History shows that transformative technologies like aviation created immense societal value without concentrating wealth in a few companies. AI could follow this path, with its benefits being widely distributed through commoditization, challenging the multi-trillion dollar valuations of today's leading firms.

As powerful AI models become capable of running offline on local devices, they challenge the centralized, platform-based model of companies like Google and Facebook. This shift towards decentralized intelligence could fundamentally disrupt the digital economy by removing the need for gatekeepers.

A major shift is coming where company-specific Small Language Models (SLMs) will run relentlessly and recursively on powerful local hardware. This creates a new paradigm of free, constantly improving, and privately-owned corporate intelligence.

The democratization of technology via AI shifts the entrepreneurial goalpost. Instead of focusing on creating a handful of billion-dollar "unicorns," the more impactful ambition is to empower millions of people to each build a million-dollar "donkey corn" business, truly broadening economic opportunity.

The primary beneficiaries of AI-driven productivity are individuals, not large corporations. An entrepreneur can spend a few thousand dollars on LLMs and hardware to outperform entire teams. Enterprises face a negative 'labor arbitrage' as they must fire costly employees to see similar gains, slowing their adoption.

While AI will create corporate titans, it will also enable a long tail of individual "vibe coders" to build and monetize niche apps for small audiences. This creates a new class of "hyper micro wealth," potentially forming a new, decentralized middle class.

Fears of AI power consolidating among a few giants like Google and Nvidia mirror past concerns about companies like Cisco controlling the internet. History shows that all transformative technologies eventually commoditize and diffuse, moving from centralized control to broad, democratized access at the edge.

AI's rapid evolution makes it a risky investment for large companies that can be quickly outmaneuvered. This same volatility creates massive opportunities for nimble individuals without legacy systems or large investments to protect, effectively leveling the playing field for the underdog.

Instead of relying on expensive cloud models, startups will increasingly use powerful local workstations to run open-source models. This provides data privacy, eliminates token costs, and avoids platform competition, signaling a renaissance for powerful desktop computers in the developer community.