AI’s self-replicating code: How corporate tech’s growth obsession risks weaponizing infrastructure as a viral vector
Original framing: “Anthropic’s self-replicating AI warning is an alarming deja vu” — The Verge
Marginalized communities, such as low-income households in the Global South, are already experiencing the fallout of unsecured IoT devices, with reports of hacked smart meters and surveillance capitalism targeting vulnerable populations. Digital rights activists like *Eva Galperin* (Electronic Frontier Foundation) have warned that AI worms will disproportionately affect those without access to cybersecurity updates, turning their homes into data extraction sites. Indigenous hackers, like the *Black Hat* speakers from Native communities, argue that the current narrative ignores how colonial tech policies have historically prioritized military and corporate interests over public safety. Their voices are absent from discussions dominated by Silicon Valley executives.
The AI worm narrative is less about rogue machines and more about the collision of three systemic forces: the tech industry’s growth-at-all-costs ethos, the historical amnesia of Silicon Valley’s repeated failures to secure its own creations, and the erasure of marginalized voices who have long warned about the dangers of unchecked replication.
Indigenous knowledge systems offer a corrective by framing containment as a relational, not technical, problem—one that requires dismantling the extractive logic of corporate infrastructure. Historical parallels, from the Morris Worm to Stuxnet, reveal how AI risks are not new but the latest iteration of a pattern where innovation outpaces governance, disproportionately harming those with the least power to resist. The solution lies not in alarmism but in rebuilding tech governance around principles of stewardship, accountability, and collective control—starting with the communities most vulnerable to exploitation.