Investors are increasingly cautious regarding certain AI startups, with a clear shift in interest towards companies that offer AI-native infrastructure, proprietary data, and substantial product depth. The trend has emerged as many firms are rebranding under the AI banner, yet not all are attracting funding. According to Aaron Holiday of 645 Ventures, popular categories now include vertical SaaS that integrates deeply into essential workflows.
Conversely, startups that provide generic tools, superficial analytics, or thin workflow layers are finding themselves overlooked. Abdul Abdirahman from F Prime emphasized that software lacking proprietary data moats is falling out of favor. Igor Ryabenky from AltaIR Capital noted that differentiation must extend beyond user interface and automation, as barriers to entry have diminished significantly.
Companies must focus on real workflow ownership and a comprehensive understanding of user needs from the outset. Speed, adaptability, and flexible pricing structures are becoming vital in this evolving landscape, with traditional rigid per-seat models facing challenges. At the upcoming TechCrunch event in San Francisco from October 13-15, 2026, industry leaders will discuss these trends further.