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Can hyperscalers justify their huge AI capex?


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The core

Earnings season has seen endless spending commitments from tech companies as they scramble to build out data center capacity amid the AI boom.

Hyperscalers, including the likes of Amazon, Microsoft, Meta and Alphabet, announced capital expenditure could hit $700 billion on AI this year — that’s more than the GDP of countries like the United Arab Emirates, Singapore and Israel.

Investors have been jittery. Shares plunged last week as more than $1 trillion was wiped from the market caps of Big Tech companies amid concerns over the scale of AI spending and questions over returns.

While there’s been something of a recovery this week, uncertainty over astronomic AI spending continues to make folk nervous.

Amazon’s largest AI data center has seven completed buildings, with 30 total buildings planned on 1,200 acres in New Carlisle, Indiana, shown here on October 8, 2025.

Erin Black

The AI bet becomes ‘binary’

Positive on hyperscaler stock

Despite market wobbles, many analysts are still broadly bullish on hyperscaler stocks.

“The returns for the main data center builders (Amazon, Microsoft and Google) are already positive since they are pre-selling all of their capacity before they even build the data center,” Gil Luria, head of technology research at D.A. Davidson, told me.

He added that more upside is likely coming further down the line. “As [AI] usage grows exponentially and consumers and businesses will be willing to pay more for the value being created, we expect the positive returns to materialize.”

But timelines on recouping huge capex are “very much unknown” right now, Field told me. “The estimated useful life on much of this spend, including data centres…



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Can hyperscalers justify their huge AI capex?

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