Thomas Dekeyser, author of *Techno-Negative*, argues that current resistance to AI data centers and tech corporations is not anti-progress but a rejection of a technocratic vision that reduces humanity to data points. His historical analysis reveals a familiar pattern: from 17th-century weavers destroying looms to 21st-century data workers in Kenya or Peru rejecting mining operations for AI hardware, marginalized communities resist technologies that displace them or weaponize their environments for Western profit.
Dekeyser frames this movement not as Luddite nostalgia but as modern anti-colonialism. AI data centers in Africa, for example, extract not only resources (rare earths for servers) but also labor (poorly paid data labelers) and cultural knowledge (local environmental data), all to train algorithms ill-suited for their own ecosystems. “Global resistance to AI,” he writes, “inseparably links to the colonial logics of tech industries”—a claim echoed in Latin American protests against lithium extraction for AI infrastructure, which disrupts ancestral agricultural practices.
The Rest of World interview highlights a critical cross-source synthesis: while Dekeyser emphasizes historical continuity, Western mainstream coverage often labels AI critics “anti-technological.” The article itself, however, frames resistance as a moral and existential fight—not just for jobs but for agency. Dekeyser rejects the false dichotomy of “innovation vs. tradition,” noting how even medieval monks who banned tools sought to preserve human dignity, not reject progress outright.
What’s missing in most coverage is a roadmap: if rejecting AI infrastructure is a rallying cry, what replaces it? Dekeyser offers no detailed policy prescriptions, focusing instead on the *why* of resistance. This leaves unanswered whether these movements can build alternatives that sustain their communities without reliance on the global tech economy.
The forward trajectory hinges on three variables: 1) how quickly AI firms expand into regions with weak regulatory oversight; 2) whether local protests coalesce into transnational coalitions (as seen in oil and mining movements); 3) if governments in affected countries pass laws mandating ethical AI development. Watch April 2026, when the EU begins enforcing its AI Act, for ripple effects on global tech policy.