Google Lifts Capex Target to $195B as AI Drives 24% Revenue Surge

Alphabet’s Q2 Surge and the $195B AI Bet

Alphabet delivered second-quarter revenue of $119.8 billion, up 24% year over year and ahead of Wall Street’s $116.9 billion estimate. The standout was Google Cloud, which surged 82% to $24.8 billion thanks to enterprise AI solutions and infrastructure, while Google Services—advertising, subscriptions, and hardware—grew 15% to $94.5 billion. Operating margin ticked up two points to 34%, and earnings per share jumped 294% to $9.11.

The numbers prompted chief executive Sundar Pichai to double down on AI. The same week, Google released three new Gemini models: the powerful 3.6 Flash, the cheaper 3.5 Flash-Lite, and the cybersecurity-focused 3.5 Flash Cyber. The Gemini app now has 950 million monthly users, and AI Mode in Search has passed 1 billion monthly active users, driving more queries overall.

All of this comes at a steep price. Google raised its 2026 capital expenditure guidance for the second time this year, to between $195 billion and $205 billion. To bridge the demand, the company will lean on third-party compute, a “bridging strategy” chief financial officer Anat Ashkenazi described as a way to capture market share quickly—but one that will add pressure on margins in the short term.

The AI push is reshaping Google’s core advertising business. Chief business officer Philipp Schindler said the AI-powered ad platform AI Max has been adopted by 500,000 advertisers and those using it or Performance Max campaigns see an average 15% higher return on ad spend. Meanwhile, publishers are pushing back as AI-driven search interfaces reduce traffic to external sites, with some opting out of Google Search entirely. A federal judge is still weighing specific remedies for Google’s illegal monopolies in publisher ad servers and exchanges after the April 2025 ruling.

Where Google’s AI Blitz Places the Company and Its Rivals

Google’s Bet on Enterprise AI and the Pricing War

The cloud numbers show that enterprise customers are buying Google’s AI story—revenue nearly doubled, outpacing expectations by more than $2 billion. But the AI model market is quickly commoditizing. Chinese rival Moonshot AI’s Kimi K3 is pressing on price, and Google’s own launch of a cut-rate Flash-Lite model signals that margins in model hosting could erode. Pichai’s bullishness about the upcoming Gemini 4 suggests the company is betting on more advanced models commanding a premium, yet it will have to navigate a brutal pricing environment.

Bridging Compute Demand: A Margin Trade-Off

Raising capex by tens of billions of dollars is a clear signal that Google sees demand far outstripping internal capacity. The decision to rent external compute is a pragmatic stopgap: it lets the company onboard customers immediately instead of waiting for new data centers to come online. The cost, as Ashkenazi acknowledged, is a near-term hit to profitability. How much of that cost can be passed to customers—and how quickly internal capacity replaces rental spend—will determine whether the bridging strategy succeeds or becomes a drag on earnings through 2027.

Advertisers Win, Publishers Lose as AI Search Grows

The AI Max ad platform is proving effective for those on the inside, with 500,000 advertisers already using it and a claimed 15% lift in return on ad spend. Google says the same AI is unlocking billions of previously unmonetizable searches, creating a new pool of ad inventory. The dark side is for publishers: AI Mode and other generative search interfaces are eroding traditional click-through traffic, and Google is using the same web crawler for search indexing and AI training. Some publishers have already retaliated by blocking Google Search entirely, though Pichai sidestepped the issue on the earnings call.

Antitrust Uncertainty Hangs Over the Ad Business

While Google pours billions into AI, the advertising infrastructure that funds all of it remains under judicial scrutiny. The company is waiting on a federal judge to specify what structural changes it must make after being found to monopolize publisher ad servers and ad exchanges. Any remedy that forces Google to divest parts of its ad tech stack or change how it uses data would ripple through the AI Max and Performance Max campaigns that are increasingly central to its ad business. The outcome is uncertain, but the stakes for Google’s future ad revenue are immense.

What the Capex Raise and AI Shift Mean for Investors, Advertisers, and the Market

• For investors: The capex jump to at least $195B—and the explicit warning that third-party compute will weigh on margins—should focus attention on Q3 profitability. Watch the cloud revenue growth rate against the margin decline to gauge whether the bridging strategy is paying off.
• For advertisers: AI Max is delivering a 15% average return uplift, according to Google, but that average masks wide variability. Test campaigns rigorously to determine your own efficiency gain and be prepared for higher cost-per-click as more advertisers adopt the platform and competition for AI-generated inventory intensifies.
• For publishers: The erosion of link-based traffic is structural. Exploring direct-audience models, newsletters, and alternative search partnerships will become increasingly urgent as AI Mode’s billion-user base grows. Blocking Google’s crawler is a blunt tool that must be weighed against losing all search visibility.
• For cloud competitors and enterprise buyers: Google’s aggressive pricing on Gemini models—including the new Flash-Lite—is a direct shot at AWS and Microsoft Azure. Enterprise procurement teams should use this pricing to negotiate harder, but also ask Google hard questions about latency and availability when third-party compute backs the service.