The AI boom is not expected to burst in a single, dramatic event, but rather through a series of smaller, sequential collapses, according to Macquarie. This concept of 'rolling bubbles' reflects the complex and uneven nature of AI investment and adoption across different sectors and regions.

Corporations, particularly US hyperscalers, are rapidly depleting internal cash reserves, with debt issuance projected to reach approximately $180 billion. Capex-to-revenue ratios are rising above 50%, indicating the aggressive pace at which AI is being funded. Despite this, AI revenues are already estimated at close to $175 billion annually, covering operating expenses and growing at a rate three times faster than previous IT waves.

The Bank for International Settlements has warned that AI now exhibits classic bubble characteristics, including rapid capital deployment and increasingly complex off-balance sheet structures. These factors may make current investment figures understated and more fragile than they appear. Macquarie notes that the current AI cycle is historically extreme in both scale and speed.

The consequences of this AI-driven investment boom could be significant. Companies may face heightened financial risks due to overreliance on speculative funding models. Market volatility could increase as investors reassess the sustainability of AI-related ventures. Governance challenges may also emerge, particularly as firms navigate the complexities of managing AI-driven growth and debt.

The AI boom remains a dynamic and evolving phenomenon. While the current trajectory suggests continued growth, the potential for a 'rolling bubble' scenario underscores the need for careful financial planning and risk management. The long-term impact of AI on global markets and economies will depend on how effectively these challenges are addressed.