Meta's AI ads are growing twice as fast as Google's search
In the third quarter of 2026, Meta's ad revenue grew 26% to $63.1 billion, while Google's search division grew 12% to $63.35 billion — the widest growth gap in Meta's favor since 2021, according to CNBC. The gap came as Alphabet suffered its worst stock decline since its 2004 listing, and it remains unclear whether the search shortfall stems from a temporary AI transition or something more lasting.
The number that moved the market
Search is Alphabet's largest revenue source, and 12 percent growth is far from a decline. The problem was that the figure fell short of analysts' expectations, after search had, according to veteran investor Gene Munster, beaten estimates since March 2025 (Business Insider).
It was not the only disappointment in the report. Total revenue of $127.6 billion was up 25% from a year earlier — Alphabet's 13th straight quarter of double-digit growth — but still came in below analysts' consensus (Deadline). Business Insider also reported that the company's free cash flow was negative for the quarter, at minus $9.07 billion (Business Insider).
On the Thursday after the report, Alphabet's stock fell roughly 13 percent, and the company lost about $500 billion in market value — the worst single-day decline since Google went public in 2004, according to CNBC (CNBC).
According to CNBC, the 14-percentage-point gap is the largest in Meta's favor since 2021 — and the two ad-selling businesses are now roughly the same size (CNBC). Meta delivered a strong quarter, but its stock has nonetheless had a rough ride: it fell 14 percent in October, the company's worst month since October 2022 (CNBC). The market, in other words, is not drawing a sharp distinction between the two: it is punishing both, apparently for different reasons.
Meta's explanation: AI as a targeting tool
Meta itself attributes the gains to AI-driven targeting tools for advertisers on Facebook and Instagram. According to CNBC, CFO Susan Li said on the earnings call that advertisers who adopted the recommendations of Meta's AI business assistant saw nearly 5% more conversions and increased their ad investment by 9% compared with similar non-adopters (CNBC).
These figures are company-reported and not independently verified. They nonetheless point to a concrete mechanism that Meta describes: AI models that improve targeting and ad relevance allow advertisers to get more out of every dollar within the same ad inventory — and if the results genuinely improve, the advertisers increase their spending.
Alphabet, additionally, had roughly $11 billion in YouTube revenue in the quarter — a separate business alongside search — so the company as a whole still earns more from ads than Meta. The difference lies in the direction of the growth curves.
Alphabet's explanation: AI Mode as a monetization gap
Alphabet's explanation is not that search is shrinking, but that the new AI formats earn less per user. Alphabet's chief business officer, Philipp Schindler, said, according to Business Insider, that the strong growth in AI Mode queries had an impact on results because of the lower monetization the company sees in AI Mode (Business Insider; CNBC). He added that Alphabet is now scaling ads in AI Overviews and AI Mode, including in international markets.
Google's chief executive, Sundar Pichai, framed the transition as a deliberate choice of user experience over monetization. According to Business Insider, he referenced the shift to mobile more than a decade ago, saying that Google is now focused on building the best search experience, with monetization to follow (Business Insider).
Both of the company's explanations thus describe a transition problem: users are moving to AI formats, the ad system is lagging behind, and revenue per search falls temporarily. That is a credible explanation as long as search volume is growing — Schindler himself spoke of strong growth in AI Mode queries. But the underlying reporting does not document usage data that could determine whether this really is only a transition.
The contested question: is AI eating search?
This is where the analysts diverge, and where the evidence stops being conclusive.
Gene Munster wrote on X that search had beaten estimates since March 2025, and that a clean miss without one-off factors would likely revive fears that generative AI and increasingly personal bots would eat into growth (Business Insider).
Nate Elliott, who covers AI for Emarketer, was more grave in his assessment in an email to CNBC. He described the situation as a double-edged sword: as AI revolutionizes discovery, people may encounter tools they like better than Google, he wrote. If ChatGPT, Claude or Muse are better at helping them find what they are looking for, people's search habits could change for the first time in a generation — something he called potentially catastrophic for Google's ad business (CNBC).
Scott Devitt of Rosenblatt Securities, by contrast, dismissed the idea that this is a sea change. He argued on CNBC's "Squawk on the Street" that if it is a problem for Alphabet, it is also a problem for any consumer-facing AI agent or language model — a problem he believes will ultimately be solved. When that happens, he argued, Alphabet, with its roughly 4 billion search users who would become AI customers, is in an enviable position (CNBC).
It is important to keep things straight here: the claim that chatbots and AI agents are causing Google's slowdown is the analysts' thesis, not something documented with usage data in the reporting. There is, however, one external indicator pointing in the same direction: Reddit's stock fell 30% after the company said its search traffic in the third quarter was "down meaningfully" (headline as reported by Deadline, Deadline). That suggests changing discovery habits could hit more than just Google — but it does not prove the cause.
What could settle it
Two things could make next quarter more revealing. First, Alphabet has signaled that Search may take a further currency-related hit in the coming quarter — meaning some of any future miss could stem from exchange rates, not demand. Second, figures on how quickly ads in AI Overviews and AI Mode actually generate revenue will show whether Pichai's mobile analogy holds.
Until then, the safest picture is this: Meta delivered a quarter of strong ad growth that the company itself ties to its AI tools, Alphabet still delivered 12 percent search growth with an explanation that is plausible but unverified — and the available data cannot say for certain which of the theses is right.