The wealth gap between asset owners and wage earners, once seen as a temporary economic trend, is solidifying into a permanent societal structure due to AI. This shift makes upward mobility nearly impossible for the 90% of people who do not own a diversified portfolio of assets.

AI is driving a K-shaped economy. At the macro level, the AI sector booms while others decline. At the corporate level, AI stocks soar past others. At the individual level, a skills gap is widening between those who can leverage AI and those who can't.

AI is not a great equalizer; it's a productivity multiplier for those who are already highly skilled. A top-tier engineer or writer can double or triple their output, while an average performer sees smaller gains. This dynamic is set to exacerbate the K-shaped economy, making the rich richer and the poor comparatively poorer.

The widespread fear of AI is not about the technology itself but is a symptom of extreme wealth inequality. With opportunity already hoarded by the wealthy, the median person feels vulnerable to any disruption. The AI panic is thus the latest expression of a society where economic dignity is already eroded.

Despite immense wealth creation for a select group at top AI firms, the industry is experiencing a deep malaise. Job insecurity for those outside the winner's circle and a sudden lack of purpose for the newly rich contribute to a dreary, frenetic atmosphere where even the winners aren't happy.

The AI revolution will likely bifurcate the job market into a barbell shape. A 'productive class' will master AI and remain economically viable, while an 'unproductive or charity class' will be forced out of the system. This economic displacement will likely fuel anger, resentment, and social violence.

A pervasive anxiety is growing in the tech world: the current AI boom might be the final opportunity to amass significant wealth before AI automates value creation, making money effectively worthless. This FOMO is driving a frenzy to get on the "right side" of the AI divide, fearing a future with a permanent, ultra-wealthy tech class.

Experience alone no longer determines engineering productivity. An engineer's value is now a function of their experience plus their fluency with AI tools. Experienced coders who haven't adapted are now less valuable than AI-native recent graduates, who are in high demand.

AI is exacerbating labor inequality. While the top 1% of highly-skilled workers have more opportunity than ever, the other 99% face a grim reality of competing against both elite talent and increasingly capable AI, leading to career instability.