Google’s AI search boom is real — but the money is lagging

Alphabet says artificial intelligence is driving more search activity than it has seen in years, but the company’s latest quarter shows a harder truth: Google Search is growing more slowly because AI queries are still worth less than the traditional searches they may be replacing.

The tension matters because Search remains Alphabet’s core profit engine. In the third quarter, Google Search revenue growth slowed to 12% year over year from about 17% in the prior quarter, while paid click growth slipped to 8% from 13%, according to The Verge’s reporting on the company’s earnings. Alphabet says search queries are growing at the fastest pace in five years, yet that volume is not translating into the same level of monetization as classic search ads.

What Alphabet is saying about AI search

Alphabet’s message is straightforward: people are searching more because of AI, but the commercial model is still catching up. The company has said AI Mode queries are growing strongly, and that those queries monetize below traditional search. It also says most AI Mode queries are incremental rather than simple replacements for existing searches, which is Alphabet’s way of arguing that AI is adding new demand instead of cannibalizing the old.

Even so, the revenue picture is less clean. Search ads and paid clicks are the foundation of Alphabet’s business, and the slowdown in both metrics suggests that more searches do not automatically mean more money per search. The company’s chief business officer, Philipp Schindler, said currency effects accounted for most of the revenue-growth slowdown, while also pointing to shifts in advertiser spending in certain industries.

Alphabet is also spending heavily to keep pace with the AI transition. The Verge reported that the company is planning about $200 billion in infrastructure spending this year, largely for AI. That scale of investment underlines how central AI has become to Google’s future, even as the economics of AI-assisted search remain unsettled.

Why it matters

The story is bigger than one quarter’s numbers. Google Search is not just another product line; it is the engine that funds much of Alphabet’s broader ambition. If AI changes how people search, it changes how Alphabet sells ads, measures performance and decides where to place enormous amounts of capital.

For advertisers, the shift raises a practical question: will AI-driven search generate the same return they have come to expect from classic search inventory? For investors, the issue is whether higher query volumes can compensate for weaker monetization. For Google itself, the risk is that AI adds usage without preserving the economics that made Search so dominant in the first place.

There is also a competitive dimension. If Google’s own AI features pull users toward more conversational, research-heavy interactions, the company may need to build entirely new ad products without breaking the ones that already work. That is a delicate transition for a business built around intent-rich queries and measurable clicks.

How did Google get here?

Google has been rolling out AI features across Search while experimenting with new ad formats. AI Overviews summarize search results, while AI Mode makes search feel more like a chat-based exchange. Both are meant to preserve Google’s relevance as users increasingly expect AI to help synthesize information, not just list links.

That shift changes the shape of search behavior. Traditional search has long been a high-intent product: someone types in a query, sees ads and results, then clicks through with at least some purchase or action in mind. AI Mode appears to create more upper-funnel activity, where users are researching, comparing or gathering information before intent fully hardens.

That distinction matters because advertisers pay for access to people closer to a transaction. If AI surfaces more exploratory questions, the traffic may be plentiful but less profitable. Google says many AI Mode queries are incremental, not replacements, but the market is still trying to understand whether new activity will offset any loss of lucrative legacy searches.

By the numbers

What the advertising market is showing

Advertiser behavior suggests Google Search is still deeply embedded in digital marketing budgets, even as AI changes the user journey. Tinuiti, a large digital ad buyer, said advertisers using its platform increased Google paid-search spending by 14% year over year in the third quarter. That is not a sign of retreat.

Andy Taylor, vice president of research at Tinuiti, said, “We’re still seeing a good return, and we’re not seeing performance take a hit.” The comment points to a crucial short-term fact: advertisers are not abandoning Google Search simply because AI is entering the product.

At the same time, the mechanics of AI ad inventory are still immature. Google does not let advertisers separately target or measure AI ad inventory performance, which makes it harder for marketers to tell whether AI placements are outperforming, underperforming or simply behaving differently from standard search ads. That limits confidence even when spending rises.

Google has said ad experiments have shown promising results, but the company has not yet laid out a clear timetable for ads in the standalone Gemini app. It is also expanding ads in AI Overviews and AI Mode, including outside the United States. That suggests a gradual rollout rather than a single dramatic launch.

How are analysts reading the slowdown?

Some analysts see the latest quarter as evidence that Google is entering a long adjustment period. Nate Elliott, principal analyst at eMarketer, called it “This is the first major disruption that Google is facing to its core business in decades.” He also said, “They absolutely do not have it all figured out.”

Those comments capture the market’s central concern. Google has spent years defending Search against changing user habits, but AI introduces a different kind of pressure. It does not just compete for attention; it can also reshape the format and economics of the search itself.

That is why even strong query growth can still unsettle investors. More activity is helpful only if it arrives in a form that advertisers can buy efficiently and measure clearly. Otherwise, Google could be trading one kind of search usage for another with lower revenue per session.

What the data says about AI monetization

The broader industry is still learning how much AI search is worth. A working paper from October 2026, cited by The Verge, found that retailer revenue per session from ChatGPT ad visits was $0.89, compared with $2.45 from Google Search ad visits. The same paper said ChatGPT ads generated 64% less revenue per session than Google Search ads.

Those figures are not a perfect apples-to-apples comparison of every ad product, but they illustrate the problem Alphabet faces. AI-driven sessions can be valuable in terms of engagement and discovery, yet they may lag far behind traditional search when the measure is revenue per visit.

That gap helps explain Google’s current strategy: build AI into Search, test ads where they fit and keep trying to preserve the economics that made the product so powerful. Alphabet cannot afford to miss the shift to AI, but it also cannot afford to destroy the monetization model that underpins its profits.

Background: Search has been the cash machine for years

Google Search ads have long been the heart of Alphabet’s revenue model. Advertisers buy search inventory because it reaches users with clear intent, and the system works because clicks and conversions are relatively straightforward to track. That simplicity has made Search one of the most effective advertising businesses in the digital economy.

AI complicates that structure. Instead of typing a query and clicking a result, users can ask a system to summarize options, compare products or synthesize background information. The result may be more useful to the user, but it can also mean fewer visible ad opportunities, weaker attribution and less obvious purchase intent.

Google has tried to adapt by embedding AI features into the product rather than treating AI as a separate track. AI Overviews summarize results directly in Search, and AI Mode turns the experience toward chat. In theory, that keeps Google central to the user journey. In practice, it forces the company to redesign how ads fit into that journey without breaking trust or usability.

Timeline of the quarter and its aftermath

What happens next?

The next phase will be about proof. Investors will watch whether AI Mode and AI Overviews can produce meaningful ad revenue without dragging down the economics of standard search. The biggest unanswered questions are how much of that inventory can be monetized, how quickly Google can improve measurement and whether advertisers will accept new formats at scale.

Another open question is Gemini. Google has floated ads in the standalone Gemini app, but it has not announced launch timing. If and when that happens, it could offer a clearer look at whether conversational AI can support a durable ad business on its own.

For now, the market appears to be in a transitional phase. Search queries are rising quickly, advertisers are still spending, and Alphabet is investing heavily. But the company has not yet shown that AI search can match the monetization efficiency of the product it may ultimately replace in part.

That is the core tension from Alphabet’s latest quarter: AI is boosting activity, but the financial payoff is still uncertain. Google may be winning the user behavior battle and losing ground on revenue per query at the same time, and that combination is what has made investors uneasy.

Bottom line

Alphabet’s latest results suggest that AI is expanding how people use search, but not yet how much each search is worth. Until Google proves that AI-driven queries can monetize at something closer to the level of traditional search, the company’s most important business will remain in a delicate balancing act.