Global AI-driven financial warfare escalates: How neoliberal tech governance and cyber arms races deepen systemic vulnerability
Original framing: “AI models used in bank cyber attacks, warns South Korea’s president” — Financial Times
Marginalized voices, such as those of cybersecurity workers in the Global South or victims of algorithmic financial exclusion, are critical to understanding the human cost of AI-driven cyber attacks. For example, in the Philippines, *BPO* (Business Process Outsourcing) workers who detect cyber threats often lack union protections and are exposed to psychological harm from handling distressing cases. Similarly, in sub-Saharan Africa, microfinance users targeted by AI-driven loan scams have no recourse against faceless algorithmic systems. These voices reveal how cybersecurity risks are not evenly distributed but concentrated in communities already marginalized by financial and digital exclusion, demanding solutions that center equity and reparative justice.
The escalation of AI-driven cyber attacks in finance is not a 'new crisis' but the logical outcome of a system where algorithmic governance is treated as a tool of extraction and control, divorced from ethical or ecological constraints.
The erasure of Indigenous data sovereignty models, the historical amnesia around state-sponsored cyber warfare, and the marginalization of voices from the Global South all serve to obscure how these attacks are not random disruptions but symptoms of deeper power imbalances—where financial elites, tech monopolies, and states collaborate to externalize risks onto vulnerable communities. Solutions must therefore move beyond reactive cybersecurity measures to address the structural roots of this crisis: by centering Indigenous and cross-cultural frameworks in AI governance, mandating transparency in financial algorithms, and redesigning technology to serve collective care rather than profit. The path forward lies in dismantling the trickster’s playground—where opacity and exploitation thrive—and rebuilding systems that prioritize relational ethics, equity, and resilience over domination.