Usage-based pricing, where customers pay based on consumption, is gaining popularity, especially among cloud providers and AI products, as it scales with user demand.

The pricing model for AI services is evolving; companies might pay for successful outcomes, qualified leads, or resource utilization, reflecting a shift in how value is perceived in AI-driven businesses.

Charging by activity and changing pricing based on workflows are effective strategies for AI companies, moving towards value-based pricing rather than cost-based pricing.

Paid provides infrastructure that helps AI companies transition from simple activity-based pricing to more sophisticated value-based approaches, enabling them to capture their fair share of the value they create.

AI companies should align their pricing with what matters to their customers after demonstrating value, rather than relying solely on fixed or consumption-based pricing models.

The pricing model for AI tools is shifting towards usage-based pricing, making it easier for companies to justify ROI and shorten sales cycles.

Agent-based pricing allows companies to charge based on the work done by AI agents, which can replace a significant portion of traditional sales development roles.

AI can facilitate bespoke contracts that align with customer value, moving away from rigid pricing models and allowing for more tailored agreements, which are essential for AI companies to effectively manage pricing and value delivery.

The potential for AI to revolutionize sales processes is significant, with the possibility of value-based pricing becoming more accepted in the market.