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102% of cloud revenue going to capex: UBS projects $4.1 trillion hyperscaler AI buildout through 2028

102% is the ratio UBS projects Amazon (NASDAQ: AMZN), Alphabet (NASDAQ: GOOG), and Microsoft (NASDAQ: MSFT) will collectively hit in 2026, measured as capital expenditure against cloud revenue. UBS estimates total hyperscaler capex at…

By Warren Ashby·Aug 23, 2026·2 min read·earnings·AMZN · GOOGL · MSFT · META

Key takeaways

  • UBS projects total hyperscaler capital expenditure of roughly $4.1 trillion from 2026 through 2028, comprising $1.009 trillion in 2026, $1.447 trillion in 2027, and $1.619 trillion in 2028.
  • UBS estimates Amazon, Alphabet, and Microsoft will collectively spend the equivalent of 102% of their cloud revenue on capex in 2026, easing to about 99% in 2027 and 94% in 2028.
  • The projected three-year capex of about $4.1 trillion is more than triple the $1.292 trillion the group deployed across the prior six years.
  • UBS's projections extend the spending pool beyond the four traditional hyperscalers to include SpaceX (~$335 billion), Oracle (~$276 billion), CoreWeave (~$130 billion), and Nebius Group (~$93 billion).
  • UBS identifies timing as the central risk, warning that if AI adoption lags the buildout pace, depreciation could outpace revenue and compress margins and free cash flow across the sector.

102% is the ratio UBS projects Amazon (NASDAQ: AMZN), Alphabet (NASDAQ: GOOG), and Microsoft (NASDAQ: MSFT) will collectively hit in 2026, measured as capital expenditure against cloud revenue. UBS estimates total hyperscaler capex at roughly $4.1 trillion from 2026 through 2028, the sum of $1.009 trillion in 2026, $1.447 trillion in 2027, and $1.619 trillion in 2028. That three-year figure is more than triple the $1.292 trillion the group deployed across the prior six years.

The ratio measures capital intensity, not solvency. Amazon, Alphabet, and Microsoft operate businesses far larger than cloud infrastructure, so the 102% figure captures how aggressively cloud revenue is being channeled into AI buildout. UBS projects the ratio will ease to roughly 99% in 2027 and 94% in 2028. Total capex still rises in each successive year.

Capex commitments by company, 2026-2028

UBS's projections for the three-year window show the spending pool extending well past the original four hyperscalers:

Company 2026-2028 capex (projected)
Alphabet (NASDAQ: GOOG) ~$938 billion
Meta Platforms (NASDAQ: META) ~$683 billion
Microsoft (NASDAQ: MSFT) ~$672 billion
Amazon (NASDAQ: AMZN) ~$628 billion
SpaceX (NASDAQ: SPCX) ~$335 billion
Oracle (NYSE: ORCL) ~$276 billion
CoreWeave (NASDAQ: CRWV) ~$130 billion
Nebius Group (NASDAQ: NBIS) ~$93 billion

Source: UBS (projected)

SpaceX, Oracle, CoreWeave (NASDAQ: CRWV), and Nebius Group (NASDAQ: NBIS) broaden the capital base beyond what the traditional hyperscaler narrative covers, and neocloud providers add further to the pool. For chipmakers, networking companies, power suppliers, and data-center operators, UBS notes, this spending becomes revenue somewhere in the supply chain.

The central risk is timing. Companies are committing capital now to capacity that may take years to reach full utilization. If AI adoption moves more slowly than the buildout pace, depreciation outpaces revenue and compresses margins and free cash flow across the sector. A data center generates no return on capital simply because it contains expensive GPUs: utilization, paying customers, and AI service revenue all have to materialize.

UBS frames the investment thesis directly: the winners will be companies converting the buildout into recurring revenue, high utilization, and durable free cash flow. On UBS's numbers, hyperscalers will be spending more than $1.6 trillion in a single calendar year by 2028, even after the initial rate of acceleration begins to slow.

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Frequently asked

What does the 102% figure actually measure?

It measures capital intensity—capital expenditure as a ratio against cloud revenue for Amazon, Alphabet, and Microsoft in 2026—not solvency, since these companies operate businesses far larger than their cloud infrastructure.

Which companies have the largest projected 2026-2028 capex?

Alphabet leads at about $938 billion, followed by Meta Platforms at ~$683 billion, Microsoft at ~$672 billion, and Amazon at ~$628 billion.

Why is the AI buildout considered risky?

Companies are committing capital now to capacity that may take years to reach full utilization, and if AI adoption moves slower than the buildout, depreciation could outpace revenue and compress margins and free cash flow.

Who benefits from this hyperscaler spending?

UBS notes the spending becomes revenue somewhere in the supply chain for chipmakers, networking companies, power suppliers, and data-center operators.

What does UBS say determines the winners of the buildout?

UBS says the winners will be companies that convert the buildout into recurring revenue, high utilization, and durable free cash flow.