Yesterday we walked through Morgan Stanley's dollar-by-dollar map of AI's $1.6 trillion 2027 capex bill, then asked who is going to finance it. Both pieces assume the money actually gets spent. The last part of the report (available to pro subs) asks what happens if it doesn't.MS's public policy strategist Ariana Salvatore frames the main constraints on the AI infrastructure story as "people, power, and politics," and the downside section works through all three. Spoiler alert: the bank still expects the buildout to happen, just with a growing list of asterisks attached.The Midterm Wedge
People, Power And Politics: Morgan Stanley Maps The Three Ways AI's $1.6 Trillion Capex Plan Can Collapse
Morgan Stanley maps three ways AI's $1.6T capex plan could falter: political pushback on data centers, memory pricing
· Source: zerohedge.com
Summary
Morgan Stanley's analysis identifies three structural risks to the $1.6 trillion AI capex cycle: political constraints (state-level permitting and utility commissions tightening data center rules ahead of midterms), capital-cycle pricing dynamics (memory prices at record levels with risk of 20-30% collapse like 2022 NAND), and a 32 GW US power shortfall through 2028-2029 that could strand expensive inventory. The bank remains constructively biased on a "conditional buildout" but warns the three risks compound each other, with the power gap and regulatory delays potentially triggering a synchronized volume and price collapse—a scenario the market is under-positioned for.
Counting Ticks summarises and links to reporting from third-party publishers. The full article and its copyright remain with zerohedge.com.
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