Unlike previous tech waves that trickled down from large institutions, AI adoption is inverted. Individuals are the fastest adopters, followed by small businesses, with large corporations and governments lagging. This reverses the traditional power dynamic of technology access and creates new market opportunities.

Low-cost AI tools create a new paradigm for entrepreneurship. Instead of the traditional "supervised learning" model where VCs provide a playbook, we see a "reinforcement learning" approach. Countless solo founders act as "agents," rapidly testing ideas without capital, allowing the market to reward what works and disrupting the VC value proposition.

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 new wave of entrepreneurship isn't about scaling large companies. It's about solopreneurs acting as "gig entrepreneurs" who master and customize a suite of AI tools to deliver bespoke, high-value outcomes for clients, effectively replacing the work of entire small agencies.

Unlike previous top-down technology waves (e.g., mainframes), AI is being adopted bottom-up. Individuals and small businesses are the first adopters, while large companies and governments lag due to bureaucracy. This gives a massive speed advantage to smaller, more agile players.

As AI automates jobs, widespread unemployment will compel individuals to start their own small businesses to survive. This shift marks a return to self-reliance and entrepreneurship driven by necessity rather than ambition, echoing a past economic structure.

Monologue's success, built by a single developer with less than $20,000 invested, highlights how AI tools have reset the startup playing field. This lean approach enabled rapid development and achieved product-market fit where heavily funded competitors have struggled, proving capital is no longer the primary moat.

The idea of a solo founder running a billion-dollar company is more a marketing gimmick than a future reality. While technologically feasible with AI, individuals won't want to handle all the associated operational burdens like bookkeeping and taxes. The logical endpoint of AI automation isn't a one-person company, but a zero-person, fully automated business.

The barrier to entry for entrepreneurship has collapsed. Anyone, regardless of technical skill or capital, can now use tools like ChatGPT and Replit to create a formal business plan and a functional app, effectively democratizing innovation.