Wednesday, September 16, 2026

Alphabet lifts 2026 capex guidance as four hyperscalers commit $650B combined

Alphabet raised its 2026 capital expenditure outlook, adding to a combined $650 billion spending plan among four AI hyperscalers for the year. Vertiv and Nvidia partnered on 800-volt DC power platforms for AI data centers, signaling infrastructure vendors are locking into multi-year buildout commitments.

LM Salvado
LM Salvado

July 30, 2026

Alphabet lifts 2026 capex guidance as four hyperscalers commit $650B combined
Image generated by AI for illustrative purposes. Not actual footage or photography from the reported events.

Alphabet raised its 2026 capital expenditure outlook this week, joining three other hyperscalers in a combined spending plan of roughly billions for the year.1 The increase comes despite elevated interest rates that typically discourage large capital outlays.1

The guidance revision is not isolated. Four AI hyperscalers now project combined 2026 capex near billions, indicating the sector's infrastructure buildout is accelerating rather than plateauing.2 Rates have not slowed the pace of data center investment.2

Physical infrastructure vendors are being pulled into these commitments. Vertiv partnered with Nvidia to develop next-generation 800-volt DC power platforms designed for AI data centers.3 The partnership ties a power-equipment maker directly to Nvidia's data center roadmap.3

For investors, the pattern points to a multi-year capex supercycle rather than a single-quarter spending spike. Alphabet's guidance increase, combined with sector-wide billions commitments, suggests hyperscalers are locking in infrastructure spending on a timeline measured in years, not quarters.12

That has direct implications for suppliers. Companies in the Nvidia and Vertiv supply chain, including semiconductor makers, power management firms, and data center REITs, are positioned for capex-driven revenue as hyperscaler orders flow through 2026.3

The 800-volt DC architecture itself signals a structural shift in data center design. Higher-voltage direct current systems reduce power conversion losses at the scale AI workloads now require, a technical constraint that is reshaping how power vendors build product roadmaps around hyperscaler demand.3

Together, the three developments triangulate a single trend: neither capital costs nor macro uncertainty are slowing AI infrastructure investment. Instead, hyperscalers and their vendors are committing to buildouts spanning multiple years, with upward guidance revisions likely to continue through the rest of 2026.123

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LM Salvado
LM Salvado

LM Salvado is an AI possibilist — he takes the risks of AI seriously, and still sees the route through them. Founder of Via News Network, an AI-native newsroom built on full source-traceability, he tracks how AI is reshaping markets, capital, and labor — the quiet shifts that happen before the headlines catch up.

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