Alphabet’s $127.6B Ad Quarter, With AI Taking Center Stage

By Grace Kim

Alphabet reported $127.6 billion in advertising revenue in the third quarter, up 25% from a year earlier, with practically all of Alphabet’s revenue coming from advertising. The result confirms that ads remain the company’s core business. Yet on Wednesday evening’s earnings call, advertising received sparse attention while CEO Sundar Pichai led with AI and cloud infrastructure.

Those figures came from Alphabet’s quarterly financial statement. During the call, Pichai cited what he called Alphabet’s half-trillion-dollar revenue growth rate, without defining that formulation.

Google’s reported ad businesses included:

• Search advertising: $63.4 billion, up from $56.6 billion in the year-earlier third quarter.
• YouTube Ads: $11.2 billion, up almost 10% year over year.

Pichai said Google Cloud grew more than 100%, driven by AI infrastructure and solutions. He also cited strong demand for TPU platform sales, which combine chips and systems hardware with software for managing AI models. Neither claim came with a comparison period or sales figure.

The company’s first-party AI model APIs processed 32 billion tokens per minute, a 40% increase from a few months earlier. Gemini, the AI assistant, reached 1 billion users. Pichai described Gemini as the fastest-growing product in Google’s history.

Pichai did not mention Google Search advertising. He did say AI Mode queries run three times longer than standard search-engine queries on average. Google also counted more than 50 billion visual searches per month, including searches with pictures, videos and documents.

Pichai repeatedly mentioned YouTube, but focused on subscriptions and creator tools rather than YouTube advertising. Google SVP and Chief Business Officer Philipp Schindler eventually brought up both YouTube and Search ads. He said Google was accelerating Gemini deployment across its entire ads infrastructure to boost performance.

In Q3, Schindler said Google made the biggest upgrade to its sponsored product listings business in a decade. The new shopping feature gives Google’s AI greater discretion over which product details to feature and how to personalize ads. Schindler also said, “Overall, AI is accelerating our ads development and drives the majority of our product launches.”

Gemini models generated more than 1.5 billion creative assets in Q3, according to Schindler. Google remains early in scaling ads to AI Mode and AI Overviews, the generative responses above traditional search results.

AI Mode queries fit upper-funnel uses such as shopping for insurance or researching products. Schindler said they already generate click-through rates on par with search ads. He also said user research shows people are comfortable with ads on those surfaces and find them highly relevant.

Google disclosed no absolute ad volume, methodology or revenue for either AI surface. That omission matters: CTR parity does not establish budget scale or ROI. Those were company-reported findings; no creator forecast or independent performance data appeared on the call to validate them.

Google Network, Display & Video 360, mobile ads, connected TV, YouTube Ads, broader web advertising, and Google’s fines and antitrust lawsuits from this year went unmentioned. Some appeared only as glancing references in CFO Anat Ashkenazi’s opening list of earnings line items.

By contrast, “Argon,” “Carbon,” “PyTorch” and “Genie” appeared 21 times in total during the call. Those terms relate to Google’s AI models and chip manufacturing. The call’s success language centered on AI rather than advertiser return on investment, without a comparable ROI metric.

CFO Anat Ashkenazi said, “We’re in a unique position to be able to monetize our AI investments across many products that reach billions of users and enterprises.” She added that AI investments in search were driving the company’s highest query growth in half a decade.

Google Cloud had generated tens of billions of dollars in AI revenue year to date, while Google One was the fastest-growing subscription product, driven by demand for AI plans. Neither the AI-revenue estimate nor Google One’s label came with an exact figure or subscriber count.

What does this change for advertisers and creators?

Advertisers should treat AI Mode and AI Overviews as test surfaces, not established budget destinations. The practical answer is limited but clear: maintain search and YouTube plans while testing product-detail accuracy, AI-generated creative and longer, research-oriented queries. AI Mode’s insurance-shopping and product-research uses suggest earlier-stage prospects.

Google supplied no paid reach, frequency, conversion or budget data to justify a wholesale shift. Gemini’s 1 billion users show product scale, but not ad load, geography or paid impressions.

The 1.5 billion generated assets suggest more creative volume, not better performance. For creators, Google discussed subscriptions and creator tools more than monetization, and offered no creator-specific earnings metric.

The next useful test is whether Google can disclose AI-surface impressions, conversions and revenue at meaningful scale. Until then, AI looks like a credible expansion path for Google’s ad business, not a proven replacement for search and YouTube.