Google reports Search revenue up 12% YoY to $63.25B in Q3 2026, down from 14.5% in Q3 2025, and attributes the slowdown to "lower monetization" in AI Mode
First reported by The Register ·
AI-powered search now generates less revenue per query than traditional ads.
Alphabet's Q3 2026 earnings revealed a slowdown in Google Search revenue growth, reaching 12% year-over-year to $63.25 billion, down from 14.5% in Q3 2025. This deceleration was attributed by chief business officer Philipp Schindler to "lower monetization" within the new AI Mode search feature. Despite significant infrastructure investments, totaling $51.4 billion in Q3, Alphabet's net income dropped to $26.17 billion from $35 billion in the prior year's third quarter. Google has begun implementing ads within AI Mode search results globally, following US testing, to enhance revenue generation. CEO Sundar Pichai expressed optimism about future AI revenue, highlighting the rapid adoption of the Gemini app and the development of agentic AI tools, initially targeting business customers due to stringent security requirements.
The slower monetization of AI Mode searches poses a significant challenge for Google, especially given its substantial infrastructure investments of $51.4 billion in Q3. While the company is optimistic that AI Mode queries will eventually become more lucrative by capturing upper-funnel interest and creating incremental monetization opportunities, the immediate financial impact is a concern. The recent global rollout of ads within AI Mode, after initial US testing, signals an aggressive push to rectify this revenue gap. However, it remains to be seen if these efforts will offset the current lower earnings per AI-driven query compared to traditional search advertising.
This situation underscores a broader industry challenge in monetizing generative AI interfaces, particularly within search. While Google's Gemini app has achieved rapid user growth, translating that engagement into comparable revenue streams to its established search ad business is proving difficult. The company's strategic focus on agentic AI for business clients, prioritizing security and governance, suggests a cautious approach to deploying new AI functionalities, acknowledging the higher stakes involved. Future success will depend on Google's ability to innovate its monetization strategies for AI-driven services and effectively integrate them without alienating users or compromising its core search business.
AI-written summary. May contain errors.