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Just as the Hugging Face hack made AI security risks tangible, a similar watershed event for employment is predicted before year-end. A specific development, likely enabled by models like Astra, will make the threat of job displacement undeniable to the public.

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Drawing on Cory Doctorow's insight, the immediate risk for workers isn't being replaced by a competent AI, but by an incompetent one. AI only needs to be good enough to convince a manager to fire a human, leading to a lose-lose situation of job loss and declining work quality.

Unlike past technological shifts, leading AI labs are focused on automating their own research first to accelerate progress. This means mass job displacement in the broader economy will happen suddenly in a wave, not gradually, after this internal goal is achieved.

The rapid displacement of jobs by AI will cause suffering beyond finances. It will trigger a profound crisis of meaning and identity for millions whose sense of self is tied to their profession, creating emotional distress and potential societal unrest.

Public economic anxiety isn't irrational; it's a direct response to messaging from AI leaders like Sam Altman. Their business model, and the justification for their valuations, is predicated on capturing the economic value of human labor, a fact the public has correctly understood and now fears.

AI's impact on labor will likely follow a deceptive curve: an initial boost in productivity as it augments human workers, followed by a crash as it masters their domains and replaces them entirely. This creates a false sense of security, delaying necessary policy responses.

The host reveals that GPT-6 Astra is the first model release to inspire dread over excitement. This shift is due to the model's job-replacing capabilities being marketed as a feature, highlighting a growing disconnect between Silicon Valley's vision and broader societal fears.

A major political crisis over AI and jobs doesn't require high national unemployment. All it takes is a rapid, concentrated wave of job losses in a single, visible industry or geographic area. This creates a potent media narrative that can trigger widespread panic and political action.

Experts believe AI will create long-term prosperity, like past tech shifts. However, the unprecedented speed of this change could cause massive short-term unemployment before new roles and economic structures can emerge, posing a unique transitional threat.

Uber's CEO revealed executives privately admit AI could replace 70-80% of human work but publicly state everything will be fine. This rare candor signals a potential shift in the public discourse about AI's true societal impact.

The dominant fear is an AI investment bubble bursting. However, Andrew Ross Sorkin argues the greater risk is AI *working too well*, causing widespread job displacement and leading to a 1932-style depression with 25% unemployment, disrupting the entire economic structure.

An Imminent 'Hugging Face Moment for Jobs' Will Make AI's Economic Threat Viscerally Real | RiffOn