Startups built as simple wrappers around major AI models are running out of road, according to Darren Mowry, who leads global startups across Cloud, DeepMind, and Alphabet at Google. Speaking on the Equity podcast, Mowry said companies that merely layer a user interface on top of models like GPT, Claude, or Gemini without meaningful differentiation are struggling to maintain momentum.

He argued that startups need defensible “moats” — either horizontal advantages or deep vertical specialization — to survive. While examples like Cursor and Harvey AI show that strong vertical execution can work, simply white-labeling a large language model is no longer enough. As foundational model providers expand their own capabilities, thin intellectual property and surface-level UX tweaks are failing to impress investors and customers alike.