Eli Pariser: how AI is transforming news consumption and the morning routine

Eli Pariser, co-executive director of New_Public and the creator of the "filter bubble" concept, outlined the main findings of his new report on the Mixed Signals podcast about how news consumption changes when artificial intelligence takes over content delivery. In response to questions from Max Tani and Ben Smith, Pariser argues that AI can quickly affect daily routines, especially morning news reading and access to news; he also discussed which platforms may be most exposed to AI-driven disruption and the risks of attention centralization. Pariser says earlier algorithmic centralization contributed to the formation of filter bubbles, and AI could bring further structural changes. The report examines not only technological effects but also social and business consequences, such as reduced news diversity and altered platform competition. The conversation emphasizes the roles of regulation, transparency, and user control in shaping the transition; Pariser's message is that change is inevitable, but the outcome depends on how we shape AI use in the coming months and years.