AI investment may need $4 trillion in revenue, Bob Elliott argues

AI investment may need $4 trillion in revenue, Bob Elliott argues
U.S. AI capex targets massive revenue

Bob Elliott, co-founder and CIO at Unlimited, analyzes the scale of anticipated U.S. capital expenditure in AI by 2030, which he estimates at $5 trillion.

He calculates that for such an investment to yield a reasonable IRR, it would need to generate $3 trillion to $4 trillion in annualized revenue. This implies around $25,000 in revenue per U.S. worker if AI-driven growth meets these targets.

Elliott has previously commented on market shifts outside of AI investment. He recently cited reduced central bank gold buying as a factor behind softer conditions and lower tightness in the gold market. In a separate note, he flagged allocator concerns after a new hedge fund 444 plan introduced higher fees and extended lockups.

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