A recent study from OpenAI reveals that AI tools save the average white-collar worker about 54 minutes daily. With median weekly earnings at $1,165 for full-time workers in Q3 2024, this translates to a significant productivity gain of $7,282 per year per worker based on a 40-hour week. However, current AI pricing only captures a fraction of this value, ranging from 3% to 7% depending on the platform. For instance, ChatGPT Plus costs $240 annually and captures just 3%, while Gamma, which focuses on AI presentations, charges $480 and captures 7%. This pricing gap highlights untapped potential in the market. Typically, vendors capture 10-15% of the productivity gains from their tools, leaving the majority for employers and employees. Microsoft recently announced a price increase for its 365 E3 subscription, raising it from $36 to $39 per user monthly, reflecting a cost-of-living adjustment rather than a move based on value delivered. The article raises questions about the future of AI pricing, particularly whether enterprises will pay for standalone AI tools when they already subscribe to comprehensive platforms like Microsoft 365 or Google Workspace. Moreover, the discussion around bundling versus unbundling of software continues. While Microsoft and Google provide integrated AI tools within their broader software suites, Gamma’s standalone offerings demonstrate a viable market for specialized solutions. With over 600,000 subscribers, Gamma indicates that businesses are willing to pay a premium for best-in-class tools, even when alternatives are bundled. The SaaS ecosystem has long navigated the complexities of bundling, and AI appears to be following suit, with substantial productivity benefits creating opportunities for both approaches.