Agentic technology or AI agents are one of the emerging themes for 2025. What functions can be packaged as agents? How will agents be priced? Integrations are a useful case study. Agentic AI approaches to integration offer more value than automation and will likely take over the highest value applications.

Amazon is making some big plays as it tries to establish a growth flywheel for AWS in the generative AI era. This includes offering its own chips as alternatives to Nvidia, offering its own models, and supporting the idea that no one model will or should win. Amazon’s pricing for its own models is generally cheaper than the alternatives. How will this impact packaging and pricing in 2025? We offer some suggestions.

Outcome or results based pricing is a dominant theme in B2B SaaS these days. But can cybersecurity companies leverage this? How does one price for what you prevent happening? Cybersecurity pricing will evolve over the next decade to use outcome based pricing where possible.

AI agents are emerging as a standard way to deliver AI functionality, especially in B2B. This has been underlined by Salesforce’s recent Agentforce announcements. Agent pricing is evolving from inputs and number of agents to actions and outcomes. This evolution is framing how we think about pricing generativeAI.

AI agents are emerging as a standard way to deliver AI functionality, especially in B2B. This has been underlined by Salesforce’s recent Agentforce announcements. Agent pricing is evolving from inputs and number of agents to actions and outcomes. This evolution is framing how we think about pricing generativeAI.

Major generative AI vendors are looking for ways to make solutions more compelling, that is to say higher value. What are the emergent strategies? How are they creating value? How will this value get priced?