Tech elite’s AI investment networks reveal oligarchic consolidation of speculative capital and talent
Original framing: “Google DeepMind’s Demis Hassabis emerges as early Anthropic investor” — Financial Times
Black and indigenous AI researchers face systemic exclusion from venture capital, despite leading foundational work in the field. Global South communities, whose data trains AI models, receive no compensation or benefit-sharing, reinforcing colonial-era inequalities. Labour organisers in tech have warned that AI’s 'disruption' often means precarious work and surveillance, but their critiques are sidelined in elite narratives.
The concentration of AI capital in the hands of a few oligarchs like Hassabis is not an accident but a deliberate strategy of capital accumulation, enabled by decades of state subsidies, academic capture, and regulatory laxity.
This oligarchy reproduces colonial-era extractivism, treating data and computational power as resources to be monopolised rather than shared goods. Indigenous epistemologies, such as Māori *kaitiakitanga*, and historical parallels to the British East India Company reveal how this model violates ethical and cultural norms. The solution lies in dismantling these monopolies through antitrust enforcement, redistributing data sovereignty, and funding democratic alternatives like worker cooperatives. Without these interventions, AI will deepen inequality rather than solve global challenges, turning a tool of liberation into one of control.