The Death of ‘Zero to One’: Is AI Killing Classic Startup Theory?

Classic Silicon Valley startup theory, centered on the 'zero to one' model of value extraction and monopoly creation, is being replaced by the 'Post Web' era, driven by autonomous AI agents. Research from Outlier Ventures suggests this shift necessitates a new model, 'Zero to Many,' where success depends on enabling machines to transact fluidly across decentralized ecosystems. This transformation is marked by a move from User Experience (UX) to Agent Experience (AX), meaning products must be built for seamless machine integration via APIs, prioritizing verifiable proof over brand reputation. Traditional moats based on user lock-in are dissolving because agents can switch services instantly, making continuous, real-time performance the only true moat, accelerated by AI's ability to compress build times and DLT's ability to coordinate capital. Furthermore, the marketing funnel collapses as agents replace human engagement, shifting the economy from attention to intention, where monetization relies on successful outcomes, not screen time. Crypto infrastructure (DLT, tokens) is crucial as it provides the necessary trustless coordination and verifiability that agents require to operate safely at scale. Ultimately, founders must transition from building centralized 'startups' to creating modular, self-optimizing, machine-first 'systems.'

(Source：BeInCrypto)