Introduction

Artificial intelligence has become a baseline expectation for modern businesses, but widespread access alone doesn't guarantee a competitive edge. The real differentiator for founders today is what they own and control around AI—from proprietary data to specialized workflows that competitors cannot easily replicate.

What Happened

In 2025, 58% of small businesses reported using generative AI, up from 40% in 2024 and just 23% in 2023. A discussion among nonprofit and venture leaders, including Michele Jawando of Omidyar Network, Allison Scott of Kapor Foundation, and Katy Knight of the Siegel Family Endowment, emphasized that the next divide in the AI boom is not about who uses the technology, but who owns the value it creates. Among businesses already using AI, 85% reported increased sales, 84% saw higher profits, and 82% expanded their workforce compared to the prior year.

Why This Matters

When the same tools are available to everyone, the advantage shifts to those who build on top. Founders who transform AI into proprietary customer data, industry-specific processes, or a combination of domain expertise and automation create moats that are difficult to copy. Venture capital data underscores the stakes: in 2025, AI companies captured $222 billion of the $320 billion total venture deal value, representing 65.4% of invested capital despite accounting for only 39.4% of deal count; structural gaps persist; startups with Black founders received just 0.32% of U.S. venture funding in 2025, and academic research shows Black-owned startups raise roughly half as much as their peers. Ownership of data, capital, and decision-making power becomes the true measure of competitive advantage.

Key Takeaways

  • AI adoption is no longer a differentiator; ownership of AI-enabled value is the new frontier for startup defensibility.
  • Founders should prioritize building proprietary data sets, specialized workflows, or expert-AI hybrids that competitors cannot easily duplicate.
  • The next phase of the AI revolution is defined by who controls the technology, not just who consumes it.
  • Capital should be deployed with clear milestones in mind; funding that doesn't directly connect to value creation may simply dilute equity without delivering proportional returns.
  • Equity gaps in venture funding remain significant, and intentional ownership structures can help address blind spots and expand access.

Conclusion

The first wave of generative AI was about access. The second is about advantages. The third will be about ownership. Entrepreneurs who treat AI as a foundation for proprietary assets—rather than just a time-saving tool—will shape the next generation of sustainable, defensible companies. The question every founder should ask: what does my company own that becomes more valuable because of AI?