Hard Fork
A.I. Backlash Turns Violent + Kara Swisher on Healthmaxxing + The Zuck Bot Is Coming
with Kevin Roose and Casey Newton
17 Apr 2026
17 min read
1h 12m
TL;DR
AI backlash has turned violent and political, driven by economic anxiety and public distrust in unelected tech leaders making top-down decisions. The industry's contradictory messaging—warning of existential risk while fighting regulation—has eroded legitimacy, and local opposition to data centers reflects voters' preference for stability over disruption. Real solutions require government action on social safety nets and labor retraining, not corporate white papers.
Hard Fork is the New York Times' podcast about the internet and the future, hosted by tech columnist Kevin Roose and Platformer's Casey Newton. This episode examines the growing backlash against AI—from violent attacks on executives to community opposition to data centers—and explores whether the industry can build public trust. The hosts also sit down with legendary tech journalist Kara Swisher about her new CNN docuseries on longevity hacking in Silicon Valley.
Takeaways
1
AI violence reflects economic anxiety, not just rhetoric The attempted attacks on Sam Altman and the Indianapolis councilman reveal that anti-AI sentiment stems primarily from job displacement fears and loss of control over one's future—not from journalists or abstract doomerism. This anger manifests when people see unelected tech leaders deploying transformative technology without meaningful public input or a social safety net plan.
2
Data center NIMBYism is local control's last lever Communities blocking data centers aren't solved by better messaging; they're expressing the only real power they have over a top-down tech project. This reflects a deeper democratic deficit: most Americans feel they have no meaningful voice in AI deployment decisions, making local "no" votes the only available tool for resistance.
3
Companies' contradictory stances undermine credibility OpenAI simultaneously publishes white papers calling for wealth redistribution and massive social safety nets while lobbying against transparency regulations and backing Republican candidates opposed to welfare expansion. This gap between stated concerns and political actions signals to the public that the industry is not serious about managing AI's social impact, further eroding trust.