Hyperscalers Are Collapsing. Is the AI "Bubble" Crashing or Consolidating?

This analysis focuses on the recent downturn among major hyperscalers, which Visser characterizes as a mid-cycle slowdown rather than a market collapse. He argues that the underlying demand for AI infrastructure, driven by token processing growth and the expansion of AI agents, remains robust. This phase of 'consolidation' allows for market indicators to reset, ultimately creating better risk-reward setups for investors as companies continue their heavy capital expenditures to secure a competitive edge in AI.

Visser emphasizes that the economy is being fundamentally 'rewired' around compute and energy, with AI integration shifting from simple experiments to agentic workflows. He highlights specific indicators, such as memory supply shortages and the emergence of 'agentic commerce' on platforms like Stripe, as evidence of this structural transformation. He dismisses concerns about an AI bubble, concluding that current valuations are supported by tangible spending and the strategic necessity of proprietary AI capabilities for global businesses.