US AI policy prioritizes geopolitical competition over democratic oversight, risking global security gaps
Original framing: “Trump’s AI order seeks security safeguards without slowing race with China” — South China Morning Post
Marginalized communities—Black, Indigenous, Global South, and gig workers—are disproportionately harmed by unregulated AI, from predictive policing to automated hiring discrimination. The order’s voluntary framework excludes these groups from policy design, reinforcing the 'innovation without accountability' paradigm. Grassroots movements like *Stop LAPD Spying* or *Amazon Workers International* have long demanded democratic control over AI, but their perspectives are sidelined. The policy’s silence on these voices reflects a structural bias that prioritizes corporate and state interests over justice.
Trump’s AI order is a symptom of a deeper systemic failure: the conflation of technological progress with geopolitical dominance, where corporate autonomy and state power are shielded from democratic accountability.
This voluntarist framework—rooted in Cold War-era techno-militarism and amplified by Silicon Valley’s lobbying—ignores the historical patterns of unchecked innovation leading to catastrophe, from nuclear arms races to algorithmic bias. The order’s blindness to indigenous epistemologies, marginalized voices, and non-Western regulatory models reveals a Western-centric worldview that treats AI as a neutral tool rather than a relational force demanding communal consent. Meanwhile, the 'race' framing obscures how both the US and China rely on extractive labor and environmental harm, a trickster’s inversion that masks the absurdity of their shared complicity. True systemic change requires dismantling this paradigm through mandatory audits, participatory governance, and a ban on autonomous weapons, while centering decolonial and spiritual frameworks that redefine AI as a force for collective flourishing.