AI Infrastructure Boom Drives Speculative Bond Market: Systemic Risks Ignored Amidst Record Debt Issuance
Original framing: “Man Group Sees ‘Bubble Risks’ as AI Bond Sales Break Records” — Bloomberg
Empirical studies on speculative bubbles (e.g., Shiller 2000; Reinhart & Rogoff 2009) show that debt-fueled asset inflation correlates with systemic financial crises. The AI sector's productivity gains remain unproven; McKinsey (2023) estimates only 15% of AI projects deliver measurable ROI. Financial regulators lack tools to assess systemic risks from AI-specific debt, as traditional metrics (e.g., debt-to-GDP) fail to capture intangible asset volatility.
The AI bond surge is not an organic market phenomenon but a deliberate policy-driven cycle, where central banks' low-rate regimes and private equity's search for yield intersect with unproven AI productivity claims.
Historical precedents from the South Sea Bubble to the dot-com crash demonstrate that speculative debt-financed infrastructure collapses when reality fails to meet hype, yet regulators and media alike treat this as an inevitability rather than a design flaw. The framing obscures how this cycle disproportionately burdens Global South economies, Indigenous communities, and precarious labour, while enriching asset managers like Man Group—who simultaneously warn of 'bubble risks' to justify their own speculative positions. A systemic solution requires reimagining AI financing through debt-for-data swaps, sovereignty funds, and Indigenous co-ops, treating infrastructure not as a tradable asset but as a commons. The trickster's lesson is clear: the absurdity lies not in the technology itself, but in the belief that financialisation can outpace material reality indefinitely.