Alphabet increases its 2026 capex forecast to between $175B and $185B, above ~$120B est. and up from $91.4B in 2025; Q4 capex was $27.9B, vs. 14.3B in Q4 2024
Search giant reports more than $400bn in annual revenue for the first time — Google said it plans to double its capital expenditure …
Financial TimesStephen Morris
Context & Ripple Effects
Alphabet’s 2026 plan extends a sharp investment ramp: it had already guided to roughly $75B of 2025 capex, above expectations, alongside cloud growth in its prior 2025 spending outlook.
The move also sits within a broader escalation among the largest platforms: Alphabet, Microsoft, Amazon and Meta had forecast more than $320B of combined 2025 spending after a major 2024 increase in their collective capex plans.
First-order effects
Alphabet resets investor expectations for near-term capital intensity, with its 2026 infrastructure budget materially above the consensus estimate cited in the report.
The company gains more capacity to support its AI and cloud ambitions, but must demonstrate that the enlarged investment program produces sufficient revenue and operating leverage.
Second-order effects
Other hyperscalers face greater pressure to preserve or expand their own infrastructure budgets, making spending restraint harder while Alphabet is accelerating.
The higher budget reinforces demand visibility for the compute, memory and data-center supply chain, while increasing the importance of capacity availability and deployment execution.
Third-order effects
If the pattern persists, frontier AI capability will depend increasingly on the ability to finance and operate infrastructure at exceptional scale, concentrating advantage among the largest platforms.
The key uncertainty is whether AI and cloud demand monetizes quickly enough to support this spending pace; that outcome will determine whether the cycle produces durable infrastructure moats or excess capacity.
The trend: Alphabet’s forecast is one data point in an AI infrastructure supercycle in which hyperscalers are turning compute capacity into a core competitive and financial commitment.
Regarding the question about how early we are in AI? $GOOG guided Capex this year to grow at 108% at $175-185B. Previously the Street was expecting 30% growth, or $116B. Meta is now well behind Google at 74% growth. Let the arms race continue.
$GOOGL is a company that doesn't do hype. For them to go and increase CapEx from $90B to $180B is probably the most bullish thing long-term investors can see as it shows the scale of future revenue growth. I am shocked that at this stage most still don't understand this.
Alphabet A+ results and Google Cloud and Search clear standouts. The 26 Capex number we loudly applaud as Google aggressively going after AI Revolution. In a massive position of strength for 2026...also positive tea leaves around Apple AI partnership. Positive for tech/chips 🏆🐂
2026 CAPEX: $GOOGL - $175B-$185B vs $119B est $META - $115B-$135B vs $110B est $TSLA - $20B vs $11B est $AMZN - *tomorrow vs $145B est The hyperscalers are going all in on AI. [image]
Meta plans to spend up to $135B on capex this year Google plans to spend up to $185B on capex this year How exactly do OpenAI and Anthropic not fall behind without raising $100B rounds, or going public, this year? Maybe more importantly, does AI spending double in 2027 again?
$GOOGL said ~60% of capex is going toward servers & machines with ~40% into data centers & networking. About 50% of 2026 ML compute goes to Google Cloud which means half of their AI compute is being directed toward revenue-generating external demand. [image]
Google heading to $200 billion in Capex. Anthropic has zero ability to compete with that. End of Story. Amazon doesnt seem to care OAI is a complicated shitco that holds Microsoft back from vertical integration. Meta is the only other viable competitor to Google.