The narrative that a few large companies will capture all the value from AI is wrong. Open-weight models are democratizing access to powerful AI. This will enable an entrepreneur with zero net worth today to download free tools and build a billion-dollar company, bypassing the gatekeepers.

In its largest user study, OpenAI's research team frames AI not just as a product but as a fundamental utility, stating its belief that "access to AI should be treated as a basic right." This perspective signals a long-term ambition for AI to become as integral to society as electricity or internet access.

Contrary to the narrative that AI concentrates power, it acts as a 'great equalizer' by commodifying intelligence. This gives individuals and small businesses access to a powerful tool, enabling them to build solutions and compete with large, entrenched organizations they otherwise couldn't challenge.

Zack Kass's central thesis is that AI will make intelligence so cheap and widespread that it becomes a utility, like electricity. This shift from scarcity to abundance will democratize capability and redefine individual potential, much like the printing press democratized information.

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.

For the first time, a disruptive technology's most advanced capabilities are available to the public from day one via consumer apps. An individual with a smartphone has access to the same state-of-the-art AI as a top VC or Fortune 500 CEO, making it the most democratic technology in history.

AI capabilities will eventually run locally on cheap hardware, similar to how smartphones democratized powerful computing. Individuals will own their AIs without paying rent to large cloud providers. This decentralization will empower individuals over corporations.

While cutting-edge AI is extremely expensive, its cost drops dramatically fast. A reasoning benchmark that cost OpenAI $4,500 per question in late 2024 cost only $11 a year later. This steep deflation curve means even the most advanced capabilities quickly become accessible to the mass market.

Contrary to commoditization fears, the rise of powerful open-source AI models actually enhances the value of leading frontier models. The most advanced models become 'orchestrators,' leveraging armies of cheaper, specialized AIs, making their superior intelligence even more valuable for complex tasks.