The ordinary apocalypse

Intellectual debate over artificial intelligence seems to be fractured between competing epochal metaphors. Venkatesh Rao, in a brilliant essay, suggests that contemporary alarms over automation reflect the anxiety that accompanied early capitalism, framing algorithmic disruption as the turbulent dawn of an emergent merchant order. In sharp contrast, Arundhati Roy treats machine learning as capitalism’s final destination, an apocalyptic consolidation that exhausts and oversimplifies social life. Both metaphors encompass comprehensive historical trajectories, yet neither fully explains why the infrastructure of algorithmic adoption looks less like a civilizational rupture than a series of minor, voluntary administrative concessions.

The discrepancy between grand epochal theory and technical reality is exposed by the mundane surfaces where corporate systems actually take hold. Amazon inserts surveillance tech directly onto personal wardrobe through a quiet, listening AI wearable, normalizing persistent acoustic capture under the guise of ambient convenience and always-on recall.

In developer infrastructure, automated engineering platforms introduce continuous memory for every agent, shifting the locus of institutional recollection from human programmers to synthetic tooling. Even public disaster assessment yields to private computation as meteorologists rely on commercial labs using artificial intelligence to make predictions.

By fixating on whether automation marks an origin or an apocalypse, observers miss how power secures compliance: small, proprietary integrations that quietly become calcified baselines.