AI Startups Keep Dying For The Same Reason
Most AI startups fail for the same reason, and it has nothing to do with the model. Founders ship a thin wrapper over someone else's API, the API owner ships the same feature, and the moat is gone in a week. We break down why GPT wrappers struggle to defend a market, what a real AI product moat looks like (proprietary data, distribution, workflow lock-in), and the few startups getting it right. If you're building on top of GPT or Claude, this is the trap to design around before you raise a round. For founders and builders deciding what is worth building in AI right now. #AIStartups #Startups #AI Chapters: 0:00 Intro 0:15 The pattern 1:11 Sherlocked 2:25 Jasper 3:35 The margin trap 4:42 What actually survives 6:28 The verdict Tools & resources mentioned: - CB Insights: https://www.cbinsights.com - Bessemer Venture Partners State of AI 2025: https://www.bvp.com/atlas/state-of-the-cloud-2025 - killedbyai (GitHub): https://github.com/killedbyai/killedbyai - Builder.ai - Jasper AI: https://www.jasper.ai - ChatPDF: https://www.chatpdf.com - PDF.ai: https://pdf.ai - AskYourPDF: https://askyourpdf.com About The Stack The Stack is a channel for people building with AI. Every video is a short, illustrated breakdown of the tools, models, and patterns that actually ship: Claude Code and AI coding tools, AI agents and orchestration, open-source AI tools and repos worth knowing, RAG and vector search, local and open-weight LLMs, and the model and cost calls that matter. Opinionated, evidence-led, no fluff. New breakdowns regularly. Subscribe so you catch them: https://www.youtube.com/@The-Stack-ai?sub_confirmation=1 #aistartups #llmstrategy #aiproduct #founderstrategy #saas
