Alphabet Shares Fall 14% as AI Search Fails to Match Ad Economics

Alphabet shares have fallen about 14 percent since the company reported earnings last week, as investors weigh the cost of Google's AI ambitions against a search business that is decelerating. Search revenue growth slowed to 12 percent year over year in the third quarter, down from roughly 17 percent in the previous quarter, according to Alphabet's earnings report. Growth in paid clicks — the ad clicks that generate Google's revenue — slowed from 13 percent to 8 percent over the same period.

The slowdown lands at a moment when Google plans to spend about $200 billion this year on infrastructure, largely to support AI. That mismatch between capital commitments and monetization is the central tension of the story: search activity is booming, but the business that funds it is not growing proportionally.

What did Google say about the slowdown?

Chief Business Officer Philipp Schindler attributed the revenue-growth deceleration primarily to currency effects, alongside changes in advertiser spending in particular industries. But he acknowledged that Google's AI makeover also played a part. AI Mode queries — Google's conversational search interface — were growing strongly but monetizing at a lower rate than traditional searches, Schindler said.

He framed the trajectory positively, saying Google feels good about its path and that its "ad experiments have shown promising results." It remains unclear, however, whether that reflects a deliberate, controlled rollout of ads, as Google maintains, or a more fundamental problem with advertising inside AI search.

The paradox in the numbers is stark. Alphabet said search queries are growing at their fastest rate in five years. Yet paid click growth and revenue growth both slowed quarter over quarter. More searching is producing proportionally less monetizable activity.

Why does this matter for the market?

"This is the first major disruption that Google is facing to its core business in decades," Nate Elliott, an eMarketer principal analyst covering AI and advertising, tells The Verge. AI is changing how people find information — and, critically, whether they click the ads that fund Google's business.

The stakes extend beyond one company. Google and competitors like OpenAI are both still figuring out how to make advertising work in AI interfaces, balancing two requirements: delivering results for advertisers and avoiding alienating the people using the AI tools. Neither side has solved it.

What Google's core Search business looks like increasingly depends on what a user asks. AI Overviews append generated summaries to results. AI Mode turns searching into a conversation. But the traditional engine persists underneath. Someone searching for Nikes can still get familiar shopping listings and text ads, notes Andy Taylor, vice president of research at digital advertising agency Tinuiti. Those users want to buy shoes, not receive an AI explanation of them.

Is AI expanding search or replacing it?

Google's official argument is that AI grows the business rather than cannibalizing it. Schindler said most AI Mode queries are "incremental" — additional questions rather than replacements for existing searches. Many are also "upper-funnel," meaning people research potential purchases before they know what they want. Google treats those queries as opportunities to sell more ads over time.

The claim is plausible but unverifiable in revenue terms. If most AI Mode queries are additional, Google could still lose revenue from the smaller share of searches that AI Mode replaces — searches the company monetizes more effectively. Google's own framing does not answer how much revenue is at risk on the substitution side.

Google is moving quickly on formats regardless. The company is expanding ads in AI Overviews and AI Mode, including internationally and across multiple turns of US AI Mode conversations. It has also floated bringing ads to its standalone Gemini app, saying formats developed for AI Mode could carry over, though it has not announced a launch date.

Are advertisers still getting returns?

For now, yes — by the aggregate numbers. Tinuiti's same-store advertisers increased their Google paid search spending 14 percent year over year in the third quarter while maintaining their return-on-ad-spend targets. "We're still seeing a good return, and we're not seeing performance take a hit," Taylor says.

But there is a measurement gap. Google does not let advertisers separately target AI ad inventory or break out its performance, according to Taylor. Steady overall returns could mean one of two things: AI ad traffic is still too small to noticeably move results, or it performs similarly to existing inventory. Taylor suspects the former.

That opacity leaves the industry's core question unanswered: how much will AI add to Google's advertising business, and how much will it replace? Additional queries could bring in new revenue even if each earns less than a traditional search. The risk runs the other way too. "If people are clicking through less often," Elliott says, "that is a challenge that they need to figure out."

What does early evidence on AI ads show?

An October working paper offers one data point. US visits originating from ChatGPT ads generated 64 percent less revenue for retailers per session than visits from Google Search ads: $0.89 versus $2.45. The finding measures retailers' sales, not platform revenue, and it concerns ChatGPT rather than Google's own AI ads — so it does not establish how Google's formats perform.

The promise of conversational advertising rests on richer signals: people share far more about their needs in a conversation than in a few keywords. But platforms must still identify which parts of a conversation matter and match them with the right ads. "It's not a slam dunk that it's going to turn into more effective advertising," Elliott says.

Taylor cautions that the ChatGPT comparison depends heavily on purchase intent. Someone searching Google for Nike shoes may already be ready to buy; someone asking an AI tool which running shoes to choose is still researching. The gap in measured sales could reflect that intent difference rather than weaker ad effectiveness.

Does Google have time to figure it out?

Taylor thinks so, pointing to the company's successful transition to mobile. Early phone traffic was less valuable to advertisers because shopping on a phone was cumbersome; that changed as behavior and formats matured. Google's existing business gives it room to iterate on AI ads rather than rush.

Elliott's historical framing is broader. Search engines began with banner ads before adopting paid listings. Social media went through its own experimentation cycle. Effective ad formats can take years to find, and today's formats may not be the ones that ultimately work.

What has changed is the financial pressure behind the experiment. Search revenue is still growing by double digits, but Google has yet to demonstrate that its new way of searching can pay at the rate the old one did — and it is spending $200 billion this year to find out.

"They absolutely do not have it all figured out," Elliott says. "No one has it all figured out."