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Gary Gensler
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AI hyperscalers may need 2.7‑times productivity boost by 2030 to justify $1.1 trillion spend
New research by Wharton finance professor Jessica Wachter and co‑author Jonathan Wachter warns that AI hyperscalers will have to increase productivity by 2.7 times by 2030 to make the roughly $1.1 trillion of…
2 sourceswsj.comyellow.com -
AI hyperscalers must boost productivity 2.7× to justify $1.1 trillion data‑center spend by 2030
Finance professor Jessica Wachter examined the economics of the AI boom by asking how fast the biggest cloud providers must grow earnings to cover roughly $1.1 trillion in data‑center spending through 2027. She finds…
4 sources HN 5fool.comfinance.yahoo.comCNBC TechnologyMIT Technology Review AI
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AI hyperscalers may need 2.7‑times productivity boost by 2030 to justify $1.1 trillion spend (24 September 2026).