Capital spending hit $51.4 billion in the third quarter alone, and management expects that figure to increase significantly in 2027 as infrastructure investments accelerate. This financial pressure hit market valuations directly when Alphabet's stock dropped as much as ten percent after search revenue grew just 12 percent in the third quarter, missing the 15 percent analysts had expected.
Management acknowledged that the fast-growing AI mode brings in less revenue than traditional search. As executive Philipp Schindler stated, the strong growth in AI mode queries had a direct financial impact because of lower monetization.
Executive Philipp Schindler said that the strong growth in AI mode queries had an impact because of the lower monetization
This dynamic exposes the underlying tension in the search giant's core business model. The annual growth rate for search queries hit its highest level in five years, yet the infrastructure required to service those queries expands at an even faster pace. Traditional search queries fund the massive compute buildout needed for generative models, but the new AI-driven query formats yield lower returns per interaction.
Cloud Infrastructure as the Hedge
While search monetization faces headwinds, the cloud division more than doubled year over year to $30.7 billion, up 103 percent. According to the financial report, this divergence demonstrates that selling infrastructure to external entities generates more reliable returns than running consumer-facing AI queries.
Cloud chief Thomas Kurian expects AI agents to drive further growth in the cloud business, since more agents in production require more compute for their tasks, more storage for agent memory, and more database capacity for reasoning. This revenue stream benefits from the broader market transition where other enterprises shoulder the inference costs of running autonomous systems.
Google's APIs for its own models process nearly 32 billion tokens per minute, more than four times as many as a year ago, reflecting token inflation driven by reasoning models and agentic workflows. To manage these computational loads, CEO Sundar Pichai stated that the company is building smaller, distilled versions of its new Carbon model that balance quality and response speed.
Monetization Horizons
Traditional search continues to grow at historic rates, and management is only beginning to roll out monetization features for AI mode queries. Google announced plans to expand its ad program for chatbots in the U.S. and internationally to bridge the gap between query volume and revenue generation, directly addressing the question of how long the company is willing to absorb lower margins to defend its market share.
At the consumer scale, CEO Sundar Pichai noted that the Gemini app has reached one billion users, establishing it as the fastest-growing product in corporate history. The full Carbon model will initially go only to selected cybersecurity experts and the U.S. government, while distilled versions are slated for deployment to billions of users through an always-on cloud runtime.
As capital expenditures remain pegged to a full-year 2026 forecast of $195 billion to $205 billion, the company continues its buildout toward a significantly higher figure expected for 2027.
Against the field
Google search queries hit a five-year growth high, yet the expanding AI mode generates less revenue per interaction and squeezes ad returns. Shifting searchers toward generative answers directly undermines the company's traditional cash machine. Meanwhile, selling enterprise infrastructure proves far more reliable than answering consumer prompts: while internal inference erodes margins, cloud clients willingly foot the compute bill for their own autonomous workloads.