AI companies don’t follow old growth rules. Instead, they run on constant change, fast shipping, and founder-led influence.
Traditional growth playbooks no longer work for AI-native companies. This article explains why growth in AI is different and what teams need to do to keep pace.
In most tech companies, growth becomes predictable after hitting product-market fit. But in AI, product-market fit is never locked in. Customer expectations, LLM capabilities, and competitor offerings shift so fast that teams must constantly re-earn it. This means growth operators spend less time optimizing funnels and more time building big new features and loops that help the product stay relevant.
Unlike traditional SaaS, where growth teams had lots of surface area for onboarding, AI products often have just one key entry point: the prompt box. Activation lives or dies in that first user interaction, leaving growth to focus on education, imagination, and new growth levers rather than step-by-step onboarding.
Marketing also faces a big shake-up. The classic SEO-plus-paid-playbook collapsed under the weight of the creator economy. Attention is now on YouTube, TikTok, LinkedIn, and founder-led content. Meanwhile, the pace of shipping AI features leaves marketing scrambling to keep up, forcing brand and messaging to live inside the product experience itself. Growth teams now build features directly, embed virality into products, and lean heavily on loops and referrals as paid channels become unstable.