
Key points
- Search query volume grew at its fastest rate in five years according to the published report third-quarter earnings report.
- Search revenue growth slowed to 12 per cent year on year, down from roughly 17 per cent in the prior quarter.
- Growth in paid clicks decelerated from 13 per cent to 8 per cent as AI Mode queries monetised at lower rates.
Alphabet reported that search queries are growing at their fastest pace in five years, yet this volume surge is not translating into proportional revenue growth for Google’s core advertising business.reported The company’s third-quarter earnings data revealed a divergence between user engagement and financial returns, with search revenue growth slowing to 12 per cent year on year.reportedGoogle says more people are searching than ever before, but the company is making less money from each search because AI answers change how ads work.Alphabet’s Q3 earnings reveal a decoupling of search query volume growth from revenue growth, driven by lower monetisation rates in AI Mode interactions.
The figures
Alphabet stated that search revenue growth stood at 12 per cent year on year in the third quarter, down from approximately 17 per cent in the preceding quarter.reported Growth in paid clicks, which generate revenue for Google, slowed from 13 per cent to 8 per cent during the same period.reported The company plans to spend about $200 billion this year on infrastructure, largely to support artificial intelligence initiatives.reported Since reporting these earnings, Alphabet shares have fallen about 14 per cent, reflecting investor concern over costs and returns.reported
Behind the figures
Chief Business Officer Philipp Schindler attributed the revenue-growth slowdown primarily to currency effects and changes in advertiser spending across specific industries. He also noted that AI Mode queries were growing strongly but monetising at a lower rate than traditional searches, according to the published report Schindler added that Google feels positive about its trajectory and that its ad experiments have shown promising results.reported Nate Elliott, an eMarketer principal analyst, described the situation as the first major disruption to Google’s core business in decades.
What changes, what does not
The nature of search interactions is shifting as AI Overviews add generated summaries to results and AI Mode turns searching into a conversation, according to the report.reported However, commercial intent remains intact for certain queries; Andy Taylor, vice president of research at Tinuiti, noted that users searching for specific products like Nikes still receive familiar shopping listings and text ads. Schindler argued that most AI Mode queries are incremental, representing additional questions rather than replacements for existing searches.
What builders can do with it
Developers and product builders can observe that AI-driven search interfaces are altering user behaviour without necessarily displacing commercial transactions. The data suggests that while AI Mode generates significant incremental query volume, the monetisation efficiency of these interactions remains lower than traditional search models. Builders integrating AI into search or discovery tools should account for the possibility that conversational AI interfaces may drive higher engagement metrics while yielding lower immediate advertising revenue per interaction. This implies a need to balance user experience enhancements with sustainable monetisation strategies in AI-enhanced search products.
Why it matters
- Policy readers must understand that high engagement metrics in AI search do not automatically correlate with revenue growth, complicating assessments of platform dominance.
- The divergence between query volume and paid click growth suggests regulatory scrutiny may focus on how AI alters the economic model of search advertising.
- Alphabet’s $200 billion infrastructure spend indicates continued heavy investment in AI despite short-term revenue headwinds, signalling long-term strategic commitment.
- The classification of AI Mode queries as "incremental" by Google executives may influence how policymakers view market share and competitive dynamics in search.
Topics: search, advertising, AI, Alphabet, monetisation
Updated
For readers
Policy
- Regulators may need to reassess market dominance metrics if AI-driven search engagement does not translate to proportional revenue.
- The distinction between incremental and replacement queries could influence antitrust assessments of Google’s search practices.
Investors
- Alphabet shares fell 14 per cent post-earnings as investors questioned the return on $200 billion in AI infrastructure spending.
- Currency effects and advertiser spending shifts contributed to the slowdown in search revenue growth.
Developers
- AI search interfaces may drive higher engagement but lower immediate advertising revenue per interaction.
- Commercial intent remains for specific product searches, even within AI-enhanced search environments.
Ask the article
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Your choice stays on this device. No public tally.Questions readers ask
Why is Google's search revenue growth slowing despite increased query volume?
Alphabet attributes the slowdown to currency effects, changes in advertiser spending, and the lower monetisation rate of AI Mode queries compared to traditional searches.
Are AI Mode queries replacing traditional searches?
Google’s Chief Business Officer Philipp Schindler stated that most AI Mode queries are incremental, meaning they are additional questions rather than replacements for existing searches.
How have investors reacted to the earnings report?
Alphabet shares have fallen about 14 per cent since the earnings report, as investors question the costs and returns of the company’s AI ambitions.
Connected stories
Reading receipt
- Search query volume grew at its fastest rate in five years according to the published report third-quarter earnings report.
- Search revenue growth slowed to 12 per cent year on year, down from roughly 17 per cent in the prior quarter.
- Growth in paid clicks decelerated from 13 per cent to 8 per cent as AI Mode queries monetised at lower rates.