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Taylor Lorenz argues that much of the left's critique of technology, particularly AI, is regressive, advocating for moratoriums without a plan for what comes next. She contrasts this with China's tech-forward approach and suggests the left's "go back" mentality inadvertently aligns with far-right, anti-progress ideologies.
Bernie Sanders' call for a moratorium on AI data centers, aimed at curbing billionaire power and job loss, is viewed as a strategic blunder. Critics argue it would unilaterally halt U.S. progress, effectively handing AI leadership to China, which would continue its development unabated.
Public and expert opinions on AI are split between two extremes: it will either save humanity or destroy it. There is a notable absence of a moderate, middle-ground perspective, which is a departure from how previous technological shifts like the internet were discussed.
The traditional left vs. right political divide will be superseded by a new conflict. The defining battle will be between "accelerationists," who want to embrace technology's superpowers, and "decelerationists," who fear its societal consequences like job loss and existential risk.
Taylor Lorenz posits that widespread anti-AI sentiment is a proxy for public frustration with Big Tech's influence. People feel powerless against tech conglomerates, and this anger is now being directed at AI, the latest major technological shift, rather than the underlying corporate structures.
Chinese policymakers champion AI as a key driver of economic productivity but appear to be underestimating its potential for social upheaval. There is little indication they are planning for the mass displacement of the gig economy workforce, who will be the first casualties of automation. This focus on technological gains over social safety nets creates a significant future political risk.
The growing, bipartisan backlash against AI could lead to a future where, like nuclear power, the technology is regulated out of widespread use due to public fear. This historical parallel warns that societal adoption is not inevitable and can halt even the most powerful technological advancements, preventing their full economic benefits from being realized.
The political left requires a central catastrophe narrative to justify its agenda of economic regulation and information control. As the "climate doomerism" narrative loses potency, "AI doomerism" is emerging as its successor—a new, powerful rationale for centralizing power over the tech industry.
Political demands that new technology must benefit the specific workers it replaces are fundamentally flawed. This logic ignores progress. The goal shouldn't be to preserve obsolete jobs but to ensure technology benefits civilization as a whole by creating abundance while managing the difficult labor transition.
China's approach to AI isn't about utopian visions but a pragmatic race for survival. The culture, shaped by a political environment discouraging resistance, views AI adoption as an unstoppable force that individuals and companies must embrace or be left behind.
Public backlash against AI isn't a "horseshoe" phenomenon of political extremes. It's a broad consensus spanning from progressives like Ryan Grimm to establishment conservatives like Tim Miller, indicating a deep, mainstream concern about the technology's direction and lack of democratic control.