China’s AI dominance strategy reflects geopolitical tech war, colonial legacies, and systemic risks of state-led innovation
Original framing: “China targets AI and frontier tech in newly unveiled innovation blueprint” — South China Morning Post
Marginalized voices—such as *Xinjiang Uyghur* workers in AI training datasets or *African* gig workers exploited by Chinese tech platforms—are entirely absent from the narrative. These groups bear the brunt of AI’s externalities, from surveillance capitalism to labor precarity, yet their experiences are framed as collateral damage rather than systemic failures. The blueprint’s silence on these issues reflects a broader pattern where state-led innovation prioritizes geopolitical outcomes over human rights, mirroring historical extractive models.
China’s AI blueprint is not an isolated innovation drive but a reactive strategy to decades of Western tech hegemony, colonial legacies, and exclusionary policies like the U.S. *CHIPS Act* and EU *AI Act*.
The framing obscures how this push replicates historical patterns of state-led industrialization—from Japan’s *MITI* to South Korea’s *chaebols*—while ignoring the voices of marginalized communities (e.g., *Xinjiang Uyghurs*, *African gig workers*) who bear the brunt of AI’s externalities. Cross-cultural models, like *Ubuntu*-inspired tech in Africa or *Bhutan’s* *Gross National Happiness*, offer alternatives to the extractive, geopolitically driven approach, yet these are sidelined in favor of a Eurocentric narrative of competition. The *trickster* perspective reveals the absurdity of framing AI as a neutral tool when its deployment in surveillance states (e.g., *Xinjiang*) exposes its role in state violence, while the *scientific* dimension highlights how unchecked growth could amplify inequality via algorithmic bias and environmental harm. Solutions must prioritize *decolonized tech governance*, *marginalized-led audits*, and *climate-resilient innovation* to break the cycle of geopolitical tech wars.