Since taxing profitless AI companies is impossible, a new system is needed. Instead of redistribution, money creation itself must be re-engineered. Capital could be generated and injected directly to individuals for simply existing and participating in the economy, fundamentally changing how money enters circulation.
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.
Following Amazon's model, AI-native companies will reinvest all available cash into acquiring more compute power for a competitive edge. They will operate in a perpetual land-grab mode and never need to show a profit, making them impossible to tax effectively and rendering corporate taxation an obsolete funding mechanism for the state.
In an unpredictable AI-driven job market, the most reliable path to financial security is not a specific skill but owning assets. This allows individuals to participate in the massive wealth generated by the technology itself, providing a hedge against inflation and potential job displacement, and avoiding a future of dependency on government assistance.
The most profound innovations in history, like vaccines, PCs, and air travel, distributed value broadly to society rather than being captured by a few corporations. AI could follow this pattern, benefiting the public more than a handful of tech giants, especially with geopolitical pressures forcing commoditization.
Coinbase is funding a UBI experiment giving New Yorkers crypto. This is a strategic play, not just charity. It aims to prove crypto's efficiency as a distribution mechanism for government welfare, positioning it to become the foundational infrastructure for future social programs and driving mass adoption.
Political demands that new technology must benefit the specific workers it replaces are fundamentally flawed. This logic ignores progress. The goal shouldn't be to preserve obsolete jobs but to ensure technology benefits civilization as a whole by creating abundance while managing the difficult labor transition.
Providing every American with a poverty-level UBI of $16,000 would cost $5 trillion annually. This figure exceeds the entire US federal tax base of approximately $4.9 trillion. This simple calculation demonstrates that funding UBI through traditional taxation is not a viable solution for AI-driven job displacement.
Financial support (UBI) is insufficient for a thriving populace. The real safety net in an AI-driven world is a 'Universal Basic AI'—a personal, sovereign AI agent that acts in the user's best interest. This provides capability and access to resources, ensuring individuals are empowered, not just subsidized.
For AI agents to be truly autonomous and valuable, they must participate in the economy. Traditional finance is built for humans. Crypto provides the missing infrastructure: internet-native money, a way for AI to have a verifiable identity, and a trustless system for proving provenance, making it the essential economic network for AI.
Giving people a basic stipend won't end economic competition. Instead, it will fuel a secondary economy where people compete for each other's stipends through new forms of gambling, entertainment, entrepreneurship, and status games.