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Why public opinion turned on AI | The Gray Area

Vox | July 17, 2026



AI was supposed to make our lives better. Instead, itโ€™s made many of us scared and angry. Communities are protesting data centers across the country, and polling shows most Americans think AI is moving too fast.

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In today’s episode, guest host Miles Bryan talks with independent journalist Jasmine Sun, who argues that public attitudes toward AI are undergoing a fundamental shift. Jasmine argues that AI is seen not simply as a technology to adopt, but as an elite political project to resist. The two discuss โ€œAI populism,โ€ the parallels with the Industrial Revolution, how public opinion about AI may affect US politics, and how the leaders of Silicon Valley are unprepared for the growing backlash against AI.

Guest Host: Miles Bryan, Vox reporter and senior producer
Guest:Jasmine Sun, journalist

Find Jasmineโ€™s Substack here: https://jasmi.news/

00:00 Intro
02:33 What is AI populism?
05:29 Why people are protesting data centers
09:11 Incidents of violence
12:11 What industrial revolution can teach us
22:14 Why people are anxious about AI
29:04 Social contracts in the AI era
34:41 Chinaโ€™s approach to AI
40:12 AI populism and American politics

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Written by Vox

Comments

This post currently has 17 comments.

  1. @alanl9497

    July 17, 2026 at 6:32 pm

    Honestly just get rid of the following features for AI: create videos, diagrams, pictures, coding projects, video games, etc. The public should only have access to an โ€œintelligent encyclopediaโ€. Thatโ€™s it..

  2. @Squee4thewin

    July 17, 2026 at 6:32 pm

    The most revealing thing in this conversation is that it names concentrated wealth, labour displacement, private ownership, public subsidy, weakened unions, democratic powerlessness and a โ€œpermanent underclass,โ€ but somehow never names capitalism.

    That omission matters.

    AI isnโ€™t independently deciding to weaken workers and enrich owners. Capitalism is deciding how AI gets built, who controls the infrastructure, which jobs get automated, who absorbs the costs and who captures the gains.

    The data centre fight makes that visible. Communities are expected to provide land, water, electricity, tax breaks and grid capacity so private firms can build systems designed to reduce labour costs and consolidate market power. When people object, their resistance gets packaged as โ€œAI populism,โ€ as though the public reaction is the strange phenomenon rather than the industrial project being imposed on them.

    The โ€œpermanent underclassโ€ discussion should have forced the ownership question. If a small class owns the models, compute, energy contracts, platforms and robotics, then mass automation doesnโ€™t create abundance for everyone. It creates abundance for owners and dependency for everyone else.

    UBI may soften that outcome, but it can also become hush money. A population stripped of bargaining power gets a stipend while the productive system remains privately owned.

    The China comparison doesnโ€™t escape the problem. China has a state-directed form of capitalism. It can coordinate infrastructure more effectively and force firms to serve national strategy, but workers still donโ€™t democratically control production. The difference is who disciplines capital, not whether ordinary people own the future being built.

    The real political divide shouldnโ€™t be pro-AI versus anti-AI.

    It should be:

    Who owns machine intelligence?

    Who decides what itโ€™s for?

    Who gets the productivity gains?

    Who has the power to refuse its deployment?

    As long as capitalism defines the horizon, every proposed โ€œsocial contractโ€ begins after ownership has already been settled.

    Thatโ€™s the trap.

    Everyone is debating how society should adapt to privately owned intelligence when the prior question is why intelligence built from public research, collective knowledge and humanityโ€™s accumulated culture should be privately owned at all.

  3. @jimbo-dev

    July 17, 2026 at 6:32 pm

    I was like oh, interesting video but at 7:30 I had to stop. No they will not launch huge amount of AI datacenters to space. Space launches are incredibly expensive per weight, the AI hardware becomes outdated in few years and space is incredibly hostile environment for computer hardware. How is anyone going to maintain the hardware, replace failed components, opgrade the parts when they become outdated in few years. New space launches are also very expensive, so no, thereโ€™s no way thatโ€™s going to really happen outside of few publicity stunts.

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