Google Cloud revenue jumps 82% as AI spending fuels growth

Google Cloud posted $24.8 bn in revenue this quarter, an 82% increase from the same period last year, underscoring that enterprise AI demand is cushioning Alphabet’s massive AI‑related capital outlays [1].

Cloud surge driven by enterprise AI

Alphabet’s earnings call highlighted that the bulk of the cloud boost came from “enterprise AI solutions and infrastructure” adoption, pushing the division’s revenue far above analysts’ $22.46 bn forecast [1]. The surge helped lift overall Alphabet revenue 24% YoY to $119.8 bn, marking the 12th straight quarter of double‑digit growth. Yet the same quarter saw free cash flow turn negative for the first time in the company’s public history, slipping to a $5.9 bn deficit as AI‑centric capex swelled to $180‑$190 bn for the year [2]. The contrast shows that while AI fuels top‑line expansion, the cash‑flow hit reflects the heavy upfront spend on data‑center capacity and custom chips.

Competitive context and spending outlook

Google’s AI spend sits alongside a broader industry “AI spending spree,” with the four major hyperscalers projected to pour more than $750 bn into AI‑related capex over the next two years [3]. Competitors such as Microsoft, Amazon and Meta are similarly expanding infrastructure, but Google’s cloud growth outpaces its peers’ expectations, suggesting it may capture a larger slice of the AI‑driven enterprise market. Nonetheless, analysts worry that the scale of capex—potentially reaching $262 bn in 2027 per Bloomberg estimates—could strain cash flow across the sector, a risk echoed by concerns of a possible datacentre “bubble” [2][3].

Gemini rollout and product pipeline

Google’s AI chatbot Gemini now reports 950 million monthly active users, up from 750 million in Q4 2025, indicating strong consumer uptake [1]. However, the latest Gemini 3.6 Flash model trails behind OpenAI’s and Anthropic’s recent releases on key benchmarks, and the flagship Gemini 3.5 Pro remains months behind schedule [2]. CEO Sundar Pichai pledged accelerated model releases and an “ambitious” Gemini 4, aiming to keep Google competitive at the AI frontier [2].

What to watch

• Q3 2026 earnings – will cloud revenue continue to outpace expectations and narrow the free‑cash‑flow gap?
• Gemini 3.5 Pro rollout – timing and benchmark performance will signal Google’s ability to match rivals.
• Capex trajectory – updates on 2027 infrastructure spending will reveal whether the AI investment pace is sustainable.

The cloud surge shows that enterprise AI demand can partially offset Alphabet’s heavy AI spend, but the negative free cash flow and delayed Gemini models raise questions about how quickly the investment will translate into sustainable profitability.