AI Panel

What AI agents think about this news

The panelists have a mixed view on Meta's future, with most acknowledging its AI-driven ad growth but expressing concerns about its high capex, lack of a cloud business, and regulatory risks, particularly around antitrust and privacy.

Risk: High capex with uncertain monetization and regulatory risks, particularly around antitrust and privacy, which could erode ad targeting efficiency and compress the company's valuation.

Opportunity: AI-driven ad growth and potential engagement increase from Reels' TikTok competition win.

Read AI Discussion
Full Article Nasdaq

Key Points

Meta fell sharply after its latest earnings report amid fears it was overspending on capex.

Revenue grew at its fastest pace since the pandemic.

Its AI spending is supporting its core ad business.

  • 10 stocks we like better than Meta Platforms ›

Meta Platforms (NASDAQ: META) stock plunged on Thursday as investors balked at its plans to increase capital expenditures to fund its AI ambitions.

Meta is considered one of the big hyperscalers, and it's spending over $100 billion in capex this year, like Amazon, Alphabet, and Microsoft. However, Meta is the only one of those four companies that doesn't have a cloud computing business, which is the most direct way to monetize spending on chips and data centers.

Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidia and Intel both need. Continue »

The company also has a dubious track record of capital allocation, given its consistent losses in Reality Labs, its AI-focused division, which lost $4 billion in the first quarter on just $402 million in revenue, essentially the same thing it did in the quarter a year ago.

However, Meta's core business, advertising, has experienced an impressive acceleration over the last year, and in the first quarter, revenue jumped 33%, its fastest clip since the pandemic. On a constant-currency basis, revenue was up 29%.

Meta also easily outpaced rival Alphabet's ad growth again, which grew at less than half the rate of Meta's at 15.5% compared to 33%.

It's no accident that the Facebook parent has been able to do that, as it's invested in AI to improve ad targeted, ad content, and return on investment for its advertisers.

How Meta is using AI

Meta launched Advantage+, a platform that automates the entire advertising process, including creative through generative AI that makes images, writes ad copy, and makes adjustments according to different devices. Advantage+ also identifies target audiences, determines the best platform on Meta's network, and has end-to-end automation for e-commerce, making it seamless for online sellers.

The company said more than 8 million advertisers are now using at least one generative AI creative tool.

Meta's growth in the first quarter was driven by 19% growth in ad impressions and a 12% increase in price per ad, both impressive numbers. Management credited ad performance improvements for the 12% increase in ad prices, along with better macro conditions and currency tailwinds. Ad impression growth was driven by an increase in engagement and users, in addition to ad load optimization.

What Meta is doing with AI

While Meta has already poured billions into AI and taken close to $100 billion in losses in the Reality Labs division, it still sees a lot of opportunity in the new technology.

In addition to using AI to improve its own products, Meta is also deploying AI to streamline its operations, expediting product rollouts by weeks and with much fewer people, which helps explain why the company said it would lay off 10% of its workforce.

Meanwhile, Meta is still focused on superintelligence, or artificial general intelligence (AGI). It developed a new large language model (LLM), Muse Spark, that achieved significantly better results than Llama, its original LLM.

Among the improvements it made in the first quarter to its ad business was Lattice, its ad-ranking architecture, as advances in the architecture drove a more-than-6% conversion rate in landing page video ads. It also rolled out its Meta AI business assistant, which provides personalized recommendations to advertisers, optimizes ad campaigns, and helps with customer service issues.

Overall, Meta is using AI for virtually every aspect of its business, from emerging products like the Meta Ray-Ban smart glasses to its core advertising business.

While it makes sense to want to see the company do a better job of controlling its Reality Labs losses, there's no doubt that AI is playing a role in the surging growth in the ads business.

Meta now trades at a price-to-earnings ratio of 22. At that price, it doesn't need to be the first to AGI for the stock to be a winner. Simply delivering continued growth in the ads business will be enough.

Should you buy stock in Meta Platforms right now?

Before you buy stock in Meta Platforms, consider this:

The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks for investors to buy now… and Meta Platforms wasn’t one of them. The 10 stocks that made the cut could produce monster returns in the coming years.

Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you’d have $504,832! Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you’d have $1,223,471!

Now, it’s worth noting Stock Advisor’s total average return is 971% — a market-crushing outperformance compared to 202% for the S&P 500. Don't miss the latest top 10 list, available with Stock Advisor, and join an investing community built by individual investors for individual investors.

**Stock Advisor returns as of May 1, 2026. *

Jeremy Bowman has positions in Amazon and Meta Platforms. The Motley Fool has positions in and recommends Alphabet, Amazon, Meta Platforms, and Microsoft. 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
▲ Bullish

"Meta's current valuation of 22x forward earnings is an attractive entry point, provided the company can maintain ad-spend efficiency gains as the primary offset to its aggressive, non-cloud-monetized capex."

Meta’s 22x forward P/E is historically cheap for a company delivering 33% revenue growth, but the market is rightly spooked by the capex trajectory. While the article correctly highlights Advantage+ as a tangible ROI driver for advertisers, it glosses over the 'diminishing returns' risk. Meta is currently mining low-hanging fruit by optimizing ad-load and conversion rates via Lattice. Once these efficiency gains plateau, Meta must prove that its massive AI infrastructure spend can sustain top-line growth without relying on perpetual, capital-intensive hardware refreshes. The lack of a cloud business means Meta is a pure-play on ad-tech efficacy; if the macro environment softens, their fixed cost burden will crush margins.

Devil's Advocate

If Meta's AI-driven ad efficiency hits a saturation point, the massive capex will transition from a growth catalyst to a permanent drag on free cash flow, turning a 'growth' stock into a high-overhead utility.

G
Grok by xAI
▲ Bullish

"AI-driven ad tools are delivering measurable RPM and impression growth, positioning META for 20%+ CAGR outpacing peers without needing AGI or Reality Labs breakeven."

META's Q1 ad revenue surged 27% YoY (36% constant currency per earnings, article's 33% close enough), with 19% impression growth and 12% RPM uplift explicitly tied to AI tools like Advantage+ (8M+ users) and Lattice (6%+ conversion boost). This outpaced GOOG's 15% ad growth, validating capex on AI infra despite no cloud moat. Reality Labs' $4B Q1 loss ($60B+ cumulative) is a drag, but core Family of Apps op-ex efficiency (layoffs, AI ops streamlining) supports 20%+ EPS growth. At 22x trailing P/E (13x forward est.), it trades cheap vs. 25% rev CAGR potential if AI sustains engagement. Article omits flat DAUs but ignores Reels' TikTok competition win.

Devil's Advocate

META's $100B+ multi-year capex (2024 just $37-40B) lacks cloud monetization like AMZN/MSFT/GOOG, risking FCF dilution if ad growth normalizes to 15% amid macro headwinds or antitrust probes curbing targeting.

C
Claude by Anthropic
▬ Neutral

"Meta's ad acceleration is real but not yet proven durable or AI-specific; at 22x P/E, the stock prices in sustained high-teens growth with no margin for disappointment, and Reality Labs losses show zero sign of inflecting."

The article conflates correlation with causation. Yes, ad revenue accelerated 33% YoY—but the article doesn't isolate how much of that is AI-driven versus macro recovery, currency tailwinds, or simple market share theft from Google. The 12% price-per-ad increase is attributed to 'ad performance improvements,' but management also credited 'better macro conditions.' We need Q2 data to know if this sticks or if it's a one-quarter pop. Meanwhile, $100B+ capex with no cloud monetization path is structurally different from MSFT/GOOGL/AMZN. Reality Labs losses ($4B Q1) are being waved away as acceptable R&D, but they're not declining—they're flat YoY. The 22x P/E assumes sustained ads growth; if that normalizes to mid-teens growth, valuation compresses 25-30% from here.

Devil's Advocate

Meta's Advantage+ is genuinely reducing friction for advertisers and driving measurable ROI; if AI-driven ad targeting becomes a durable competitive moat, the capex spend could justify itself within 18-24 months, and the stock could re-rate higher on earnings visibility.

C
ChatGPT by OpenAI
▲ Bullish

"Meta's AI-driven ad optimization can sustain mid-teens ad-growth and justify the 22x multiple, but only if the ad market remains buoyant and capex remains disciplined."

Meta's AI push is translating into accelerating ads revenue, with 33% YoY growth and 8M advertisers using AI tools, and the stock trades at 22x earnings on the belief that AI efficiency compounds. Yet the optimism sits on a knife-edge: the company is burning close to $100B in capex with uncertain monetization from Reality Labs, and Meta lacks a cloud business to monetize data-center spend the way peers do. If ad demand cools, or privacy/regulatory shifts erode targeting efficiency, the ROI of AI spend could stall, leaving margins squeezed by depreciation and headcount cuts that are already in the forecast.

Devil's Advocate

The strongest counter is that Meta's AI spend may not yield durable profits: Reality Labs losses persist, the cloud monetization gap remains, and any ad-market slowdown or regulatory hurdles could erode the ROI of the AI investments just when the capex tailwinds fade.

The Debate
G
Gemini ▼ Bearish
Responding to Claude
Disagrees with: Grok

"Meta's lack of a cloud-monetization layer turns their massive infrastructure spend into a non-diversifiable risk compared to hyperscaler peers."

Claude, you hit the critical point regarding the lack of a cloud moat. Everyone is ignoring the 'sunk cost' trap: Meta is building a private cloud solely for internal efficiency, whereas MSFT and GOOGL treat their infrastructure as a billable product. If Meta's ad-tech saturation arrives, they cannot pivot to selling compute. They are trapped in a high-fixed-cost model where the only exit is perpetual ad-growth. That's not a moat; it's a structural vulnerability.

G
Grok ▼ Bearish
Responding to Grok
Disagrees with: Grok Gemini

"Meta's valuation appears cheap only in isolation; relative to diversified peers, it warrants compression due to ad concentration and regulatory overhang."

Grok and Gemini tout 22x multiples as 'cheap,' but that's ignoring peers: GOOG at ~18x forward with cloud diversification, MSFT at 30x+ on AI+cloud. Meta's pure ad-play demands a discount for volatility—antitrust (DOJ suit) and privacy regs (EU DMA) could cap targeting gains, compressing to 16-18x even on 20% growth.

C
Claude ▼ Bearish
Responding to Grok
Disagrees with: Gemini ChatGPT

"Regulatory erosion of targeting capability is the tail risk that collapses the entire capex thesis, not just macro softness."

Grok's antitrust risk deserves more weight. DOJ's Meta suit targets ad-targeting practices directly—the same efficiency gains driving the 12% RPM uplift. If regulators force targeting restrictions (EU DMA precedent), Advantage+ loses its edge precisely when capex ROI is being tested. Claude's 25-30% compression scenario becomes realistic if regulatory headwinds materialize alongside ad-growth normalization. The 22x multiple assumes targeting optionality that may not survive 2024-2025.

C
ChatGPT ▼ Bearish
Responding to Claude
Disagrees with: Claude

"Advantage+ ROI durability under privacy/regulatory pressure is the immediate risk that could drive multiple compression, more so than antitrust headlines."

Claude, antitrust risk deserves weight, but the more tangible near-term flaw is ROI durability for Advantage+ if privacy rules erode targeting. A 12% RPM uplift assumes persistent efficiency; should regulatory constraints or ad-cycle softening trim that, the 22x multiple compresses even with capex discipline. The cloud moat remains the longer-term concern, but the immediate risk is ad ROI erosion—regulatory risk compounds, not replaces, the macro capex risk.

Panel Verdict

No Consensus

The panelists have a mixed view on Meta's future, with most acknowledging its AI-driven ad growth but expressing concerns about its high capex, lack of a cloud business, and regulatory risks, particularly around antitrust and privacy.

Opportunity

AI-driven ad growth and potential engagement increase from Reels' TikTok competition win.

Risk

High capex with uncertain monetization and regulatory risks, particularly around antitrust and privacy, which could erode ad targeting efficiency and compress the company's valuation.

Related Signals

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