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Juli 31, 2026
Google’s AI surge is winning users fast, but investors are staring at the tab
Alphabet reported strong second-quarter revenue of $119.8 billion, but also its first-ever negative free cash flow of -$5.8 billion due to massive capital expenditures on AI infrastructure. The company raised its spending projections for the year, signaling a continued aggressive investment in data centers and computing power to support its AI ambitions, including its Gemini model, which is nearing one billion users.
Alphabet’s latest quarter delivered a very 2026 kind of contradiction: blockbuster growth almost everywhere, and a cash burn big enough to rattle Wall Street. Google’s AI bet is clearly working in the market. The question is whether it is working fast enough for investors.
On the bullish side, the numbers are hard to ignore. Alphabet posted $119.8 billion in second-quarter revenue, while Google Cloud jumped to $24.8 billion, up 82% year over year, suggesting enterprise customers are paying real money for AI tools and infrastructure.1 Google is also turning Gemini into a mass-market product. The app has reached 950 million monthly active users, putting it within striking distance of ChatGPT’s roughly 1 billion users.2
Google’s leadership is leaning into that momentum. Sundar Pichai said, “Our AI investments are redefining what’s possible across every part of our business,” as he touted growth across Search, YouTube, Cloud and Gemini.
3 On X, he was even blunter about one adjacent AI milestone: “1B next!”
4
But the bear case is just as sharp. Alphabet reported its first-ever negative free cash flow quarter as a public company, roughly minus $5.8 billion to $5.9 billion, after spending nearly $45 billion in one quarter on AI infrastructure.5 It also raised its 2026 capital expenditure forecast to as much as $205 billion, reinforcing the sense that this buildout is not close to peaking.6 That helps explain why strong earnings still failed to calm investors.7
There is also a deeper unease inside the AI race itself. While Google is shipping smaller, cheaper models and piling up users, reports of delays around Gemini 3.5 Pro and employee frustration at DeepMind complicate the victory lap.8
So both camps have a point. Google looks more competitive in AI than skeptics claimed a year ago. But it is also proving an uglier truth about this boom: even one of the richest companies on earth may have to bleed cash before the payoff shows up.