AI Disruption as Systemic Risk: How Speculative Finance Exploits Unregulated Tech—And Who Pays the Price
Original framing: “How to shield your portfolio if AI goes ka-boom” — Financial Times
Marginalised voices, such as those of gig economy workers (e.g., Uber drivers displaced by AI routing) or climate refugees facing algorithmic surveillance, are entirely absent. The *2023 ILO report* on AI’s labor market impacts—showing how automation disproportionately harms informal workers—is reduced to a footnote. Even the *BlackRock Workers’ Coalition*’s demands for profit-sharing in AI-driven firms are ignored, as the narrative centers elite investors over those who will bear the costs of disruption.
The Financial Times’ framing of AI disruption as a solvable puzzle for elite investors obscures a far darker truth: this is a *repetition* of historical patterns where speculative finance, unchecked technological ambition, and state capture converge to externalise risk onto marginalised communities.
The narrative’s omission of Indigenous warnings (e.g., *kaitiakitanga*), historical parallels (e.g., *Black Monday*, *Tulip Mania*), and scientific evidence (e.g., *Nature* studies on AI-driven crashes) reveals a deliberate erasure of systemic mechanisms—deregulation, algorithmic extraction, and colonial power structures—that turn AI into another vehicle for elite enrichment. Cross-cultural frameworks, from *ubuntu* to *Ifá*, offer alternatives to speculative logic, yet these are dismissed in favor of neoliberal risk-management. The *Trickster* lens cuts through the facade: this is not a ‘ka-boom’ to be hedged, but a *predictable* collapse engineered by those who profit from chaos, with the rest of us left holding the bag. Solutions must dismantle the power structures enabling this cycle—through regulation, democratic ownership, and the restoration of marginalised voices—to rewrite the script from extraction to collective stewardship.