Are we living in the End Times? With Naomi Klein and Astra Taylor – Stateside with Kai and Carter

In a new book, writers Naomi Klein and Astra Taylor have created a term to define the era we are living in: End Times Fascism. A response to the climate crisis, the rise of the far-right and advancing AI technology, they spell out how the damage being wrought by the super-rich is becoming normalized. Klein and Taylor join Carter Sherman to talk about the recent events that have made us all feel like we’re hurtling towards the apocalypse, and how we can fight back through ‘hereness’. End Times Fascism And The Fight For The Living World is out now. Continue reading...

No direct claim about AI's effect on society.

The discussion links AI advancement with dangerous societal trends such as climate crisis, far-right rise, and elite normalization of damage, suggesting a concerning negative impact on human flourishing. However, the evidence is framed in terms of a book's thematic argument rather than direct empirical proof, which tempers confidence and magnitude.

This is a podcast promotion for a book pairing AI with climate crisis and far-right politics as part of a broader societal decline narrative. It makes no specific, checkable claim about AI's mechanisms or effects, relying on rhetorical framing rather than evidence. The implication is negative but diffuse and speculative.

The article introduces a book that claims we are living in an era defined by 'End Times Fascism,' driven in part by advancing AI technology. This framework suggests that AI is contributing to societal damage wrought by the super-rich, leading humanity towards an 'apocalypse.' The framing is highly dystopian.

The article discusses a book that links AI advancement to a dystopian scenario. It speculates on societal impacts without concrete evidence.

SOURCE     The Guardian: Artificial Intelligence (tier 1)
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DOCUMENT   a1d8b21a-f251-4164-b74c-c38ff2751484
           https://theguardian.com/us-news/video/2026/sep/17/naomi-klein-astra-taylor-podcast
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EVIDENCE   1 extracted excerpt
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MODEL RUN  5 runs, methodology 1.0.1
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SCORE      -49  (Adverse)
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CONFIDENCE 53%