What’s at stake in AI’s trillion-dollar gamble

Hyperscalers must roughly triple productivity and hit trillions in new revenue by 2030 or risk the largest capital misallocation in history.

• $1.1T bet by 2027: Wharton's Jessica Wachter estimates hyperscalers need to grow productivity/earnings by 2.7x by 2030 just to break even on projected spend.
• Revenue gap is stark: Gary Gensler notes 2026 AI revenues (~$150-200B) vs. $750B in hyperscaler capex that year — spending far outpaces revenue.

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