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The constraint in AI infrastructure investing is timing. Hyperscale AI buildouts require capital expenditure commitments that precede revenue recognition by multiple quarters.
The spending shows up immediately in operating costs and depreciation; the return comes later, contingently, and only if the infrastructure gets monetized at sufficient scale.
Any quarter caught in the middle of that cycle will look worse on paper than it may deserve.
Alphabet's latest results fell exactly there, delivering an imperfect quarter against a backdrop of increasing AI spend while the market remains far from forgiving.
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