
Alphabet has raised its 2026 capital spending forecast to $195 billion(約31兆円)–$205 billion(約33兆円) to build more AI computing capacity, yet the company still cannot keep up with demand from developers and enterprise customers. During its earnings call, CEO Sundar Pichai and CFO Anat Ashkenazi emphasized that the company remains "supply constrained," with strong token usage and cloud adoption outpacing available infrastructure. The company plans to lease third-party capacity temporarily while scaling internal infrastructure, and posted stronger-than-expected Q2 results, though the higher spending outlook has divided Wall Street between concerns about a capital spending race and confidence in cloud demand.
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Alphabet raised its 2026 capital expenditure outlook to $195 billion(約31兆円) to $205 billion(約33兆円), up from $180 billion(約29兆円) to $190 billion(約30兆円), citing persistent capacity constraints despite the increase. CEO Sundar Pichai said demand for AI models and cloud services continues to exceed available infrastructure, and the company plans to expand use of third-party capacity in the third quarter as a bridging strategy.
Why it matters
The higher spending signals Alphabet sees sustained, strong enterprise demand for AI—Google Cloud's performance was highlighted as a key metric—but also reflects a structural challenge: even with billions in new investment, the company cannot meet customer requests fast enough. Wall Street is split: some worry the spending could trigger a broader "CapEx arms race," while others see it as justified by accelerating cloud demand.
What to watch
Alphabet posted second-quarter revenue of $119.80 billion(約19兆円) (beating analyst estimates of $116.82 billion(約19兆円)) and earnings of $9.11 per share (topping estimates of $2.87). The company's ability to close the gap between supply and demand through 2026 investments, and whether competitors follow with similar spending increases, will shape AI infrastructure competition.
Alphabet reported second-quarter results that beat Wall Street expectations across the board, posting revenue of $119.80 billion(約19兆円) (compared with analyst estimates of $116.82 billion(約19兆円)) and earnings per share of $9.11 (compared with estimates of $2.87). Yet the company's earnings call was dominated by a more sobering message: despite the strong results, Alphabet cannot build AI infrastructure fast enough to meet customer demand.
During the call, CEO Sundar Pichai stated that "demand for our models is translating to strong token usage across developers and enterprise customers, and we continue to be supply constrained, a sign of momentum and rapid adoption." CFO Anat Ashkenazi reinforced the point, saying: "We're still in a supply constraint environment. I think we've said this now for multiple quarters in a row, we are seeing very strong demand, both from external cloud customers as well as across the business." In response, Alphabet raised its 2026 capital expenditure outlook to $195 billion(約31兆円) to $205 billion(約33兆円), a jump of $10 billion(約1.6兆円) to $15 billion(約2.4兆円) from the prior forecast of $180 billion(約29兆円) to $190 billion(約30兆円).
To bridge the gap between demand and available capacity, Alphabet plans to expand its use of third-party computing capacity in the third quarter while it continues building out internal infrastructure. The strategy acknowledges a hard reality: the company cannot close the supply-demand gap through internal investment alone, at least not in the near term.
Wall Street reacted with mixed sentiment. Investor Gary Black raised concerns that the higher spending could "potentially trigger a new CapEx arms race," suggesting that competitors may feel pressure to match Alphabet's investment to stay competitive in AI. Analyst Gene Munster from Deepwater Asset Management took a more optimistic view, calling Google Cloud's performance "the most important number" in the quarter and pointing to strong enterprise AI demand as justification for the increased spending. That split opinion—between those worried about runaway capital intensity and those convinced that customer demand is real and worth the cost—will likely dominate industry discussion as other cloud providers and chip makers weigh their own infrastructure commitments.
Alphabet's decision to raise its 2026 capital spending by $10 billion(約1.6兆円) to $15 billion(約2.4兆円) reflects a fundamental mismatch between artificial demand and available infrastructure—a problem that persists even as the company accelerates investment. CEO Sundar Pichai and CFO Anat Ashkenazi both emphasized that this supply constraint has persisted across multiple quarters, signaling not a temporary bottleneck but a structural challenge in scaling AI services. The company's plan to lease third-party capacity in Q3 while building internal infrastructure suggests that even aggressive capital deployment cannot solve the problem at the speed customers demand.
Wall Street's divided reaction reveals genuine uncertainty about whether such spending is prudent or excessive. Investor Gary Black warned that the higher spending could spark a broader "CapEx arms race," implying that competitors may feel compelled to match Alphabet's investment to remain competitive. Conversely, analyst Gene Munster argued that Google Cloud's strong performance—highlighted by Alphabet as the "most important number" of the quarter—justifies the investment, since enterprise demand for cloud AI appears robust. Alphabet's Q2 results support the bullish case: the company beat revenue estimates by nearly $3 billion(約4800億円) and earnings-per-share estimates by more than 3×, driven in part by strong cloud adoption.
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