Why AI Has Killed the Proprietary Tech Moat

In 2025, U.S. venture investors deployed $320 billion across 15,352 deals, with AI companies capturing 65.4% of that value. Yet, the same technology driving these investments has simultaneously commoditized software development. Tools like Claude Code and Lovable allow non-technical founders to build functional platforms in a single weekend, stripping away the defensive value of proprietary technology. According to Murtza, the assumption that a product can protect a startup from competition is a relic of a pre-AI era.

This shift forces a radical reassessment of how firms evaluate early-stage companies. For consumer startups, where deal flow has remained thin, the new competitive advantage is not the code itself but the founder’s ability to command attention. Murtza advocates for a model where VC firms prioritize creators and influencers who possess direct lines to their markets. He describes his own role at Grey Sheep Ventures less as a traditional financier and more as an extension of the startup team, providing the distribution and networking muscle that capital alone cannot buy.

Bridging the gap between legacy investment strategies and the modern creator economy remains a primary hurdle. Many established funds continue to rely on outdated metrics, failing to recognize that decision-making authority must shift toward a younger generation of investors who understand conversion-driven content. For Murtza, the ultimate moat is no longer a patent or a complex backend; it is the authenticity and depth of the relationship between the investor and a founder who is capable of turning audience trust into a durable business.