Google cloud revenue jumps 82% as AI spending fears ease

Google's cloud revenue jumped 82% in the second quarter, showing the company's core businesses can absorb the record capital expenditures needed to compete in artificial intelligence.

"The cloud growth shows Google's AI investments are translating into real customer demand, even as the spending depresses near-term free cash flow," said Dan Ives, managing director at Wedbush Securities.

The cloud division's 82% surge came as Alphabet's free cash flow turned negative, reflecting heavy investment in AI data center capacity. Google joins Microsoft, Amazon and Meta in a spending cycle that has pushed combined annual CapEx for the four hyperscalers to an expected $710 billion this year, according to UBS estimates cited by Reuters.

The tension between AI spending and returns has become the defining question for Big Tech investors. Microsoft and Meta shares were punished earlier this year for their heavy AI investments, while Google and Amazon have largely avoided the same fate. Alphabet's ability to sustain that pattern will depend on whether cloud growth and advertising revenue can continue outpacing the cost of building out AI infrastructure.

The company spent heavily on data centers and AI chips in the quarter, part of a broader industry push that saw the four largest US tech companies spend a combined $129.8 billion in the first quarter alone, an 81% jump from a year earlier and 9% higher than the fourth quarter of 2025. The Bank for International Settlements warned in June that a potential scaling back of AI capital expenditure could disrupt the global financial system, drawing comparisons to the 2008 crisis.

Google's advertising business, still the company's primary profit engine, has remained resilient. Search and YouTube ad segments have benefited from increased digital ad spending, providing the cash flow needed to fund the AI buildout. The question for investors is whether that revenue growth can keep pace with the accelerating cost of AI infrastructure.

The $710 Billion Question

The combined CapEx plans of Alphabet, Amazon, Microsoft and Meta represent a bet that AI will generate returns commensurate with the investment. UBS estimates that hyperscaler spending will rise 76% this year to $673 billion in 2026, before slowing to 25% growth in 2027 and just 6% in 2028. The trajectory suggests the current spending cycle may have two to three years before investors demand clearer evidence of returns.

For Google, the path forward hinges on converting its cloud momentum into sustained profitability. The 82% cloud revenue growth outpaces both Microsoft Azure and Amazon Web Services, though from a smaller base. Remaining performance obligations, a measure of signed but unrealized contracts, will be a key metric for investors gauging whether that growth trajectory is sustainable.

The spending wave has also reshaped the competitive dynamics in AI chips. Nvidia has been the primary beneficiary of hyperscaler GPU purchases, but Google's in-house tensor processing units and Amazon's Trainium chips represent a push to reduce dependence on external suppliers. AMD has also gained traction with its MI300 series, offering an alternative to Nvidia's dominant H100 and Blackwell platforms. For chip suppliers, any slowdown in hyperscaler CapEx would directly impact revenue growth expectations.

Alphabet shares fell in after-hours trading after the report, as the negative free cash flow and elevated spending overshadowed the cloud growth. The stock trades at a premium to some peers, reflecting investor confidence that Google's core businesses can fund the AI transition without margin compression. Whether that confidence is warranted will become clearer in the coming quarters as the spending cycle matures.

This article is for informational purposes only and does not constitute investment advice.