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?

AI is changing what we price. That is the theme of our April 26 talk at the Professional Pricing Society conference in Chicago. But it is also changing how we price. Let’s open up our thinking and explore different ways we could apply AI to pricing.

AI Pricing: Early insights from the AI Monetization in 2024 research. Here are some early insights that are emerging: How people view AI, Level of Investment; Percentage of Revenues that will come from AI.

Large amounts of money have been invested in AI, especially generative AI, and there have been many AI and AI enabled product launches. How will companies monetize their investments in AI innovation? Take this survey and we will share the results.

The fast-paced and ever-evolving world of AI has placed pricing at the forefront of business success. Companies are competing fiercely and adapting to the dynamic demands of customers, with AI taking center stage.

Figma is a key application for software application, app and website designers. It has recently introduced Figma AI. How is this priced compared to the other packages?

We are being swamped by generative AI content. This is one of the early use cases for generative AI and both large, well established, companies and start-ups like Jasper and Copy.ai are jumping in. Let’s look at how companies are innovating in this space and capturing the value of their innovations.

We will be making extensive use of AI in pricing. In fact, we have been using some form of AI for many users as revenue management and pricing optimization engines are based on one form of AI or another. By the past year feels different, and the next three years will be different. What are the requirements for the ethical use of pricing in AI?

Generative AI is attracting a lot of interest as an innovation platform. How will generative AI be used to create value? How will that value be priced?

We have entered an AI renaissance. What flavours of AI will have the biggest impact on pricing over the next three years? Here are the top three candidates: predictive analytics, computational game theory, large language models.

SaaS pricing is sometimes described as data driven. It is actually model driven, with data being the raw material used to build and adapt the models. It is the interaction of three models that guides pricing. The value model, the cost model and of course the pricing model itself.

GPT4 and other Large Language Models (LLMs) are driving innovation across the B2B SaaS sector. But how will these foundational technologies be priced and how will this impact SaaS prices generally? We take a look at the pricing model for GPT4.

Open.ai’s wildly popular ChatGPT application announced a paid version on February 1, 2023. ChatGPT Plus as it is called will be available at US$20 per user per month. This is no doubt the first step in the pricing of ChatGPT and complements other ways that Open.ai prices its models.