From AI Economics to AI Unit Adoption
Learn why software companies are entering the next phase of AI maturity.
In this whitepaper, we explore why AI unit economics are becoming the next competitive frontier for software companies.
As software companies mature in their AI adoption, the conversation is shifting from what AI can do to whether it creates value in a sustainable, profitable way. While many organizations have successfully integrated AI into their products and internal operations, the next challenge is understanding the unit economics behind it.
In this whitepaper, Jason Raats explores why AI unit economics are becoming the next competitive frontier for software companies. From token costs and model selection to pricing strategies and ROI, the paper examines how software businesses can maximize customer value while maintaining strong economics.
Topics include:
🔹 How the focus is shifting from AI adoption to AI unit economics
🔹 How AI costs are structured, and what this means for business decisions
🔹 Building a strong ROI case for internal AI investments
🔹 Navigating the new economics of AI-powered software products
🔹 Why creating value, not maximizing AI usage, will define the winners
