The split gives both sides of Wednesday’s rotation a research anchor, which may keep AI infrastructure stocks volatile as investors weigh which camp the next earnings season supports.
Names exposed to data centre construction and power appear most vulnerable to the state-level permitting and cost risks both houses flag
Hyperscaler debt issuance is a pressure point to watch, given Citrini’s concern about softening demand for those securities. In Asia, the debate feeds directly into AI-linked heavyweights such as SoftBank , where sentiment toward the global buildout drives pricing. — UBS and Citrini agree on where the AI risk lives, and disagree completely on how big it is. Summary: UBS raised its AI capex forecast s to $1.0 trillion for 2026 and $1.4 trillion for 2027, saying demand remains strong Citrini says AI capex growth has peaked, with hyperscaler spending near $1 trillion against AI revenue of at least $200 billion Citrini sees downside risk from hyperscaler issuance, slowing backlog growth and AI price cuts Both see state-level decisions, notably in Texas, as more important for data centres than control of Congress Citrini warns of a shift toward late-cycle stagflation; UBS stays constructive on equities but urges trimming tech concentration AI infrastructure stocks fell sharply on Wednesday even as the broader US market rallied Two prominent research houses have read the US election results and reached opposite conclusions on the AI spending boom, with UBS raising its capital expenditure forecasts while Citrini Research says growth in AI infrastructure investment has already peaked.
UBS has lifted its aggregate AI capex forecasts to $1.0 trillion for 2026 and $1.4 trillion for 2027, arguing that demand for AI infrastructure remains strong. It does not expect tighter congressional oversight following the Democrats’ wins to derail the investment cycle, since broad federal restrictions would face both legislative and presidential hurdles. It does, however