
What happened
Search revenue grew about 12 percent in the third quarter versus the 15 percent analysts expected, and Philipp Schindler said strong AI mode query growth had an impact because of lower monetization.
Why it matters
The shortfall suggests AI-powered search queries are growing fast but still generate less money than traditional search, the tension investors fear.
Summaries like this, every morning.
The quarter crystallizes a tension that has hung over Google's core business: AI-powered search queries are growing fast, but they still generate less money than traditional search. Executive Philipp Schindler acknowledged on the earnings call that "the strong growth in AI mode queries had an impact because of the lower monetization," among other factors. Investors reacted sharply, wiping up to ten percent off the company's market value, according to the report.
Context matters here. Traditional search has been declared dead for years and keeps growing anyway; this quarter's growth rate was slightly below expectations but in line with recent years, and Google is only beginning to monetize AI mode. The company also said the annual growth rate for search queries hit its highest level in five years. On the call, it announced plans to expand its ad program for chatbots in the U.S. and internationally, a move that could narrow the monetization gap over time, though the body offers no timeline.
Beyond search, the report shows a company spending heavily on what comes next. Google Services revenue rose 11 percent to $96.3 billion, YouTube advertising grew 9 percent to $11.2 billion, and operating margin reached 40.7 percent. Google Cloud more than doubled revenue to $30.7 billion, up 103 percent, with operating margin expanding to 36.2 percent. Capital expenditures hit $51.4 billion in the third quarter alone, and the full-year 2026 forecast remains at $195 billion to $205 billion, with a "significantly higher" figure expected for 2027. CEO Sundar Pichai said the Gemini app has reached one billion users, and Google's APIs process nearly 32 billion tokens per minute, more than four times as many as a year ago — though part of that jump likely reflects token inflation from reasoning models and agentic workflows rather than higher usage alone, the report notes.
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