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$7.7 trillion AI bet: Can hyperscalers earn enough to justify the spending?

Six major hyperscalers are projected to spend $7.7 trillion on AI between 2026 and 2030, but generating adequate returns will be a challenge. UBS estimates they need $1 trillion in additional earnings before interest and taxes by 2031. The key questions are whether AI boosts productivity and companies can monetise those gains.
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