Alphabet posted record artificial intelligence revenue on October 28, yet its stock disappointed across nearly every traditional metric, according to Bloomberg reporting. The divergence signals that markets are repricing AI infrastructure investments at a slower pace than tech giants anticipated. Semiconductor suppliers face steeper pressure: Moore Threads and Biwin, both major GPU suppliers, saw equity values plunge despite strong revenue growth, revealing a valuation disconnect across the AI supply chain.
Alphabet's earnings—the first major US tech earnings cycle to fully reflect AI-driven revenue—delivered higher AI revenue growth but missed on operating leverage, margin expansion, and capital efficiency. According to Financial Times analysis on October 28, the miss was broad enough to reset investor expectations on when AI monetization moves beyond compute consumption toward profit. Nikkei Asia noted that the disappointment reversed a three-week rally in mega-cap tech equities, signaling that revenue growth alone no longer justifies valuation multiples in the sector.
The semiconductor sector absorbed the sharper blow. Moore Threads and Biwin stocks fell sharply despite reported revenue surges, according to Wall Street Journal reporting, a pattern that exposes speculative overvaluation in the AI chip supply chain. Jensen Huang's guidance, the de facto market signal for data-center chip demand, will now carry heightened scrutiny. Traders are repricing the base case: not whether AI will drive chip sales, but whether those sales justify the current capital intensity of GPU production.
Microsoft's recent job-cut announcements compound the picture. The cuts target roles across cloud infrastructure and software development, signaling cost discipline despite ongoing AI investment. To be sure, Microsoft has framed the reductions as efficiency realignment, not a pullback on AI. Yet the dual signals—record AI revenue but margin pressure—suggest that enterprise buyers are achieving productivity gains from existing AI deployments, dampening urgency for new infrastructure spending.
The market is now pricing a slower AI capex cycle than spring 2025 consensus anticipated. Semiconductor index weakness (down sharply across regional exchanges on October 28) reflects this repricing more acutely than mega-cap tech losses. The gap between AI revenue growth and valuation momentum has narrowed substantially. This is the core dynamic: capital markets believed AI revenue would fund higher multiples indefinitely. Yesterday's earnings suggested otherwise, reshaping how traders value the entire infrastructure chain.