AI Era Demands an End to Per-Seat Software Pricing
Traditional per-seat pricing models actively harm AI software by discouraging the usage needed to train and improve dynamic algorithms. Vendors must adopt new pricing structures that maximize user engagement to fully capture the value of personalized technology.
Software pricing often receives little attention from founders, but in the age of artificial intelligence, pricing and product are deeply connected. AI-based software is dynamic, meaning it learns and improves from every data point provided by users. Per-seat pricing models actively discourage this necessary usage by penalizing companies every time a new employee logs in, which ultimately makes the AI product worse.
Unlike traditional static software where features remain the same regardless of how many people use it, AI thrives on maximum engagement. Charging per user creates a direct disincentive for companies to roll out AI tools to their entire workforce. To build the best possible product, AI software vendors need to design pricing models that encourage widespread adoption rather than restrict it.
AI-enabled software delivers highly personalized experiences that provide immense value to individual users and enterprises alike. Historically, specialized vertical software commands a significant premium over generic horizontal tools, and AI takes this personalization even further. By sticking to outdated per-seat pricing, vendors severely limit their ability to capture the true value their intelligent systems create.