UBS projects Amazon, Alphabet, and Microsoft will spend about 102% of their combined cloud revenue on capital expenditures in 2026, recycling nearly all of that income into AI infrastructure. The bank now expects hyperscalers to spend roughly $4.1 trillion on AI buildout from 2026 through 2028, more than three times the total of the prior six years.
Amazon, Alphabet, and Microsoft will collectively plow about 102% of their cloud revenue into capex in 2026, according to UBS estimates. That does not mean the companies are burning through more cash than they generate, since their broader businesses are larger and more diversified than cloud alone. Instead, the ratio shows how aggressively cloud income is being funneled back into AI infrastructure.
Cloud revenue tells the story
UBS expects that ratio to ease to roughly 99% of cloud revenue in 2027 and 94% in 2028, yet total spending keeps climbing. The bank projects total hyperscaler capex at $492 billion in 2025, $1.009 trillion in 2026, $1.447 trillion in 2027, and $1.619 trillion in 2028. That trajectory means the growth rate can slow even as the dollar amount keeps rising.
Amazon, Alphabet, Microsoft, and Meta Platforms account for the largest portions of the buildout, but SpaceX, Oracle, and newer entrants are expanding the spending pool too. As a result, the AI infrastructure opportunity is spreading beyond the handful of companies investors typically associate with the boom.
A $4.1 trillion bet across the industry
UBS's cumulative 2026-2028 capex estimates put Alphabet at about $938 billion, followed by Meta Platforms at roughly $683 billion, Microsoft at about $672 billion, and Amazon at around $628 billion. SpaceX and Oracle add an estimated $335 billion and $276 billion respectively, while CoreWeave and Nebius Group contribute smaller but still substantial sums.
Total hyperscaler capex rises from $1.009 trillion in 2026 to $1.619 trillion in 2028, so the industry could keep spending more than $1.6 trillion a year even after the initial acceleration begins to moderate. That pattern, UBS suggests, is what separates this cycle from a normal technology upgrade.
The risk is spending without returns
Companies eventually need AI revenue and cash flow to justify those investments, since a data center does not generate attractive returns merely because it holds expensive GPUs. Capacity has to stay utilized, customers have to pay for it, and AI services have to produce enough revenue to cover depreciation, electricity, financing, and operating costs.
There is also a timing risk: companies can spend billions today on infrastructure that may take years to reach full utilization. If AI demand grows more slowly than expected, depreciation expenses could rise faster than revenue and pressure margins and free cash flow. Still, the fact that multiple companies are committing at this scale reduces the odds that the buildout is simply one company's speculative bet.
The 102% figure therefore reads less as a warning about reckless spending than as a measure of how radically AI is reshaping the cloud economy. The companies best placed to benefit won't necessarily be the biggest spenders — they'll be the ones converting that infrastructure into recurring revenue and durable returns on capital.
Source: 24/7 Wall St.
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