For the past 18 months, AI excitement has created a rising tide that boosted fortunes for all major tech companies. This is changing. In the next year, their strategic bets, investments, and results will diverge dramatically, revealing clear winners and losers as "the tide goes out for some people."

Similar to the dot-com era, the current AI investment cycle is expected to produce a high number of company failures alongside a few generational winners that create more value than ever before in venture capital history.

A subculture of AI professionals believes the technology will so radically reshape society (e.g., a post-scarcity economy) that traditional financial planning like 401(k)s is futile. This reflects an extreme, bubble-like conviction within the industry's core.

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.

Debates about AI and inequality often assume today's financial institutions will persist. However, in a fast takeoff scenario with superintelligence, concepts like property rights and stock certificates might become meaningless as new, unimaginable economic and political systems emerge.

The current AI investment surge is a dangerous "resource grab" phase, not a typical bubble. Companies are desperately securing scarce resources—power, chips, and top scientists—driven by existential fear of being left behind. This isn't a normal CapEx cycle; the spending is almost guaranteed until a dead-end is proven.

While AI will eliminate jobs, it simultaneously creates the largest financial opportunity for the under-25 generation in history, bigger than the internet. It is a tidal wave that young, adaptable individuals are best positioned to ride, while older professionals may struggle to pivot.

The current AI investment frenzy is a powerful feedback loop. Silicon Valley labs promote a grand narrative to justify huge capital needs. Simultaneously, Wall Street firms earn massive fees by financing this buildout, creating a shared, bi-coastal incentive to keep the 'super cycle' narrative going, independent of immediate profitability.

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.