AI companies defy old categories. They raise growth-stage capital while pre-revenue (like venture) and serve as both foundational platforms (infrastructure) and direct-to-user products (apps). This blurring of lines demands a new, hybrid approach from investors and founders.

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 next evolution of AI startup platforms like Polsia is not to be a simple tool, but a complete economy. By creating integrated layers for entrepreneurs, investors, and marketplaces for customers, these platforms build powerful, defensible network effects and liquidity.

As AI enables founders to build products in a week for under $500, the need for traditional seed capital for engineering will diminish. The bottleneck—and therefore the need for capital—will shift to winning the intense battle for user attention. VCs will fund marketing war chests instead of just development.

The strategy of acquiring incumbent companies to accelerate AI adoption is creating a new investment category. Unlike private equity, which optimizes existing assets for efficiency, this new class focuses on fundamentally transforming them into something entirely new.

Audos founder Henrik Werdelin coined "Donkey Corns" to describe a new class of solo entrepreneurs building million-dollar businesses. The goal is a sustainable, highly profitable lifestyle business, democratizing wealth creation beyond the traditional venture-backed unicorn path.

AI will decentralize entrepreneurship by enabling solo founders to build software for niche markets. These small markets, often dismissed by VCs, can support highly profitable lifestyle businesses for individuals, creating a new wave of company creation outside the traditional Silicon Valley model.

Traditionally, service businesses lack scalability for VC. But AI startups are adopting a 'manual first, automate later' approach. They deliver high-touch services to gain traction, while simultaneously building AI to automate 90%+ of the work, eventually achieving software-like margins and growth.