The potential for AI in sales is vast, as a significant portion of sales representatives' time is spent on non-customer-facing tasks.

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.

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.

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

In the sales industry, 75% of what sellers do is non-selling activities, which AI can potentially replace, leading to increased efficiency.

Value-based pricing is common in AI applications, where vendors charge based on the perceived savings or value they provide to customers, rather than just margins.

The emergence of vertical AI is expected to enable a significant increase in the number of companies reaching substantial revenue, as the value proposition for these products is strong.

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.

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.