Despite broad, bipartisan public opposition to AI due to fears of job loss and misinformation, corporations and investors are rushing to adopt it. This push is not fueled by consumer demand but by a 'FOMO-driven gold rush' for profits, creating a dangerous disconnect between the technology's backers and the society it impacts.

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A rapid, significant (e.g., 5%) spike in unemployment over a short period (e.g., 6 months) due to AI would trigger an immediate and massive political and economic response. This would be comparable in speed and scale to the multi-trillion dollar stimulus packages passed during the COVID-19 pandemic.

Companies feel immense pressure to integrate AI to stay competitive, leading to massive spending. However, this rush means they lack the infrastructure to measure ROI, creating a paradox of anxious investment without clear proof of value.

Unlike previous tech waves that trickled down from large institutions, AI adoption is inverted. Individuals are the fastest adopters, followed by small businesses, with large corporations and governments lagging. This reverses the traditional power dynamic of technology access and creates new market opportunities.

The rare agreement between libertarian billionaire Elon Musk and socialist senator Bernie Sanders on AI's threat to jobs is a significant indicator. This consensus from the political fringe suggests the issue's gravity is being underestimated by mainstream policymakers and is a sign of a profound, undeniable shift.

History shows that transformative innovations like airlines, vaccines, and PCs, while beneficial to society, often fail to create sustained, concentrated shareholder value as they become commoditized. This suggests the massive valuations in AI may be misplaced, with the technology's benefits accruing more to users than investors in the long run.

New technologies perceived as job-destroying, like AI, face significant public and regulatory risk. A powerful defense is to make the general public owners of the technology. When people have a financial stake in a technology's success, they are far more likely to defend it than fight against it.

Many top AI CEOs openly admit the extinction-level risks of their work, with some estimating a 25% chance. However, they feel powerless to stop the race. If a CEO paused for safety, investors would simply replace them with someone willing to push forward, creating a systemic trap where everyone sees the danger but no one can afford to hit the brakes.

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.

Influencers from opposite ends of the political spectrum are finding common ground in their warnings about AI's potential to destroy jobs and creative fields. This unusual consensus suggests AI is becoming a powerful, non-traditional wedge issue that could reshape political alliances and public discourse.

The enormous market caps of leading AI companies can only be justified by finding trillions of dollars in efficiencies. This translates directly into a required labor destruction of roughly 10 million jobs, or 12.5% of the vulnerable workforce, suggesting market turmoil or mass unemployment is inevitable.