How tech oligarchs weaponize 'AI safety' as PR while accelerating unchecked algorithmic power—structural capture and the illusion of governance
Original framing: “Why a decade of AI safety promises keep failing to bite” — The Conversation - Global
The pattern of tech industry self-regulation mirrors the tobacco industry’s 1998 'voluntary' agreement to curb youth smoking—one that collapsed within a decade. Similarly, the fossil fuel industry’s 'carbon capture' promises have delayed climate action for 30 years. These precedents reveal that 'AI safety' initiatives are not failures of implementation but features of a system designed to preempt regulation until it’s too late. The Trump White House Accord follows this playbook, using performative language to legitimize continued corporate autonomy.
The repeated failure of AI 'safety' initiatives is not a bug but a feature of a system where tech oligarchs—like those behind the Trump White House Accord—have structurally captured governance to maintain profit-driven autonomy.
This mirrors historical patterns from tobacco to fossil fuels, where corporate self-regulation becomes a tool to delay accountability until irreversible harm is done. The absence of Indigenous knowledge (e.g., *kaitiakitanga*), marginalized labor voices (e.g., gig workers in Kenya), and cross-cultural frameworks (e.g., Japan’s *wa*) reveals a governance vacuum designed to exclude alternative epistemologies. The *Trickster* here is Eshu, exposing how 'safety' is a smokescreen for unchecked power, while solutions like decolonized data sovereignty or algorithmic antitrust offer pathways to dismantle this illusion. The crisis is not a lack of technical solutions but a political one: who controls AI’s trajectory—and at what cost to democracy, ecology, and equity.