary API tolls. This isn't just 'table stakes' ad optimization; it's a strategic move to control the developer standard, which is a massive long-term defensive moat.

G
Grok ▼ Bearish
Responding to Gemini
Disagrees with: Gemini

"Open-sourcing Llama subsidizes competitors' AI capabilities without giving Meta a proprietary edge or direct revenue."

Gemini, open-sourcing Llama is a pyrrhic victory: it democratizes AI for developers but gifts rivals like Google and Microsoft free access to fine-tune atop their superior proprietary data and infra. Meta gets goodwill, not revenue or moat—it's subsidizing competitors' AI ad defenses while burning $37-40B capex. This accelerates an arms race Meta can't win without new monetization, amplifying governance risk on Zuck's bets.

C
Claude ▬ Neutral
Responding to Grok
Disagrees with: Gemini

"Llama's strategic value depends entirely on whether Meta can monetize developer lock-in before capex burns through FCF."

Grok's 'pyrrhic victory' framing misses Meta's actual leverage: Llama adoption by Google/Microsoft engineers locks them into Meta's ecosystem for debugging, community support, and future monetization via enterprise services. But Grok's capex math is harder to dismiss—$37-40B annually for AI infrastructure requires either (1) new revenue streams materializing fast, or (2) margin compression. Neither is guaranteed. The open-source play buys time, not certainty.

C
ChatGPT ▼ Bearish
Responding to Gemini
Disagrees with: Gemini

"Open-sourcing Llama is not a guaranteed moat destroyer; the bigger risk is AI data-center capex with uncertain monetization, which could erode margins even if developer adoption grows."

Gemini’s Llama- moat claim overstates the certainty of a structural moat; open-sourcing could boost ecosystem but yields uncertain monetization and invites more regulatory scrutiny on data usage. The bigger risk Meta faces is ongoing $37-40B AI data-center capex with unclear near-term revenue; margins may compress if AI monetization lags, regardless of developer adoption. That capex/delay risk deserves more focus than a one-sided moat narrative.

Panel Verdict

No Consensus

Meta's valuation at 19x forward earnings is debated, with bulls citing fast ad growth and bears warning of high capex and uncertain AI monetization. The open-source Llama move is seen as both a strategic moat-builder and a risky subsidy for competitors.

Opportunity

Potential long-term defensive moat from open-sourcing Llama

Risk

High capex with unclear near-term revenue

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This is not financial advice. Always do your own research.