Google search revenue growth misses analyst expectations
Google reported a 12 percent increase in search revenue, which matters to businesses planning their AI infrastructure spend.

Google reported its third-quarter earnings results, showing search revenue grew 12 percent. The-decoder reports that this figure missed the 15 percent expected by analysts. Executive Philipp Schindler stated that growth in AI mode queries had an impact because of lower monetisation. The company also reported that Google Cloud revenue grew 103 percent year over year to $30.7 billion.
Why it matters
For Swiss businesses, these figures show that AI integration is currently a cost centre rather than an immediate profit driver. Google is still figuring out how to monetise AI queries effectively. You should expect a period of high infrastructure costs as companies adopt agentic workflows. This shift requires a focus on long-term scalability over immediate returns.
- Higher compute costs for agent memory and database capacity.
- Variable ROI on AI search tools compared to traditional advertising.
- Dependence on Google's cloud runtime for distributing smaller, distilled models.
What to watch
Monitor how Google expands its chatbot ad programs in the U.S. and internationally. This will determine if the company can successfully turn AI queries into a viable revenue stream. You should also track capital expenditure trends. High spending on TPU systems and cloud infrastructure suggests that the cost of providing agentic workflows remains significant for the next few years.
AI will become a direct profit driver within a year only if companies move past infrastructure setup to specific, high-volume task automation.
Key takeaways
- AI queries currently have lower monetisation rates than traditional search.
- High infrastructure costs for agentic workflows will persist for several years.
- Profitability depends on moving from infrastructure setup to high-volume task automation.
Frequently asked
How does the growth in Google Cloud revenue affect my cloud costs?
The 103 percent growth suggests high demand, but your costs will depend on your specific usage of compute for agent memory and database capacity.
When will AI tools start showing a positive return on investment?
The report suggests this depends on whether companies can move past the setup phase to automate specific, high-volume tasks.