The attention economy and recommendation algorithms explain why we believe technology knows us. This article examines the limits of that idea: the irreducibility of human behavior and how digital systems optimize present actions rather than predicting who we are.
Attention is central to the digital environment: algorithms, social media, and feeds organize a constant flow where everything becomes immediate content.
Recommendation algorithms shape digital experience, aiming to maximize engagement. This constant flow of brief stimuli adapts perception, reduces emotional duration, and sustained involvement, leading to indifference.
Recommendation algorithms shape the digital experience by filtering content based on interactions. They personalize information and alter the perception of a common space, focusing on replicating each individual's personal version.
Examines how mobile phone-driven digital environments reshape attention, cognitive function, and social behavior—mirroring historical harm caused by leaded gasoline.
Analyzes how judgment and decision-making shift in a digital world shaped by AI, algorithms, and bureaucracy. Explores subjective relevance and technological automation.
Analysis of the parallels between supermarkets and mobile phones in shaping consumer choices, digital ultra-processed products, behavioral design, and attention economy.
Historical analysis of how artificial intelligence-driven automation threatens the legitimacy and social contract of global capitalism, risking structural collapse.
An in-depth analysis of how artificial intelligence accelerates wealth concentration, renders middle-class labor redundant, and signals capitalism’s terminal stage.
Explores how artificial intelligence is reshaping capitalism by automating cognition, transforming work structures, centralizing power, and redefining human value.
