Market Insight: AI Bubble Risk And Capital Cycles

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Executive Summary

This report examines the formation of the AI capital system, analysing how capital flows, infrastructure build-outs and market expectations may currently outpace verifiable productivity gains and cash flows. It defines the four distinct phases of this economic cycle, tracing the trajectory from the initial investment supercycle and hidden accumulation of structural stress, to visible market fracturing and inevitable systemic rebalancing. The analysis explores critical tension points – such as valuation concentration, the inference utilization gap and the enterprise return on investment (ROI) wall – revealing how current reinforcing loops may trigger a sharp correction in asset prices and capacity. It also highlights strategic playbooks for vendors and buyers, outlining how market participants can transition from narrative-led expansion to evidence-based deployment, to capture durable value in a post-bubble economy.
Summary for decision-makers
The AI capital system
Phase 1: The investment supercycle
Phase 2: Building mechanics – and where stress builds
Phase 3: When stress turns visible
Phase 4: System rebalancing in a correction scenario
How market participants adapt
Vendor playbook for a volatile AI cycle
Buyer playbook for a volatile AI cycle
Figure 1. The AI capital stack and reinforcing loop
Figure 2. Scenario map for the AI capital cycle

About the Authors

Henry Kirkman

Henry Kirkman

Industry Analyst

Henry is an Industry Analyst at Verdantix. His current research agenda focuses on quality management, field service management and industrial applications of AI, including Gen...

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Chris Sayers

Chris Sayers

Senior Manager

Chris is a Senior Manager at Verdantix. His current research agenda targets enterprise AI integration and adoption, AI market trends and agentic AI. Chris joined Verdantix in ...

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