Google just crossed a milestone that cements its position in the AI arms race. The company's Q4 2025 earnings call revealed Alphabet's annual revenue surpassed $400 billion for the first time, driven by explosive 48% growth in Cloud and the rapid adoption of Gemini 3. CEO Sundar Pichai announced the company will pour between $175 billion and $185 billion into CapEx for 2026—a staggering increase that signals Google is doubling down on AI infrastructure as customer demand outpaces even its own projections.
Google isn't just winning the AI race—it's lapping the competition. The company's Q4 2025 earnings call laid bare the scale of its AI transformation, with CEO Sundar Pichai revealing that Alphabet's revenue broke through the $400 billion barrier for the first time. But the real story isn't what happened last quarter. It's what Google's planning to spend next year.
The tech giant announced it will invest between $175 billion and $185 billion in capital expenditures for 2026, according to Pichai's prepared remarks. That's an eye-watering sum that dwarfs most companies' entire market caps, and it signals Google sees no slowdown in enterprise AI demand. "We're seeing our AI investments and infrastructure drive revenue and growth across the board," Pichai told investors.
The spending spree comes as Google Cloud hit escape velocity. Cloud revenues grew 48% year-over-year to reach a $70 billion annual run rate, while backlog—the total value of committed customer contracts—exploded 55% quarter-over-quarter to $240 billion. That backlog figure represents "a wide breadth of customers, driven by demand for AI products," Pichai said, and it's become the clearest indicator yet that enterprise AI spending isn't slowing down.
Google exited 2025 with double the new Cloud customer velocity it had in Q1, and the number of deals exceeding $1 billion "surpassed the previous three years combined." Even more telling: existing customers are outpacing their initial commitments by over 30%, suggesting enterprises are finding more use cases for AI than they originally anticipated.
The Gemini 3 launch in December catalyzed much of this momentum. Since its release, the model has processed three times as many daily tokens as its predecessor Gemini 2.5 Pro. Google's first-party models now handle over 10 billion tokens per minute through direct API access—up from 7 billion last quarter. In December alone, nearly 350 Cloud customers each processed more than 100 billion tokens.
That usage is translating directly to revenue. Google reported that Q4 revenue from products built on generative AI models grew nearly 400% year-over-year, "significantly accelerating from the prior quarter." The company now counts more than 120,000 enterprises using Gemini, including 95% of the top 20 SaaS companies and over 80% of the top 100. Salesforce and Shopify are among the high-profile customers.
Google's enterprise AI platform, Gemini Enterprise, sold more than 8 million paid seats to over 2,800 companies in just four months since launch. Customers including BNY and Virgin Voyages are using it to streamline knowledge management and automate processes. Meanwhile, Gemini Enterprise managed over 5 billion customer interactions in Q4—a 65% year-over-year increase—for brands like Wendy's, Kroger, and Woolworths Group.
The consumer side is equally explosive. The Gemini App reached 750 million monthly active users, with "significantly higher engagement per user, especially since the launch of Gemini 3 in December," according to Pichai. Google also crossed 325 million paid subscriptions across consumer services, driven by Google One and YouTube Premium.
Search continues to defy predictions of AI-driven disruption. The business grew 17% in Q4 and "saw more usage than ever before," Pichai said. The integration of Gemini 3 into AI Mode and AI Overviews is changing how people search—queries in AI Mode are three times longer than traditional searches, and nearly one in six are now non-text, using voice or images. Daily AI Mode queries per user doubled since launch.
Google shipped over 250 product updates to AI Mode and AI Overviews in Q4 alone, demonstrating the pace at which it's iterating. The company upgraded AI Overviews to Gemini 3 last week, "giving users a best-in-class AI response at the top of the search results page."
YouTube crossed $60 billion in annual revenue across ads and subscriptions, cementing its position as the number one streaming platform in the US living room for nearly three years, according to Nielsen data. YouTube TV's NFL Sunday Ticket hit "the highest paid subscriber number ever in the history of the product," while viewers watched over 700 million hours of podcasts on living room devices in October 2025, up 75% year-over-year.
But perhaps the most significant reveal was buried in the Cloud section: Google is "collaborating with Apple as their preferred Cloud provider and to develop the next generation of Apple Foundation Models, based on Gemini technology." The partnership gives Google a foothold in Apple's ecosystem and validates its AI infrastructure at the highest level of the industry.
Google's infrastructure investments are paying efficiency dividends even as it scales. The company lowered Gemini serving unit costs by 78% over 2025 through "model optimizations, efficiency and utilization improvements." It offers the widest variety of compute options in the industry, from its seventh-generation Ironwood TPU to Nvidia's latest Vera Rubin GPU platform, which Google will be among the first to offer.
In December, Google announced its intent to acquire Intersect, which provides data center and energy infrastructure solutions—a move that signals the company is building out every layer of the AI stack to maintain control over costs and performance as it scales.
The company's AI agent platform, Google Antigravity, launched just over two months ago and already has more than 1.5 million weekly active users. The platform lets agents autonomously plan and execute complex software tasks, powered by Google's latest models.
Revenue from AI solutions built by Google's partners increased nearly 300% year-over-year, while commitments from the top 15 software partners grew more than 16x. Nearly 75% of Google Cloud customers have used the company's "vertically optimized AI," and those AI customers use 1.8 times as many products as non-AI customers—a metric that reveals how AI is becoming the wedge that drives platform adoption.
Google now has fourteen product lines each exceeding $1 billion in annual revenue within Cloud alone, spanning infrastructure, platform, and AI-powered products. The breadth of that portfolio is enabling the company to "diversify our product portfolio, deepen customer relationships and accelerate revenue growth," Pichai said.
Waymo, Alphabet's autonomous vehicle unit, raised "its largest investment round to date" this week and surpassed 20 million fully autonomous trips. The service now provides more than 400,000 rides weekly and just launched in Miami, its sixth market. Expansions to "multiple cities across the US, and in the UK and Japan" are coming soon.
Google's Q4 results reveal a company that's found the business model for AI at scale. The $175-$185 billion CapEx commitment for 2026 isn't just a bet on future demand—it's a response to customer contracts already signed and backlog already booked. With Cloud backlog at $240 billion and growing 55% quarter-over-quarter, with AI customers consuming nearly twice as many products as non-AI users, and with infrastructure efficiency improving even as scale explodes, Google has turned AI from a cost center into a revenue multiplier. The Apple partnership adds strategic validation, while the pace of product launches across Search, Cloud, and YouTube shows a company operating at full speed. The question isn't whether Google can sustain this growth—the backlog says it can. The question is whether competitors can match the scale of investment required to keep up.
