Tech giants like Meta aggressively bidding on AI talent has created a wealth event for 50-200 top researchers, similar to a collective IPO. This enriches them as a class, not just as employees of a single company, altering their career trajectories and focus.

The constant fighting and pettiness displayed by figures like Elon Musk and Sam Altman show that immense wealth doesn't bring happiness or maturity. Their behavior suggests they lack the character and stability to be trusted stewards of transformative technologies like AGI.

AI is driving the stock market to new highs, increasing the wealth of those invested. Simultaneously, the fear of AI-driven job displacement is a major factor depressing consumer sentiment. This creates a unique situation where the same technology simultaneously enriches and frightens different segments of the population, or even the same individuals.

The current AI investment frenzy will create a paradox: significant layoffs as companies use AI to become more efficient, coupled with immense wealth concentration. This will create a class of "haves and have-nots" and set the stage for major antitrust battles against newly public AI giants by 2027-2028.

Assuming AI's productivity gains create an economic safety net for displaced workers, the true challenge becomes existential. The most difficult problem to solve is how society helps individuals derive meaning and purpose when their traditional roles are automated.

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.

As OpenAI and Anthropic gear up to go public, the pressure to generate profit is mounting. This shift from pure research to building ad-driven, commercial products creates a culture clash, causing disillusioned engineers who joined for loftier goals to quit.

For elite AI researchers who are already wealthy, extravagant salaries are less compelling than a company's mission. Many job changes are driven by misalignments in values or a lack of faith in leadership, not by higher paychecks.

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.